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Design And Simulation Of A Model Reference Adaptive Control Using Lyapunov Theory
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Book Synopsis Design and Simulation of a Model Reference Adaptive Control Using Lyapunov Theory by : Maryam Abdollahi
Download or read book Design and Simulation of a Model Reference Adaptive Control Using Lyapunov Theory written by Maryam Abdollahi and published by . This book was released on 2012 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this paper, design of the model reference adaptive control is explained and a simulation of the method is presented. This method is a type of adaptive control systems and is used to solve some type of problems in relation to the plants whose performance specifications are given in terms of the reference model." -- p. i
Book Synopsis Model-Reference Adaptive Control by : Nhan T. Nguyen
Download or read book Model-Reference Adaptive Control written by Nhan T. Nguyen and published by Springer. This book was released on 2018-03-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.
Book Synopsis Lyapunov Design of a New Model-reference Adaptive Control System by : Alexandros John Ampsefidis
Download or read book Lyapunov Design of a New Model-reference Adaptive Control System written by Alexandros John Ampsefidis and published by . This book was released on 1990 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Control Tutorial by : Petros Ioannou
Download or read book Adaptive Control Tutorial written by Petros Ioannou and published by SIAM. This book was released on 2006-01-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigor, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes without having to fully understand the analytical and technical proofs; graduate students who, in addition to attaining the aforementioned objectives, also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics. The authors achieve these multiple objectives by enriching the book with examples demonstrating the design procedures and basic analysis steps and by detailing their proofs in both an appendix and electronically available supplementary material; online examples are also available. A solution manual for instructors can be obtained by contacting SIAM or the authors. Preface; Acknowledgements; List of Acronyms; Chapter 1: Introduction; Chapter 2: Parametric Models; Chapter 3: Parameter Identification: Continuous Time; Chapter 4: Parameter Identification: Discrete Time; Chapter 5: Continuous-Time Model Reference Adaptive Control; Chapter 6: Continuous-Time Adaptive Pole Placement Control; Chapter 7: Adaptive Control for Discrete-Time Systems; Chapter 8: Adaptive Control of Nonlinear Systems; Appendix; Bibliography; Index
Book Synopsis Robust and Adaptive Control by : Eugene Lavretsky
Download or read book Robust and Adaptive Control written by Eugene Lavretsky and published by Springer Science & Business Media. This book was released on 2012-11-13 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.
Book Synopsis Adaptive Control for Robotic Manipulators by : Dan Zhang
Download or read book Adaptive Control for Robotic Manipulators written by Dan Zhang and published by CRC Press. This book was released on 2017-02-03 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and introduce the state-of-the-art technologies in the field of adaptive control of robotic manipulators in order to improve the methodologies on the adaptive control of robotic manipulators. Advances made in the past decades are described in the book, including adaptive control theories and design, and application of adaptive control to robotic manipulators.
Book Synopsis Robust and Adaptive Control by : Eugene Lavretsky
Download or read book Robust and Adaptive Control written by Eugene Lavretsky and published by Springer Nature. This book was released on 2023 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: Robust and Adaptive Control (second edition) shows readers how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications, the focus of the book is primarily on continuous-time dynamical systems. The two-part text begins with robust and optimal linear control methods and moves on to a self-contained presentation of the design and analysis of model reference adaptive control for nonlinear uncertain dynamical systems. Features of the second edition include: sufficient conditions for closed-loop stability under output feedback observer-based loop-transfer recovery (OBLTR) with adaptive augmentation; OBLTR applications to aerospace systems; case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; realistic examples and simulation data illustrating key features of the methods described; and problem solutions for instructors and MATLAB® code provided electronically. The theory and practical applications address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles drawn from the authors' extensive professional experience with The Boeing Company. The systems covered are challenging--often open-loop unstable with uncertainties in their dynamics--and thus require both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers should have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. The second edition contains a background summary of linear systems and control systems and an introduction to state observers and output feedback control, helping to make it self-contained. Robust and Adaptive Control teaches senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value
Book Synopsis Adaptive Control by : Karl J. Åström
Download or read book Adaptive Control written by Karl J. Åström and published by Courier Corporation. This book was released on 2013-04-26 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control, with emphasis on deterministic and stochastic viewpoints. 1995 edition.
Book Synopsis Model Reference Adaptive Control by : Hans Butler
Download or read book Model Reference Adaptive Control written by Hans Butler and published by . This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work, aiming to bring adaptive control theory closer to practice, offers explanations rather than theory, and draws upon several laboratory experiments for emphasis. The first part of the book covers established subjects and the second covers solutions to some problems.
Book Synopsis Design of Signal Synthesis Model Reference Adaptive Control Systems for Linear and Nonlinear Unknown Plants by : Kassem Ahmed Riad
Download or read book Design of Signal Synthesis Model Reference Adaptive Control Systems for Linear and Nonlinear Unknown Plants written by Kassem Ahmed Riad and published by . This book was released on 1978 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Adaptive Control by : Petros Ioannou
Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.
Book Synopsis An Identifier-tracking Based Model Reference Adaptive Control Without the Knowledge of Relative Degree by : Xiao Hu
Download or read book An Identifier-tracking Based Model Reference Adaptive Control Without the Knowledge of Relative Degree written by Xiao Hu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of Model Reference Adaptive Control (MRAC) is to create a controller with adjustable parameters to obtain the desired response from a reference model. One of the basic assumptions in MRAC is that the relative degree of the plant is known exactly. However, this assumption is too restrictive for some practical plants, since the relative degree of the plant may not be specified in advance. The study of MRAC with unknown relative degree has been important from both theoretical and practical point of view. This dissertation focuses on a new design approach for the model reference adaptive control of a single-input single-output linear time-invariant plant to relax this crucial assumption. The proposed method, called the "Model reference adaptive control without the knowledge of relative degree", does not require the knowledge of relative degree of the plant. This is achieved by the specific structure of reparameterization for control plant. The n-th order plant with unknown relative degree can have one identical structure for different relative degrees by employing the new method of reparameterization. For this reason, the structure of proposed model reference adaptive controller does not change, even if the unknown relative degree varies from 1 to n. The proposed method is based on a stacked identifier structure. The goal is to make the output of the plant asymptotically track the output of the first identifier, and then driving the output of the first identifier to track that of the second identifier, and so forth, up to the n-th identifier where n is the order of the plant. Lastly, the output of the n-th identifier is forced to converge to the desired response of the reference model. This new MRAC scheme guarantees the signal boundness and zero tracking error. All the parameter update laws are derived based on Lyapunov stability theory. Simulation studies are illustrated to show the effectiveness of the proposed method.
Book Synopsis Adaptive Robust Control Systems by : Anh Tuan Le
Download or read book Adaptive Robust Control Systems written by Anh Tuan Le and published by BoD – Books on Demand. This book was released on 2018-03-07 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines.
Book Synopsis Switching in Systems and Control by : Daniel Liberzon
Download or read book Switching in Systems and Control written by Daniel Liberzon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of switched systems is related to the study of hybrid systems, which has gained attention from control theorists, computer scientists, and practicing engineers. This book examines switched systems from a control-theoretic perspective, focusing on stability analysis and control synthesis of systems that combine continuous dynamics with switching events. It includes a vast bibliography and a section of technical and historical notes.
Author :Madan M. Gupta Publisher :New York : Institute of Electrical and Electronics Engineers ISBN 13 : Total Pages :494 pages Book Rating :4.3/5 (97 download)
Book Synopsis Adaptive Methods for Control System Design by : Madan M. Gupta
Download or read book Adaptive Methods for Control System Design written by Madan M. Gupta and published by New York : Institute of Electrical and Electronics Engineers. This book was released on 1986 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Control by : Karl Johan Åström
Download or read book Adaptive Control written by Karl Johan Åström and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is adaptive control? Why adaptive control? Real-time parameter estimation. Model-reference adaptive systems. Self-tuning regulators. Stability, convergence, and robustness. Stochastic adaptive control. Auto-tuning. Gain scheduling. Alternatives to adaptive control. Practical aspects and implementation. Applications. Perspectives on adaptive control. Regulator design. Positive real transfer functions.
Book Synopsis Adaptive and Learning Systems by : Kumpati S. Narendra
Download or read book Adaptive and Learning Systems written by Kumpati S. Narendra and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a glimpse of the status of research in adaptive and learning systems in 1985. In recent years these areas have spawned a multiplicity of ideas so rapidly that the average research worker or practicing engineer is overwhelmed by the flood of information. The Yale Workshop on Applications of Adaptive Systems Theory was organized in 1979 to provide a brief respite from this deluge, wherein critical issues may be examined in a calm and collegial environment. The fourth of the series having been held in May 1985, it has now become well established as a biennial forum for the lively exchange of ideas in the ever changing domain of adaptive systems. The scope of this book is broad and ranges from theoretical investigations to practical applications. It includes twenty eight papers by leaders in the field, selected from the Pro ceedings of the Fourth Yale Workshop and divided into five sections. I have provided a brief introduction to each section so that it can be read as a self-contained unit. The first section, devoted to adaptive control theory, suggests the intensity of activity in the field and reveals signs of convergence towards some common themes by workers with rather different moti vation. Preliminary results concerning the reduced order model problem are dramatically changing the way we view the field and bringing it closer to other areas such as robust linear control where major advances have been recently reported.
