The subject of this experimental investigation is to measure the dynamic stability derivatives in roll plane for an oscillating combat aircraft model by using forced oscillation technique. In forced oscillation technique the model is forced to oscillate around the center of gravity according to a harmonic motion of small amplitude and low frequency. The aerodynamic reactions are measured by an internal balance placed inside the model. The thesis presents a brief description of the test rig and the measurement system. The theory of dynamic stability derivatives and forced oscillation technique are also explained. The data is collected and analyzed by using a data acquisition system written with under the Labview programming language. Systematic analysis of the static and dynamic tests results and effect of various parameters (angle of attack, sideslip angle, oscillation frequency and amplitude, wind velocity) on these results are presented. Comparison of the present results with previous results obtained in other test facilities is also given. Design and manufacture process of a new angle of attack mechanism is also given in this thesis.

Inertial measurement units (IMUs) are being recognized as a portable and cost-effective alternative to motion analysis systems and have the potential to be introduced into clinical settings for the assessment of functional movement quality of the spine in patients with low back pain. However, uncertainties regarding sensor accuracy and reliability are limiting the widespread use and acceptance of IMU-based assessments into routine clinical practice. The objective of this work was to assess the performance of inexpensive wearable IMUs (Mbientlab MetaMotionR IMUs; Mbientlab Inc., San Francisco, USA; product specifications available in Appendix C) relative to conventional optical motion capture equipment (Vicon Motion Systems Ltd., Oxford, UK) in: 1) a controlled environment, and 2) an uncontrolled environment. The first study evaluated the performance of 2 IMUs in a controlled environment during simulated repetitive spine motion carried out by means of a motorized gimbal. Root mean square error (RMSE) and mean absolute measurement differences between cycle-to-cycle minimum, maximum, and range of motion values, as well as correlational analyses within IMUs and between IMUs and Vicon, in all movement directions (i.e., simulated flexion-extension (FE), lateral bending (LB), and axial twisting (AT)), were compared. Measurement error was low in all axes during all tests (i.e., ≤ 1.54°); however, low-to-moderate correlational results were found in one non-primary axis, and this axis changed depending on the direction of the movement (i.e., LB during FE-motion (0.244 ≤ R ≤ 0.515), AT during LB-motion (0.594 ≤ R ≤ 0.795), and FE during AT-motion (0.002 ≤ R ≤ 0.255)). The second study was designed to assess the performance of the IMUs in an uncontrolled environment during repetitive spine FE in human participants. Absolute angles and local dynamic stability were compared for individual IMUs (which were placed over T10-T12 spinous processes, and the pelvis) as well as for relative motion between IMUs. Maximum finite-time Lyapunov exponents (λmax) were used to quantify local dynamic stability and were calculated using both FE and the sum of squares (SS) from measured spine kinematics. It was found that the IMUs have acceptable performance in all axes when tracking motion (RMSE ≤ 2.43°); however, low-to-moderate correlational results were found in one non-primary axis (0.987 ≤ RFE ≤ 0.998; 0.746 ≤ RLB ≤ 0.978; 0.343 ≤ RAT ≤ 0.679). In addition, correlations between λmax estimates were high; therefore, local dynamic stability can be accurately estimated using both FE and SS data (0.807 ≤ 〖ICC〗_2,1^FE ≤ 0.919; 0.738 ≤ 〖ICC〗_2,1^SS ≤ 0.868). Correlation between λmax estimates was higher when using FE data for individual sensors/rigid-body marker clusters; however, correlation was higher when using SS data for relative motion. In general, the results of these studies show that the MetaMotionR IMUs have acceptable performance in all axes when considering absolute angle orientation and motion tracking, and measurement of local dynamic stability; however, there is low-to-moderate correlation in one non-primary axis, and that axis changes depending on the direction of motion. Future research will investigate how to optimize performance of the third axis for motion tracking; it will also focus on understanding the significance of the third axis performance when calculating specific outcome measures related to spine movement quality.

Cargas e fontes elétricas de pequeno porte, integradas através de alimentadores de distribuição de baixa tensão, agrupadas e gerenciadas de tal maneira que se comportem como uma única entidade controlável dentro de um sistema de potência e com a capacidade de operar de forma paralela ou isolada da rede elétrica convencional, constituem-se em um novo tipo de sistema elétrico conhecido como Minirrede. Esta tese aborda o problema relacionado à estabilidade dinâmica de Minirredes com controle autônomo de frequência e tensão, quando operadas de forma isolada da rede convencional. As minirredes analisadas são compostas por combinações de fontes elétricas convencionais e fontes alternativas que não geram naturalmente em 50 ou 60 Hz, sendo necessária a utilização de inversores para sua conexão com a rede elétrica. A análise se realiza no espaço de estados com metodologias baseadas nas teorias que envolvem os autovalores e autovetores da matriz de estado. Para isto, modelos no espaço de estados são desenvolvidos para cada componente da Minirrede, mantendo um compromisso entre precisão e complexidade. O caráter analítico da análise permite investigar a relação entre a estabilidade da Minirrede e os parâmetros do sistema, tais como ganhos dos controladores, dimensionamento da rede, configurações de geração, entre outros. Análises complementares de sensibilidade dos autovalores aos parâmetros elétricos do sistema permitem inferir o comportamento dinâmico de diversas configurações de Minirredes, obtendo-se importantes conclusões à respeito. Os resultados analíticos são verificados através de simulação computacional no ambiente Simulink/Matlab®. / Electrical loads and small power sources, integrated through low voltage distribution feeders, managed in such a way to behave as one controllable entity within in a power system, and with the ability to operate connected or non-connected to the conventional power system is a new kind of electrical system known as Microgrid. This thesis addresses the problem related to dynamic stability of island Microgrids with autonomous control of frequency and voltage. The Microgrids analyzed are composed of combinations of conventional and alternative power sources that do not generate electricity naturally in 50 or 60 Hz, therefore inverters are needed to provide AC network interface. The analysis is performed in the state space with methodologies based on theories involving the eigenvalues and eigenvectors of the state matrix. For this, state-space models are developed for each component of Microgrid, maintaining a compromise between accuracy and complexity. The analytical nature of this study allows investigating the relationship between the stability of Microgrid and parameters of the system, such as controller gains, network design, generation architectures, among others. Complementary sensitivity analyzes of eigenvalues to the electrical parameters of the system allow us to infer the dynamic behavior of various configurations of Microgrids, obtaining important conclusions on the matter. The analytical results are verified by computer simulation using the platform Simulink/Matlab®.

Stepped hull forms are hulls with a vertical step in the hull bottom to improve performance at top speed. Stepped hulls are well documented anecdotally and scientifically to improve calm water performance at high speeds, but commonly demonstrate dangerous and unexpected dynamic instabilities during initial trials. These hulls also operate practically in waves, but their performance characteristics in waves are not well understood and rarely evaluated prior to full scale trials. To expand the scientific understanding of stepped hull performance, a systematic set of experiments and Reynolds Averaged Navier Stokes (RANS) computational fluid dynamics (CFD) simulations are used to evaluate the calm water performance, dynamic stability, and regular head wave response of two stepped hull models. Calm water experiments on two stepped hull models at varying displacement, longitudinal center of gravity location and forward speed offer data which can be used in the design to interpolate hull performance throughout expected operating conditions. CFD simulations in calm water are validated using the experimental results and numerical modeling approaches for stepped hull simulations are recommended. The calm water dynamic stability of both stepped hulls is investigated experimentally and numerically and procedures to evaluate the dynamic stability using both approaches are recommended. The performance of both stepped hulls in regular head waves is studied through experiments, which are used to validate CFD simulations of the hull in regular waves. System identification is used on five calm water CFD simulations to identify a reduced order model for the prediction of stepped hull response in waves. / Doctor of Philosophy / Boats designed specifically for high-speed operations, like military patrol craft, can often achieve higher top speeds when small vertical steps are added to the bottom of the hull. When a step is introduced, the back portion of the hull bottom is raised above the forward portion of the hull bottom to allow air underneath the hull at high speeds. When designed properly, a stepped hull can be safely operated by experienced and unexperienced users at higher speeds than conventional hulls. However, when the steps are not designed well a boat can be dangerous to operate, suffering from unexpected phenomena like end swapping (where the boat violently rotates from bow to stern) when beginning a turn. Unfortunately, it is currently difficult to predict how a stepped hull will behave during the early stages of the design. Builders often rely on full-scale prototype trials to assess the performance and safety of their designs, which is an expensive process. In this work, experimental tests (on small scale models) and computer simulations were performed on two stepped hull models in calm water and in waves to establish techniques to predict performance and safety without a full-scale prototype. The experiments were used to compare the performance of two geometries and assess the accuracy of computer simulation predictions. The computer simulations were found to predict the stepped hull performance accurately enough to be used in design prior to prototyping. Procedures are recommended to evaluate the safety of a stepped hull through experiments and computer simulations. Evaluation of hull safety through computer simulations or experiments offers the opportunity to reduce danger to test personnel during full scale trials and minimize the need for expensive design modifications after construction of the first prototype. The performance of the two hull designs in waves were studied experimentally, through computer simulation, and through a simplified method informed by computer simulations. The development of a simplified method to evaluate stepped hull performance in waves offers the opportunity for designers to consider performance in waves earlier in the design for a lower cost than previously available.

Thesis (MSc)--Stellenbosch University, 2013. / ENGLISH ABSTRACT: Metabolic systems are open systems continually subject to changes in the surrounding environment that cause uctuations in the state variables and perturbations in the system parameters. However, metabolic systems have mechanisms to keep them dynamically and structurally stable in the face of these changes. In addition, metabolic systems also cope with large changes in the uxes through the pathways, not letting metabolite concentrations vary wildly. Quantitative measures have previously been proposed for "metabolic regulation", using the quantitative framework of Metabolic Control Analysis. However, the term "regulation" is so loosely used so that its content is mostly lost. These di erent measures of regulation have also not been applied to a model and comparably investigated prior to this study. Hence, this study analyses the usefulness of the di erent quantitative measures in answering di erent types of regulatory questions. Thus, the aim of this study was to distinguish the above mentioned aspects of metabolic regulation and to nd appropriate quantitative measures for each, namely dynamic stability, structurally stability, and homeostasis. Dynamic stability is the property of a steady state to return to its original state after a perturbation in a metabolite in the system, and can be analysed in terms of self and internal-response coe cients. Structural stability is concerned with the change in steady state after a perturbation of a parameter in the system, and can be analysed in terms of concentration-response coe cients. Furthermore, it is shown that control patterns are useful in understanding which system properties determine structural stability and to what degree. Homeostasis is de ned as the change in the steady-state concentration of a metabolite relative to the change in the steady-state ux through the metabolite pool following a perturbation in a system parameter, and co-response coe cients are proposed as quantitative measures of homeostasis. More speci cally, metabolite-ux coresponse coe cients allow the de nition of an index that quanti es to which degree a metabolite is homeostatically regulated. A computational model of a simple linear metabolic sequence subject to feedback inhibition with di erent sets of parameters provided a test-bed for the quantitative analysis of metabolic regulation. Log-log rate characteristics and parameter portraits of steady-state variables, as well as response and elasticity coe cients were used to analyse the steady-state behaviour and control properties of the system. This study demonstrates the usefulness of generic models based on proper enzyme kinetics to further our understanding of metabolic behaviour, control and regulation and has laid the groundwork for future studies of metabolic regulation of more complex core models or of models of real systems. / AFRIKAANSE OPSOMMING: Metaboliese sisteme is oop sisteme wat gedurig blootgestel word aan `n uktuerende omgewing. Hierdie uktuasies lei tot veranderinge in beide interne veranderlikes en parameters van metaboliese sisteme. Metaboliese sisteme besit egter meganismes om dinamies en struktureel stabiel te bly. Verder verseker hierdie meganismes ook dat die konsentrasies van interne metaboliete relatief konstant bly ten spyte van groot veranderinge in uksie deur die metaboliese pad waarvan hierdie metaboliete deel vorm. Kwantitatiewe maatstawwe is voorheen voorgestel vir "metaboliese regulering", gebaseer op die raamwerk van Metaboliese Kontrole Analise. Die onkritiese gebruik van die term "regulering" ontneem egter hierdie konsep van sinvolle betekenis. Voor hierdie studie is die voorgestelde maatstawwe van regulering nog nie toegepas op 'n model ten einde hulle met mekaar te vergelyk nie. Die huidige studie ondersoek die toepaslikheid van die verskillende maatstawwe om verskillende tipe vrae oor regulering te beantwoord. Die doelwit van hierdie studie was om aspekte van metaboliese regulering, naamlik dinamiese stabiliteit, strukturele stabiliteit en homeostase, te onderskei, asook om 'n gepaste maatstaf vir elk van die verskillende aspekte te vind. Dinamiese stabiliteit is 'n eienskap van 'n bestendige toestand om terug te keer na die oorspronklike toestand na perturbasie van die konsentrasie van 'n interne metaboliet. Hierdie aspek van regulering kan in terme van interne respons en self-respons koeffi siente geanaliseer word. Strukturele stabiliteit van 'n bestendige toestand beskryf die mate van verandering van die bestendige toestand nadat 'n parameter van die sisteem geperturbeer is, en kan in terme van konsentrasie-responskoeffisiente geanaliseer word. Verder wys hierdie studie dat kontrole patrone van nut is om vas te stel watter eienskappe van 'n sisteem die strukturele stabiliteit bepaal en tot watter mate. Homeostase word gede finieer as die verandering in die konsentrasie van 'n interne metaboliet relatief tot die verandering in die uksie deur daardie metaboliese poel nadat 'n parameter van die sisteem verander het. Vir die analise van hierdie aspek van regulering word ko-responskoe ffisiente as 'n maatstaf voorgestel. Meer spesi ek kan metaboliet- uksie ko-responskoeff siente gebruik word om `n indeks te de nieer wat meet tot watter mate 'n metaboliet homeostaties gereguleer word. 'n Rekenaarmatige model van 'n eenvoudige lineere metaboliese sekwens wat onderhewig is aan terugvoer inhibisie is gebruik om die verskillende aspekte van metaboliese regulering kwantitatief te analiseer met vier verskillende stelle parameters. Dubbel-logaritmiese snelheidskenmerke en parameter portrette van bestendige toestandsveranderlikes, asook van respons- en elastisiteit koeffisente is gebruik om die bestendige toestandsgedrag en kontrole eienskappe van die sisteem te analiseer. Hierdie studie demonstreer die nut van generiese modelle wat op korrekte ensiemkinetika gebaseer is om ons verstaan van metaboliese gedrag, kontrole en regulering te verdiep. Verder dien hierdie studie as grondslag vir toekomstige studies van metaboliese regulering van meer ingewikkelde kernmodelle of modelle van werklike sisteme. / National Research Foundation

Enabled by advanced communication and information technologies, the smart grid represents a major transformation for the electricity sector. Vast quantities of data and two-way communications abilities create the potential for a flexible, data-driven, multi-directional supply and consumption network well equipped to meet the challenges of the next century. For electricity service providers (“utilities”), the smart grid provides opportunities for improved business practices and new business models; however, a transformation of such magnitude is not without risks. Three related studies are conducted to explore the implications of the smart grid on utilities’ demand-side activities. An initial conceptual framework, based on organizational information processing theory, suggests that utilities’ performance depends on the fit between the information processing requirements and capacities associated with a given demand-side activity. Using secondary data and multiple regression analyses, the first study finds, consistent with OIPT, a positive relationship between utilities’ advanced meter deployments and demand-side management performance. However, it also finds that meters with only data collection capacities are associated with lower performance, suggesting the presence of information waste causing operational inefficiencies. In the second study, interviews with industry participants provide partial support for the initial conceptual model, new insights are gained with respect to information processing fit and information waste, and “big data” is identified as a central theme of the smart grid. To derive richer theoretical insights, the third study employs a grounded theory approach examining the experience of one successful utility in detail. Based on interviews and documentary data, the paradox of dynamic stability emerges as an essential enabler of utilities’ performance in the smart grid environment. Within this context, the frames of opportunity, control, and data limitation interact to support dynamic stability and contribute to innovation within tradition. The main contributions of this thesis include theoretical extensions to OIPT and the development of an emergent model of dynamic stability in relation to big data. The thesis also adds to the green IS literature and identifies important practical implications for utilities as they endeavour to bring the smart grid to reality. / Thesis (Ph.D, Management) -- Queen's University, 2013-01-21 12:04:43.652

The ability to control balance and stability are essential to prevent falls during locomotion. Maintenance of stable locomotion is challenging especially when complicated by amputation and prosthesis use. Humans employ several motor strategies to maintain stability during walking on complex terrain: decreasing walking speed, adjusting stride length and stance width, lowering the center of mass, and prolonging the double support time. The mechanisms of selecting these motor strategies by the primary motor cortex are unknown and cannot be studied directly in humans. There is also little information about dynamic stability of prosthetic gait with bone-anchored prostheses, which are thought to provide sensory feedback to the amputee through osseoperception. Therefore, the Specific Aims of my research were to (1) evaluate dynamic stability and the activity of the primary motor cortex during walking with different constraints on the base of support and (2) develop an animal model to evaluate mechanics and stability of prosthetic gait with a bone-anchored prosthesis. To address these aims, I developed a feline model that allows for investigating (1) the role of the primary motor cortex in regulation of dynamic stability of intact locomotion, (2) skin and bone integration with a percutaneous porous titanium implant facilitating prosthetic attachment, and (3) dynamic stability of walking on a bone-anchored prosthesis. The results of Specific Aim 1 demonstrated that the area and shape of the base of support influence the margins of dynamic stability during quadrupedal walking. For example, I found that the animal is dynamically unstable in the sagittal plane and frontal plane (although to a lesser degree) during a double-support by a forelimb and the contralateral hindlimb. Elevated neuronal activity from the right forelimb representation in the primary motor cortex during these phases suggests that the motor cortex may contribute to selection of paw placement location and thus to regulation of stability. The results of Specific Aim 2 on the development of skin-integrated bone-anchored prostheses demonstrated the following. Skin ingrowth into 3 types of porous titanium pylons (pore sizes 40-100 μm and 100-160 μm and nano-tubular surface treatment) implanted under skin of rats was seen 3 and 6 weeks after implantation, and skin filled at least 30% of available implant space. The duration of implantation, but not implant pore size (in the studied range) or surface treatment statistically influenced skin ingrowth; pore size and time of implantation affected the implant extrusion length (p<0.05). The implant type with the slowest extrusion rate (pore size 40-100 μm) was used in a feline model of prosthetic gait with skin-integrated bone-anchored prosthesis. The developed implantation methods, rehabilitation procedures and feline prostheses allowed 2 animals to utilize skin- and bone-integrated prostheses for dynamically stable locomotion. Prosthetic gait analysis demonstrated that the animals loaded the prosthetic limb, but increased reliance on intact limbs for weight support and propulsion. The obtained results and developed animal model improve the understanding of locomotor stability control and integration of skin with percutaneous implants.

The problem of dynamic stability of power system has challenged power system engineers since over three decades now. In a generator, the electromechanical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a spring mass damper system, which exhibits an oscillatory behaviour around the equilibrium state, following any disturbance, such as sudden change in loads, change in transmission line parameters, fluctuations in the output of turbine and faults etc. The use of fast acting high gain AVRs and evolution of large interconnected power systems with transfer of bulk power across weak transmission links have further aggravated the problem of low frequency oscillations. The oscillations, which are typically in the frequency range of 0.2 to 3.0 Hz, might be excited by the disturbances in the system or, in some cases, might even build up spontaneously. These oscillations limit the power transmission capability of a network and, sometimes, even cause a loss of synchronism and an eventual breakdown of the entire system. The application of Power System Stabilizer (PSS) can help in damping out these oscillations and improve the system stability. The traditional and till date the most popular solution to this problem is application of conventional power system stabilizer (CPSS). However, continual changes in the operating condition and network parameters result in corresponding change in system dynamics. This constantly changing nature of power system makes the design of CPSS a difficult task. Adaptive control methods have been applied to overcome this problem with some degree of success. However, the complications involved in implementing such controllers have restricted their practical usage. In recent years there has been a growing interest in robust stabilization and disturbance attenuation problem. H∞ control theory provides a powerful tool to deal with robust stabilization and disturbance attenuation problem. However the standard H∞ control theory does not guarantee robust performance under the presence of all the uncertainties in the power plants. This thesis provides a method for designing fixed parameter controller for system to ensure robustness under model uncertainties. Minimum performance required of PSS is decided a priori and achieved over the entire range of operating conditions. A new method has been proposed for tuning the parameters of a fixed gain power system stabilizer. The stabilizer places the troublesome system modes in an acceptable region in the complex plane and guarantees a robust performance over a wide range of operating conditions. Robust D-stability is taken as primary specification for design. Conventional lead/lag PSS structure is retained but its parameters are re-tuned using genetic algorithm (GA) to obtain enhanced performance. The advantage of GA technique for tuning the PSS parameters is that it is independent of the complexity of the performance index considered. It suffices to specify an appropriate objective function and to place finite bounds on the optimized parameters. The efficacy of the proposed method has been tested on single machine as well as multimachine systems. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and still guarantees a robust acceptable performance over a wide range of operating and system condition. The method suggested in this thesis can be used for designing robust power system stabilizers for guaranteeing the required closed loop performance over a prespecified range of operating and system conditions. The simplicity in design and implementation of the proposed stabilizers makes them better suited for practical applications in real plants.

Intraspecific genetic diversity is an important attribute of natural populations and is deemed critical for their adaptive potential and persistence. However, we have limited empirical understanding of the impact of genetic diversity on population performance under different conditions. For my dissertation, I conducted long-term laboratory experiments with populations of the flour beetle Tribolium castaneum to test the consequences of genetic variation for population dynamic stability and niche evolution. In Chapter 1, I show that genetic variation prevented population extinction in a novel habitat. In addition, genetically diverse populations were more stable, both in a novel heterogeneous habitat and in their ancestral habitat. In the ancestral habitat, alleles from a single founding lineage dominated the dynamics, leading to increased stability of genetically diverse populations. However, such as selective effect was not observed in the novel heterogeneous habitat. Therefore, while genetic variation within populations increased their stability and persistence, the magnitude of the impact and its mechanism depended on the selective habitat. In Chapter 2, I ask whether genetic variation also facilitates resource niche expansion, i.e., use of a novel resource. Using stable carbon isotopes, I analyzed diets of beetles sampled from the above experiment and quantified the rate of change in resource use. Contrary to theoretical predictions, I found that genetic variation for resource use had no effect on the rate of niche evolution. Furthermore, behavioral niche expansion accounted for most of the adaptation to the novel resource, and the behavioral change hindered subsequent evolutionary change in resource use. It is thus apparent that in the short term, behavioral plasticity in niche use may impose far greater constraints on niche evolution than the amount of standing genetic variation. Mathematical models predict that intraspecific competition generates selection for niche evolution, and that genetic variation increases the response to selection. Therefore, I hypothesized that the impact of genetic variation on resource niche evolution may depend on the degree of intraspecific competition. In the final chapter of this thesis, I describe results of an experiment to test this hypothesis. I found that genetic variation and competition indeed interacted to increase the rate of niche expansion in T. castaneum, but that their impacts were temporally variable. Furthermore, the two factors acted on different components of niche evolution: while competition only affected the degree of niche expansion, genetic variation also promoted maintenance of individual variation in resource use. In summary, my thesis describes experiments to test for the ecological and evolutionary impacts of intraspecific genetic variation; and its interaction with behavioral plasticity, intraspecific competition, and resource availability. Genetic diversity and behavioral plasticity are common features of living organisms, and therefore it is vital to understand their combined consequences for population ecological and evolutionary dynamics. In addition, natural populations often face intense competition for limited resources. Hence the experimental results presented here can help us to better understand how populations overcome these resource constraints, given their specific genetic composition. Biologists are increasingly aware that the intricate connection between ecological and evolutionary dynamics is important to gain a more complete understanding of population biology. The work described here represents one of the few experiments providing such detailed mechanistic understanding of the interactions between- and consequences of - key ecological and evolutionary parameters. Finally, the results have important implications for conservation biology, because they show that the effects of genetic diversity can vary greatly depending on a number of population and environmental parameters. / text

Background: The most common injuries in new or novice runners include medial tibial stress syndrome and patellofemoral pain syndrome; both overuse injuries. It is known that novice runners use a rearfoot strike pattern 98% of the time while running in traditional running footwear. Furthermore, footwear that is constructed with less cushioning (minimal shoes) and is said to promote forefoot running has increased in popularity. It is still unknown if novice runners convert their strike pattern in minimal shoes or continue to use a rearfoot strike pattern. Consequences of continuing to use a rearfoot strike pattern with less cushioning underfoot include higher vertical loading rates which are directly related to the types of injuries experienced. Aside from the strike pattern in a given shoe, movement stability is an important feature in healthy locomotion. There is a trade-off between being overly stable and being too unstable while running. It is known that the level of experience in running is related to the amount of stride length variability. It is still unknown if altering midsole stiffness has an effect on local dynamic stability while running. Purpose: The primary purpose of this thesis was to compare landing kinematics and kinetics between trained and novice runners in minimal and traditional shoes. The secondary purpose of this thesis was to examine the effect of running experience and midsole construction on local dynamic stability at the ankle, knee and hip. Methods: Twelve trained runners and twelve novice runners were recruited for participation. Four prototypical shoe conditions were tested with midsole geometry and material stiffness being manipulated. This yielded traditional/soft, traditional/hard, minimal/soft and minimal/hard shoe conditions. Participants ran down a 30m indoor runway which was instrumented with force platforms to measure vertical loading rates and motion capture cameras to capture landing kinematics. Participants also ran on a treadmill in each shoe condition to allow for local dynamic stability to be estimated at the ankle, knee and hip in the sagittal plane. Results: Novice runners landed with increased knee extension compared to trained runners. Increasing midsole thickness of the shoes caused an increase in dorsi-flexion of the ankle at heel strike. Manipulating material stiffness did not influence landing kinematics but did influence kinetics. Furthermore, decreasing material stiffness lowered vertical loading rates. Trained runners exhibited increased local dynamic stability (more stable) at the ankle, knee and hip compared to novice runners. Local dynamic stability was not affected by midsole stiffness. Conclusions: Novice runners did not alter their strike pattern in minimally constructed shoes. For this reason, cushioning properties of the shoe dictated vertical loading rates upon the body. Shoe conditions did not alter landing kinematics above the ankle, which is where the between group differences existed as novice runners landed with a more extended knee. Running experience appears to play a role in knee orientation at landing and is unaffected by shoe condition. Local dynamic stability was affected by running experience and does not appear to be related to the shoe condition being worn. Even when kinematics changed across shoe conditions, the stability of the movement did not.