Stabilization Of Nonlinear Systems Using Receding Horizon Control Schemes

Author : Mazen Alamir
Publisher : Springer
ISBN 13 : 1846284716
Total Pages : 308 pages
Book Rating : 4.17/5 ( download)

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Download or read book Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes written by Mazen Alamir and published by Springer. This book was released on 2006-09-29 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of relatively fast systems. This book presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. It also provides research showing how generic predictive control schemes can be extended from slow process-based systems to a variety of fast systems.

Author : Huiping Li
Publisher : Springer
ISBN 13 : 3319482904
Total Pages : 194 pages
Book Rating : 4.03/5 ( download)

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Download or read book Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems written by Huiping Li and published by Springer. This book was released on 2016-10-22 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems and which can be widely applied. These receding-horizon-control-based strategies can achieve sub-optimal control performance while ensuring closed-loop stability: a feature attractive to engineers. The authors address the problems of networked and distributed control step-by-step, gradually increasing the level of challenge presented. The book first introduces the state-feedback control problems of nonlinear networked systems and then studies output feedback control problems. For large-scale nonlinear systems, disturbance is considered first, then communication delay separately, and lastly the simultaneous combination of delays and disturbances. Each chapter of this easy-to-follow book not only proposes and analyzes novel control algorithms and/or strategies, but also rigorously develops provably correct design conditions. It also provides concise, illustrative examples to demonstrate the implementation procedure, making it invaluable both for academic researchers and engineering practitioners.

Author : Gildas Besançon
Publisher : Springer
ISBN 13 : 3540735038
Total Pages : 224 pages
Book Rating : 4.38/5 ( download)

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Download or read book Nonlinear Observers and Applications written by Gildas Besançon and published by Springer. This book was released on 2007-10-11 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this fantastically useful book is to lay out an overview on possible tools for state reconstruction in nonlinear systems. Here, basic observability notions and observer structures are recalled, together with ingredients for advanced designs on this basis. The problem of state reconstruction in dynamical systems, known as observer problem, is crucial for controlling or even merely monitoring processes. For linear systems, the theory has been well established for several years, so this book attempts to tackle the problem for non-linear systems.

Author : D. Q. Mayne
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.39/5 ( download)

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Download or read book An Implementable Receding Horizon Controller for Stabilization of Nonlinear Systems written by D. Q. Mayne and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Lars Grüne
Publisher : Springer
ISBN 13 : 3319460242
Total Pages : 456 pages
Book Rating : 4.46/5 ( download)

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Download or read book Nonlinear Model Predictive Control written by Lars Grüne and published by Springer. This book was released on 2016-11-09 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.

Author : Marcus Reble
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832533818
Total Pages : 159 pages
Book Rating : 4.16/5 ( download)

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Download or read book Model Predictive Control for Nonlinear Continuous-Time Systems with and Without Time-Delays written by Marcus Reble and published by Logos Verlag Berlin GmbH. This book was released on 2013 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this thesis is the development of novel model predictive control (MPC) schemes for nonlinear continuous-time systems with and without time-delays in the states which guarantee asymptotic stability of the closed-loop. The most well-studied MPC approaches with guaranteed stability use a control Lyapunov function as terminal cost. Since the actual calculation of such a function can be difficult, it is desirable to replace this assumption by a less restrictive controllability assumption. For discrete-time systems, the latter assumption has been used in the literature for the stability analysis of so-called unconstrained MPC, i.e., MPC without terminal cost and terminal constraints. The contributions of this thesis are twofold. In the first part, we propose novel MPC schemes with guaranteed stability based on a controllability assumption, whereas we extend different MPC schemes with guaranteed stability to nonlinear time-delay systems in the second part. In the first part of this thesis, we derive explicit stability conditions on the prediction horizon as well as performance guarantees for unconstrained MPC. Starting from this result, we propose novel alternative MPC formulations based on combinations of the controllability assumption with terminal cost and terminal constraints. One of the main contributions is the development of a unifying MPC framework which allows to consider both MPC schemes with terminal cost and terminal constraints as well as unconstrained MPC as limit cases of our framework. In the second part of this thesis, we show that several MPC schemes with and without terminal constraints can be extended to nonlinear time-delay systems. Due to the infinite-dimensional nature of these systems, the problem is more involved and additional assumptions are required in the controller design. We investigate different MPC schemes with and without terminal constraints and/or terminal cost terms and derive novel stability conditions. Furthermore, we pay particular attention to the calculation of the involved control design parameters.

Author : Magnus Fontes
Publisher : Springer
ISBN 13 : 3319053655
Total Pages : 458 pages
Book Rating : 4.53/5 ( download)

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Download or read book Progress in Industrial Mathematics at ECMI 2012 written by Magnus Fontes and published by Springer. This book was released on 2014-05-14 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range of applications and methods, from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leading figures in business, science and academia that promote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as being a catalyst for innovation as well as an overarching resource for industry and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers and scientists who will help them to solve similar problems and offers modeling and simulation techniques that will provide mathematicians with a source of fresh ideas and inspiration.

Author : H. Michalska
Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.86/5 ( download)

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Download or read book Implementable Receding Horizon Control of Constrained Nonlinear Systems written by H. Michalska and published by . This book was released on 1990 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Michael Hirsch
Publisher : Springer Science & Business Media
ISBN 13 : 3540880623
Total Pages : 456 pages
Book Rating : 4.22/5 ( download)

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Download or read book Optimization and Cooperative Control Strategies written by Michael Hirsch and published by Springer Science & Business Media. This book was released on 2009-01-17 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative, 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.

Author : Luigi Del Re
Publisher : Springer
ISBN 13 : 1849960712
Total Pages : 291 pages
Book Rating : 4.17/5 ( download)

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Download or read book Automotive Model Predictive Control written by Luigi Del Re and published by Springer. This book was released on 2010-03-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automotive 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.