Lagrangian and Hamiltonian Methods For Nonlinear Control 2006
Author: Francesco Bullo
Publisher: Springer
Published: 2007-10-06
Total Pages: 399
ISBN-13: 3540738908
DOWNLOAD EBOOKPosts
Lagrangian and Hamiltonian Methods For Nonlinear Control 2006
Author: Francesco Bullo
Publisher: Springer
Published: 2009-09-02
Total Pages: 398
ISBN-13: 9783540841555
DOWNLOAD EBOOKOptimization and Cooperative Control Strategies
Author: Michael Hirsch
Publisher: Springer Science & Business Media
Published: 2009-01-17
Total Pages: 456
ISBN-13: 3540880623
DOWNLOAD EBOOKCooperative, collaborating autonomous systems are at the forefront of research efforts in numerous disciplines across the applied sciences. There is constant progress in solution techniques for these systems. However, despite this progress, cooperating systems have continued to be extremely difficult to model, analyze, and solve. Theoretical results are very difficult to come by. Each year, the International Conference on Cooperative Control and Optimization (CCO) brings together top researchers from around the world to present new, cutting-edge, ideas, theories, applications, and advances in the fields of autonomous agents, cooperative systems, control theory, information flow, and optimization. The works in this volume are a result of invited papers and selected presentations at the Eighth Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, January 30 – February 1, 2008.
Advances in Cooperative Control and Optimization
Author: Michael Hirsch
Publisher: Springer
Published: 2007-10-24
Total Pages: 426
ISBN-13: 3540743561
DOWNLOAD EBOOKAcross the globe, the past several years have seen a tremendous increase in the role of cooperative autonomous systems. The field of cooperative control and optimization has established itself as a part of many different scientific disciplines. The contents of this hugely important volume, which adds much to the debate on the subject, are culled from papers presented at the Seventh Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, in January 2007.
Mathematical Methods for Robust and Nonlinear Control
Author: Matthew C. Turner
Publisher: Springer Science & Business Media
Published: 2007-10-23
Total Pages: 444
ISBN-13: 1848000251
DOWNLOAD EBOOKThe underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.
Linear, Time-varying Approximations to Nonlinear Dynamical Systems
Author: Maria Tomas-Rodriguez
Publisher: Springer
Published: 2010-01-12
Total Pages: 303
ISBN-13: 1849961018
DOWNLOAD EBOOKLinear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems. This method is general and requires only very mild conditions on the system nonlinearities, setting it apart from other techniques such as those – well-known – based on differential geometry. The authors cover many aspects of nonlinear systems including stability theory, control design and extensions to distributed parameter systems. Many of the classical and modern control design methods which can be applied to linear, time-varying systems can be extended to nonlinear systems by this technique. The implementation of the control is therefore simple and can be done with well-established classical methods. Many aspects of nonlinear systems, such as spectral theory which is important for the generalisation of frequency domain methods, can be approached by this method.
Analysis and Synthesis of Dynamical Systems with Time-Delays
Author: Yuanqing Xia
Publisher: Springer
Published: 2009-10-06
Total Pages: 288
ISBN-13: 3642026966
DOWNLOAD EBOOKTime-delay occurs in many dynamical systems such as biological systems, chemical systems, metallurgical processing systems, nuclear reactor, long transmission lines in pneumatic, hydraulic systems and electrical networks. Especially, in recent years, time-delay which exists in networked control s- temshasbroughtmorecomplexproblemintoanewresearcharea.Frequently, itisasourceofthegenerationofoscillation,instabilityandpoorperformance. Considerable e?ort has been applied to di?erent aspects of linear time-delay systems during recent years. Because the introduction of the delay factor renders the system analysis more complicated, in addition to the di?culties caused by the perturbation or uncertainties, in the control of time-delay s- tems, the problems of robust stability and robust stabilization are of great importance. This book presents some basic theories of stability and stabilization of systems with time-delay, which are related to the main results in this book. More attention will be paid on synthesis of systems with time-delay. That is, sliding mode control of systems with time-delay; networked control systems with time-delay; networked data fusion with random delay.
Automotive Model Predictive Control
Author: Luigi Del Re
Publisher: Springer Science & Business Media
Published: 2010-03-11
Total Pages: 291
ISBN-13: 1849960704
DOWNLOAD EBOOKAutomotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.
Adaptive Backstepping Control of Uncertain Systems
Author: Jing Zhou
Publisher: Springer Science & Business Media
Published: 2008-02-07
Total Pages: 246
ISBN-13: 3540778063
DOWNLOAD EBOOKThis book employs the powerful and popular adaptive backstepping control technology to design controllers for dynamic uncertain systems with non-smooth nonlinearities. Various cases including systems with time-varying parameters, multi-inputs and multi-outputs, backlash, dead-zone, hysteresis and saturation are considered in design and analysis. For multi-inputs and multi-outputs systems, both centralized and decentralized controls are addressed. This book not only presents recent research results including theoretical success and practical development such as the proof of system stability and the improvement of system tracking and transient performance, but also gives self-contained coverage of fundamentals on the backstepping approach illustrated with simple examples. Detail description of methodologies for the construction of adaptive laws, feedback control laws and associated Lyapunov functions is systematically provided in each case. Approaches used for the analysis of system stability and tracking and transient performances are elaborated. Two case studies are presented to show how the presented theories are applied.
Recent Advances in Learning and Control
Author: Vincent D. Blondel
Publisher: Springer Science & Business Media
Published: 2008-01-11
Total Pages: 283
ISBN-13: 1848001541
DOWNLOAD EBOOKThis volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad that honored the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.
