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Receding Horizon Control

Author: Wook Hyun Kwon

Publisher: Springer Science & Business Media

Published: 2005-10-04

Total Pages: 388

ISBN-13: 1846280176

Easy-to-follow learning structure makes absorption of advanced material as pain-free as possible Introduces complete theories for stability and cost monotonicity for constrained and non-linear systems as well as for linear systems In co-ordination with MATLAB® files available from springeronline.com, exercises and examples give the student more practice in the predictive control and filtering techniques presented

Receding Horizon Control

Author: Wook Hyun Kwon

Publisher: Springer Science & Business Media

Published: 2005-06-29

Total Pages: 406

ISBN-13: 9781846280245

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Receding Horizon Control

Author: Wook Hyun Kwon

Publisher: Springer

Published: 2009-10-12

Total Pages: 380

ISBN-13: 9781848004108

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Field and Service Robotics

Author: Alonzo Kelly

Publisher: Springer Science & Business Media

Published: 2010-06-28

Total Pages: 497

ISBN-13: 3642134076

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Robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into human en- ronments and vigorously engaged in its new challenges. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. Beyond its impact on physical robots, the body of knowledge robotics has p- duced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neuros- ences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the int- section of disciplines that the most striking advances happen. The Springer Tracts in Advanced Robotics (STAR) is devoted to bringing to the research community the latest advances in the robotics field on the basis of their significance and quality. Through a wide and timely dissemination of critical - search developments in robotics, our objective with this series is to promote more exchanges and collaborations among the researchers in the community and c- tribute to further advancements in this rapidly growing field.

Theory and Algorithms for Cooperative Systems

Author: Don Grundel

Publisher: World Scientific

Published: 2004-08-23

Total Pages: 604

ISBN-13: 9814481947

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Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve — while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003. This book has been selected for coverage in: • Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings) • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) • CC Proceedings — Engineering & Physical Sciences Contents:Mesh Stability in Formation of Distributed Systems (C Ashokkumar et al.)On the Performance of Heuristics for Broadcast Scheduling (C Commander et al.)Coupled Detection Rates: An Introduction (D Jeffcoat)Decentralized Receding Horizon Control for Multiple UAVs (Y Kuwata & J How)Multitarget Sensor Management of Dispersed Mobile Sensors (R Mahler)K-Means Clustering Using Entropy Minimization (A Okafor & P Pardalos)Possibility Reasoning and the Cooperative Prisoner's Dilemma (H Pfister & J Walls)Coordinating Very Large Groups of Wide Area Search Munitions (P Scerri et al.)A Vehicle Following Methodology for UAV Formations (S Spry et al.)Decentralized Optimization via Nash Bargaining (S Waslander et al.)and other papers Readership: Graduate students and researchers in optimization and control, computer science and engineering. Keywords:Cooperative Systems, Cooperative Control;Optimization;Cooperative NetworksKey Features:25 chapters of creative approaches to modeling, analysis, and synthesis of cooperative systemsResearch results from top researchers in the field of cooperative systemsExciting insights to cooperative systems which have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making

Nonlinear Model Predictive Control

Author: Frank Allgöwer

Publisher: Birkhäuser

Published: 2012-12-06

Total Pages: 463

ISBN-13: 3034884079

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During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland. The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Handbook of Model Predictive Control

Author: Saša V. Raković

Publisher: Springer

Published: 2018-09-01

Total Pages: 692

ISBN-13: 3319774891

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Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.

Model Predictive Control in the Process Industry

Author: Eduardo F. Camacho

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 250

ISBN-13: 1447130081

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Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Predictive Control for Linear and Hybrid Systems

Author: Francesco Borrelli

Publisher: Cambridge University Press

Published: 2017-06-22

Total Pages: 447

ISBN-13: 1107016886

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With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Networked Control Systems

Author: Alberto Bemporad

Publisher: Springer Science & Business Media

Published: 2010-10-14

Total Pages: 373

ISBN-13: 0857290320

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This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all the aspects of networked control systems, it was a small step to go from the summer school to the book, certainly given the enthusiasm of the lecturers at the school. We felt that a book collecting overviewson the important developmentsand open pr- lems in the eld of networked control systems could stimulate and support future research in this appealing area. Given the tremendouscurrentinterests in distributed control exploiting wired and wireless communication networks, the time seemed to be right for the book that lies now in front of you. The goal of the book is to set out the core techniques and tools that are ava- able for the modeling, analysis and design of networked control systems. Roughly speaking, the book consists of three parts. The rst part presents architectures for distributed control systems and models of wired and wireless communication n- works. In particular, in the rst chapter important technological and architectural aspects on distributed control systems are discussed. The second chapter provides insight in the behavior of communication channels in terms of delays, packet loss and information constraints leading to suitable modeling paradigms for commu- cation networks.