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Author : Howard Kaufman
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (456 download)
Download or read book Stability analysis of predictive control systems written by Howard Kaufman and published by . This book was released on 1996 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guang Li
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (643 download)
Download or read book Robustness and Stability Analysis of Model Predictive Control written by Guang Li and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guang Li
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838350295
Total Pages : 172 pages
Book Rating : 4.3/5 (52 download)
Download or read book The Robustness and Stability Analysis of Model Predictive Control written by Guang Li and published by LAP Lambert Academic Publishing. This book was released on 2010-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph addresses the stability, robustness and performance analysis of Model Predictive Control (MPC) using absolute stability theory and an advanced robust control theory, called Integral Quadratic Constraints (IQC). The main problems of many existing analysis approaches for MPC systems are from the difficulty of explicitly incorporating the model uncertainties into the MPC formulations and the shortage of the efficient and systematic methods capable of implementing the stability, robustness and performance tests. The objective of this monograph is to cast the MPC system into a standard framework such that the abundant results in the classical nonlinear control and robust control theory can be utilized. This is realized by exploring the properties inherent in the MPC controller and representing the MPC controller by an operator with these properties in analysis. Within this general framework, two approaches are proposed: one is based on the IQC theory, the other is based on the absolute stability analysis of Lur e system.
Author : Howard Kaufman
Publisher :
ISBN 13 :
Total Pages : 74 pages
Book Rating : 4.E/5 ( download)
Download or read book Stability Analysis of Predictive Control Systems written by Howard Kaufman and published by . This book was released on 1966 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Guang Li
Publisher :
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4.:/5 (643 download)
Download or read book Robustness and Stability Analysis of Model Predictive Control written by Guang Li and published by . This book was released on 2006 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Francesco Borrelli
Publisher : Cambridge University Press
ISBN 13 : 1107016886
Total Pages : 447 pages
Book Rating : 4.1/5 (7 download)
Download or read book Predictive Control for Linear and Hybrid Systems written by Francesco Borrelli and published by Cambridge University Press. This book was released on 2017-06-22 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).
Author : Matthew Ellis
Publisher : Springer
ISBN 13 : 331941108X
Total Pages : 311 pages
Book Rating : 4.3/5 (194 download)
Download or read book Economic Model Predictive Control written by Matthew Ellis and published by Springer. This book was released on 2016-07-27 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.
Author : Frank Allgöwer
Publisher : Birkhäuser
ISBN 13 : 3034884079
Total Pages : 463 pages
Book Rating : 4.0/5 (348 download)
Download or read book Nonlinear Model Predictive Control written by Frank Allgöwer and published by Birkhäuser. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Marcus Reble
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832533818
Total Pages : 159 pages
Book Rating : 4.8/5 (325 download)
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 : Sergio Bittanti
Publisher : Springer Science & Business Media
ISBN 13 : 1848009100
Total Pages : 438 pages
Book Rating : 4.8/5 (48 download)
Download or read book Periodic Systems written by Sergio Bittanti and published by Springer Science & Business Media. This book was released on 2009 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive treatment of the theory of periodic systems, including the problems of filtering and control. It covers an array of topics, presenting an overview of the field and focusing on discrete-time signals and systems.
Author : Jinfeng Liu
Publisher : MDPI
ISBN 13 : 303897420X
Total Pages : 231 pages
Book Rating : 4.0/5 (389 download)
Download or read book New Directions on Model Predictive Control written by Jinfeng Liu and published by MDPI. This book was released on 2019-01-16 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "New Directions on Model Predictive Control" that was published in Mathematics
Author : Alex Zheng
Publisher :
ISBN 13 :
Total Pages : 13 pages
Book Rating : 4.:/5 (391 download)
Download or read book Robust Stability Analysis of Constrained Model Predictive Control written by Alex Zheng and published by . This book was released on 1997 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Francesco Borrelli
Publisher : Cambridge University Press
ISBN 13 : 1108158293
Total Pages : 447 pages
Book Rating : 4.1/5 (81 download)
Download or read book Predictive Control for Linear and Hybrid Systems written by Francesco Borrelli and published by Cambridge University Press. This book was released on 2017-06-22 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.
Author : Weicun Zhang
Publisher : Springer Nature
ISBN 13 : 9811555389
Total Pages : 173 pages
Book Rating : 4.8/5 (115 download)
Download or read book Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems written by Weicun Zhang and published by Springer Nature. This book was released on 2020-06-05 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts forward the concept of a virtual equivalent system (VES) based on theoretical analysis and simulation results. The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning control (STC) systems, and potentially, of all adaptive control systems. The book then shows that a time-varying STC system can be converted into a time-invariant system using a certain nonlinear compensation signal, which reduces the complexity and difficulty of stability and convergence analysis. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based fuzzy control systems.
Author : Seyed Kamaleddin Yadavar Nikravesh
Publisher : CRC Press
ISBN 13 : 1351831887
Total Pages : 323 pages
Book Rating : 4.3/5 (518 download)
Download or read book Nonlinear Systems Stability Analysis written by Seyed Kamaleddin Yadavar Nikravesh and published by CRC Press. This book was released on 2018-09-03 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The equations used to describe dynamic properties of physical systems are often nonlinear, and it is rarely possible to find their solutions. Although numerical solutions are impractical and graphical techniques are not useful for many types of systems, there are different theorems and methods that are useful regarding qualitative properties of nonlinear systems and their solutions—system stability being the most crucial property. Without stability, a system will not have value. Nonlinear Systems Stability Analysis: Lyapunov-Based Approach introduces advanced tools for stability analysis of nonlinear systems. It presents the most recent progress in stability analysis and provides a complete review of the dynamic systems stability analysis methods using Lyapunov approaches. The author discusses standard stability techniques, highlighting their shortcomings, and also describes recent developments in stability analysis that can improve applicability of the standard methods. The text covers mostly new topics such as stability of homogonous nonlinear systems and higher order Lyapunov functions derivatives for stability analysis. It also addresses special classes of nonlinear systems including time-delayed and fuzzy systems. Presenting new methods, this book provides a nearly complete set of methods for constructing Lyapunov functions in both autonomous and nonautonomous systems, touching on new topics that open up novel research possibilities. Gathering a body of research into one volume, this text offers information to help engineers design stable systems using practice-oriented methods and can be used for graduate courses in a range of engineering disciplines.
Author : James Blake Rawlings
Publisher :
ISBN 13 : 9780975937754
Total Pages : 770 pages
Book Rating : 4.9/5 (377 download)
Download or read book Model Predictive Control written by James Blake Rawlings and published by . This book was released on 2017 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hua Ouyang
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838358390
Total Pages : 164 pages
Book Rating : 4.3/5 (583 download)
Download or read book Networked Predictive Control Systems written by Hua Ouyang and published by LAP Lambert Academic Publishing. This book was released on 2010-05 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked predictive control is a new research method for networked control systems, which can handle network-induced problems such as time-delays, data dropouts, packets disorders, etc. and stabilise the networked control systems. This work has extensively studied the following problems: robust control of networked predictive linear control systems, control scheme for networked nonlinear control systems and robust control of networked nonlinear control systems. This work provides a theoretical framework for stability analysis and robust controller synthesis for networked predictive control systems. In this work, both time-driven and event-driven predictive controllers are used to stabilise the networked predictive control systems.
