Thesis (M.S.)--Florida State University, 2005. / Advisor: Dr. Jie Chang, Florida State University, FAMU-FSU College of Engineering, Dept. of Electrical and Computer Engineering. Title and description from dissertation home page (viewed June 9, 2005). Document formatted into pages; contains xiii, 76 pages. Includes bibliographical references.

yes / This article examines recent research in molecular communications from a telecommunications system design perspective. In particular, it focuses on channel models and stateof- the-art physical layer techniques. The goal is to provide a foundation for higher layer research and motivation for research and development of functional prototypes. In the first part of the article, we focus on the channel and noise model, comparing molecular and radio-wave pathloss formulae. In the second part, the article examines, equipped with the appropriate channel knowledge, the design of appropriate modulation and error correction coding schemes. The third reviews transmitter and receiver side signal processing methods that suppress intersymbol- interference. Taken together, the three parts present a series of physical layer techniques that are necessary to producing reliable and practical molecular communications. / The work of C.-B. Chae was in part supported by the Basic Science Research Program (2014R1A1A1002186) funded by the Ministry of Science, ICT and Future Planning (MSIP), Korea, through the National Research Foundation of Korea.

Cell assemblies are considered to be physiological as well as functional units in the brain. A repetitive and stereotypical sequential activation of many neurons was observed, but the mechanisms underlying it are not well understood. Feedforward networks, such as synfire chains, with the pools of excitatory neurons unidirectionally connected and facilitating signal transmission in a cascade-like fashion were proposed to model such sequential activity. When embedded in a recurrent network, these were shown to destabilise the whole network’s activity, challenging the suitability of the model. Here, we investigate a feedforward chain of excitatory pools enriched by inhibitory pools that provide disynaptic feedforward inhibition. We show that when embedded in a recurrent network of spiking neurons, such an augmented chain is capable of robust signal propagation. We then investigate the influence of overlapping two chains on the signal transmission as well as the stability of the host network. While shared excitatory pools turn out to be detrimental to global stability, inhibitory overlap implicitly realises the motif of lateral inhibition, which, if moderate, maintains the stability but if substantial, it silences the whole network activity including the signal. Addition of a disinhibitory pathway along the chain proves to rescue the signal transmission by transforming a strong inhibitory wave into a disinhibitory one, which specifically guards the excitatory pools from receiving excessive inhibition and thereby allowing them to remain responsive to the forthcoming activation. Disinhibitory circuits not only improve the signal transmission, but can also control it via a gating mechanism. We demonstrate that by manipulating a firing threshold of the disinhibitory neurons, the signal transmission can be enabled or completely blocked. This mechanism corresponds to cholinergic modulation, which was shown to be signalled by volume as well as phasic transmission and variably target classes of neurons. Furthermore, we show that modulation of the feedforward inhibition circuit can promote generating spontaneous replay at the absence of external inputs. This mechanism, however, tends to also cause global instabilities. Overall, these results underscore the importance of inhibitory neuron populations in controlling signal propagation in cell assemblies as well as global stability. Specific inhibitory circuits, when controlled by neuromodulatory systems, can robustly guide or block the signals and invoke replay. This mounts to evidence that the population of interneurons is diverse and can be best categorised by neurons’ specific circuit functions as well as their responsiveness to neuromodulators.

The aim of this thesis is to determine the size of overshoot produced at the output of a linear continuous second order system controlled by pulse width modulation depending on the period and duty cycle of the modulation and system parameters. This thesis contains analytic calculation of the size of overshoot produced at the output of the second order system with damping ratio > 0, except the damping ratio equals to 1 (i.e. both underdamped and damped system) depending on period and duty cycle of the modulation. This thesis also includes a comparison of partial analytic results to numerical simulation in Matlab program and also with measurement at second order system model.

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Nesta Dissertação propõe-se a aplicação de algoritmos genéticos para a síntese de filtros para modular sinais de controladores a estrutura variável e modo deslizante. A modulação do sinal de controle reduz a amplitude do sinal de saída e, consequentemente, pode reduzir o consumo de energia para realizar o controle e o chattering. Esses filtros também são aplicados em sistemas que possuem incertezas paramétricas nos quais nem todas as variáveis de estado são medidas. Nesses sistemas, as incertezas nos parâmetros podem impedir que seus estados sejam estimados com precisão por observadores. A síntese desses filtros necessita da obtenção da envoltória, que é o valor máximo da norma de cada resposta impulsiva admissível no sistema. Após este passo, é sintetizado um filtro que seja um majorante para a envoltória. Neste estudo, três métodos de busca da envoltória por algoritmos genéticos foram criados. Um dos métodos é o preferido, pois apresentou os melhores resultados e o menor tempo computacional. / This thesis proposes the application of genetic algorithms for the synthesis of filters which modulate signals of variable structure sliding mode controllers. The modulation of the control signal reduces the amplitude of the output signal and thus can reduce power consumption and chattering. These filters are also applied to systems with parametric uncertainties and unmeasured state variables. In these systems, the uncertainties can impair the accurate estimation of the state by means of observers. For the synthesis of these filters, it is necessary to obtain the envelope which is the maximum norm of each impulse response admissible for the system. After this step, a filter is synthesized to be an upper bound for the envelope. In this study, three methods of search of the envelope by genetic algorithms were developed. One of these methods has been giving the best results and needs the least computational time.

Nesta Dissertação propõe-se a aplicação de algoritmos genéticos para a síntese de filtros para modular sinais de controladores a estrutura variável e modo deslizante. A modulação do sinal de controle reduz a amplitude do sinal de saída e, consequentemente, pode reduzir o consumo de energia para realizar o controle e o chattering. Esses filtros também são aplicados em sistemas que possuem incertezas paramétricas nos quais nem todas as variáveis de estado são medidas. Nesses sistemas, as incertezas nos parâmetros podem impedir que seus estados sejam estimados com precisão por observadores. A síntese desses filtros necessita da obtenção da envoltória, que é o valor máximo da norma de cada resposta impulsiva admissível no sistema. Após este passo, é sintetizado um filtro que seja um majorante para a envoltória. Neste estudo, três métodos de busca da envoltória por algoritmos genéticos foram criados. Um dos métodos é o preferido, pois apresentou os melhores resultados e o menor tempo computacional. / This thesis proposes the application of genetic algorithms for the synthesis of filters which modulate signals of variable structure sliding mode controllers. The modulation of the control signal reduces the amplitude of the output signal and thus can reduce power consumption and chattering. These filters are also applied to systems with parametric uncertainties and unmeasured state variables. In these systems, the uncertainties can impair the accurate estimation of the state by means of observers. For the synthesis of these filters, it is necessary to obtain the envelope which is the maximum norm of each impulse response admissible for the system. After this step, a filter is synthesized to be an upper bound for the envelope. In this study, three methods of search of the envelope by genetic algorithms were developed. One of these methods has been giving the best results and needs the least computational time.