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31	Predictive Energy Management of Long-Haul Hybrid Trucks : Using Quadratic Programming and Branch-and-Bound Jonsson Holm, Erik January 2021 (has links) This thesis presents a predictive energy management controller for long-haul hybrid trucks. In a receding horizon control framework, the vehicle speed reference, battery energy reference, and engine on/off decision are optimized over a prediction horizon. A mixed-integer quadratic program (MIQP) is formulated by performing modelling approximations and by including the binary engine on/off decision in the optimal control problem. The branch-and-bound algorithm is applied to solve this problem. Simulation results show fuel consumption reductions between 10-15%, depending on driving cycle, compared to a conventional truck. The hybrid truck without the predictive control saves significantly less. Fuel consumption is reduced by 3-8% in this case. A sensitivity analysis studies the effects on branch-and-bound iterations and fuel consumption when varying parameters related to the binary engine on/off decision. In addition, it is shown that the control strategy can maintain a safe time gap to a leading vehicle. Also, the introduction of the battery temperature state makes it possible to approximately model the dynamic battery power limitations over the prediction horizon. The main contributions of the thesis are the MIQP control problem formulation, the strategy to solve this with the branch-and-bound method, and the sensitivity analysis. Predictive energy management quadratic programming branch-and-bound mixed-integer quadratic programming energy optimization look-ahead control model predictive control receding horizon control optimal control convex optimization heavy-duty vehicle long-haul truck hybrid electric vehicle Control Engineering Reglerteknik
32	On the Value of Prediction and Feedback for Online Decision Making With Switching Costs Ming Shi (12621637) 01 June 2022 (has links) <p>Online decision making with switching costs has received considerable attention in many practical problems that face uncertainty in the inputs and key problem parameters. Because of the switching costs that penalize the change of decisions, making good online decisions under such uncertainty is known to be extremely challenging. This thesis aims at providing new online algorithms with strong performance guarantees to address this challenge.</p> <p><br></p> <p>In part 1 and part 2 of this thesis, motivated by Network Functions Virtualization and smart grid, we study competitive online convex optimization with switching costs. Specifically, in part 1, we focus on the setting with an uncertainty set (one type of prediction) and hard infeasibility constraints. We develop new online algorithms that can attain optimized competitive ratios, while ensuring feasibility at all times. Moreover, we design a robustification procedure that helps these algorithms obtain good average-case performance simultaneously. In part 2, we focus on the setting with look-ahead (another type of prediction). We provide the first algorithm that attains a competitive ratio that not only decreases to 1 as the look-ahead window size increases, but also remains upper-bounded for any ratio between the switching-cost coefficient and service-cost coefficient.</p> <p><br></p> <p>In part 3 of this thesis, motivated by edge computing with artificial intelligence, we study bandit learning with switching costs where, in addition to bandit feedback, full feedback can be requested at a cost. We show that, when only 1 arm can be chosen at a time, adding costly full-feedback is not helpful in fundamentally reducing the Θ(<em>T</em>2/3) regret over a time-horizon <em>T</em>. In contrast, when 2 (or more) arms can be chosen at a time, we provide a new online learning algorithm that achieves a significantly smaller regret equal to <em>O</em>(√<em>T</em>), without even using full feedback. To the best of our knowledge, this type of sharp transition from choosing 1 arm to choosing 2 (or more) arms has never been reported in the literature.</p> Network engineering bandit learning switching costs regret analysis online convex optimization competitive analysis look-ahead regularization competitive online algorithms Network Functions Virtualization ramp constraints robustification
33	Practical Real-Time with Look-Ahead Scheduling Roitzsch, Michael 19 September 2013 (has links) In my dissertation, I present ATLAS — the Auto-Training Look-Ahead Scheduler. ATLAS improves service to applications with regard to two non-functional properties: timeliness and overload detection. Timeliness is an important requirement to ensure user interface responsiveness and the smoothness of multimedia operations. Overload can occur when applications ask for more computation time than the machine can offer. Interactive systems have to handle overload situations dynamically at runtime. ATLAS provides timely service to applications, accessible through an easy-to-use interface. Deadlines specify timing requirements, workload metrics describe jobs. ATLAS employs machine learning to predict job execution times. Deadline misses are detected before they occur, so applications can react early.:1 Introduction 2 Anatomy of a Desktop Application 3 Real Simple Real-Time 4 Execution Time Prediction 5 System Scheduler 6 Timely Service 7 The Road Ahead Bibliography Index info:eu-repo/classification/ddc/004 ddc:004 Betriebssystem; Scheduling
34	Design and Rapid-prototyping of Multidimensional-DSP Beamformers Using the ROACH-2 FPGA Platform Seneviratne, Vishwa January 2017 (has links) No description available. Communication Electrical Engineering Engineering ROACH-2 multidimensional FPGA polyphase structures beamformers systolic arrays planar array phased-array wideband beamformers plane wave signal beam filter passive LRC networks multirate VLSI ADC antenna arrays look-ahead optimization
35	A Methodology for Development of Look Ahead Based Energy Management System Using Traffic In Loop Simulation Vallur Rajendran, Avinash 31 May 2018 (has links) No description available. Mechanical Engineering Automotive Engineering Electrical Engineering Transportation hybrid vehicles electric vehicles REEV look ahead control energy management traffic simulation powertrain control traffic in loop simulation data enabled control fuel economy improvement automotive sensors SUMO real world fuel economy estimation
36	Assosiasie en koördinasie van notasie met klawers by die ontwikkeling van 'n leesvermoë by die klavierbeginner Hesse, Maria Elizabetha 30 November 2005 (has links) The study substantiates common strategies and theories regarding the teaching of sight-reading. The literature study done on sight-reading at the keyboard consists of opinions and recommendations resulting from empirical findings of well-known piano pedagogues. Seven beginner courses were analysed in order to assess their presentation of a well-structured development of piano sight-reading against the opinions and recommendations of well-known piano pedagogues and authors in this field as well as the personal experience of the researcher. During this process it was discovered that insufficient attention was paid to the development of the association between a note symbol and its corresponding key on the piano. However no attention was paid to the act of playing while reading ahead. The researcher compiled additional progressive exercises for the 7 to 9 year old beginner, to address the above-mentioned discrepancies. The exercises and their individual purposes are clearly explained with instructions regarding their performance. / Hierdie studie bevestig algemene strategieë en teorieë aangaande die ontwikkeling van vaardighede om musieknotasie te lees en te speel. Die literatuur wat in hierdie studie bestudeer is, handel oor opinies en aanbevelings van vooraanstaande klavierpedagoë wat voortspruit uit die resultate van hulle empiriese navorsing. Sewe aanvangskursusse is ontleed en die aktiwiteite en metodes waarvolgens vaardighede onderrig word om musieknotasie te leer lees en speel, is gemeet aan die aanbevelings van vooraanstaande klavierpedagoë, navorsers op die gebied, asook die navorser se eie ervaring met die boeke. Gedurende die studie is daar ontdek dat daar meesal nie aandag geskenk word aan die ontwikkeling van 'n assosiasie tussen 'n toonhoogtesimbool en ooreenstemmende klawer op die klavier nie en glad nie aan die proses van vooruitlees nie. Om hierdie tekortkominge te oorkom het die navorser 'n stel aanvullende en progressiewe oefeninge saamgestel wat maklik genoeg uitvoerbaar is vir die 7- tot 9-jarige beginner. Duidelike beskrywings van die oefeninge, elkeen se spesifieke doel, en aanwysings vir effektiewe uitvoering daarvan word verskaf. / Art History, Visual Arts & Music / M.A. (Musicology) Association Keyboard Beginner Look ahead Beginners course Melodic patterns Directional reading Piano key Ensemble playing Rhythmic patterns Exercises Sight-reading First lesson Topography Intervals Visualisation Aanvangskursusse Lees en speel Akkoordpatrone Melodiese patrone Assosiasie Oefeninge Beginner Ritmepatrone Eerste les Samespel Innerlike voorstelling Speelrigtings Interval-afstand Topografie Klavierklawer Vooruitlees Klawerbord 781.423071
37	Assosiasie en koördinasie van notasie met klawers by die ontwikkeling van 'n leesvermoë by die klavierbeginner Hesse, Maria Elizabetha 30 November 2005 (has links) The study substantiates common strategies and theories regarding the teaching of sight-reading. The literature study done on sight-reading at the keyboard consists of opinions and recommendations resulting from empirical findings of well-known piano pedagogues. Seven beginner courses were analysed in order to assess their presentation of a well-structured development of piano sight-reading against the opinions and recommendations of well-known piano pedagogues and authors in this field as well as the personal experience of the researcher. During this process it was discovered that insufficient attention was paid to the development of the association between a note symbol and its corresponding key on the piano. However no attention was paid to the act of playing while reading ahead. The researcher compiled additional progressive exercises for the 7 to 9 year old beginner, to address the above-mentioned discrepancies. The exercises and their individual purposes are clearly explained with instructions regarding their performance. / Hierdie studie bevestig algemene strategieë en teorieë aangaande die ontwikkeling van vaardighede om musieknotasie te lees en te speel. Die literatuur wat in hierdie studie bestudeer is, handel oor opinies en aanbevelings van vooraanstaande klavierpedagoë wat voortspruit uit die resultate van hulle empiriese navorsing. Sewe aanvangskursusse is ontleed en die aktiwiteite en metodes waarvolgens vaardighede onderrig word om musieknotasie te leer lees en speel, is gemeet aan die aanbevelings van vooraanstaande klavierpedagoë, navorsers op die gebied, asook die navorser se eie ervaring met die boeke. Gedurende die studie is daar ontdek dat daar meesal nie aandag geskenk word aan die ontwikkeling van 'n assosiasie tussen 'n toonhoogtesimbool en ooreenstemmende klawer op die klavier nie en glad nie aan die proses van vooruitlees nie. Om hierdie tekortkominge te oorkom het die navorser 'n stel aanvullende en progressiewe oefeninge saamgestel wat maklik genoeg uitvoerbaar is vir die 7- tot 9-jarige beginner. Duidelike beskrywings van die oefeninge, elkeen se spesifieke doel, en aanwysings vir effektiewe uitvoering daarvan word verskaf. / Art History, Visual Arts and Music / M.A. (Musicology) Association Keyboard Beginner Look ahead Beginners course Melodic patterns Directional reading Piano key Ensemble playing Rhythmic patterns Exercises Sight-reading First lesson Topography Intervals Visualisation Aanvangskursusse Lees en speel Akkoordpatrone Melodiese patrone Assosiasie Oefeninge Beginner Ritmepatrone Eerste les Samespel Innerlike voorstelling Speelrigtings Interval-afstand Topografie Klavierklawer Vooruitlees Klawerbord 781.423071

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