Robust Adaptive Control PDF Download
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Author | : Petros Ioannou |
Publisher | : Courier Corporation |
Total Pages | : 850 |
Release | : 2013-09-26 |
Genre | : Technology & Engineering |
ISBN | : 0486320723 |
Download Robust Adaptive Control Book in PDF, ePub and Kindle
This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
Author | : Eugene Lavretsky |
Publisher | : Springer Nature |
Total Pages | : 718 |
Release | : |
Genre | : |
ISBN | : 3031383141 |
Download Robust and Adaptive Control Book in PDF, ePub and Kindle
Author | : Shankar Sastry |
Publisher | : Courier Corporation |
Total Pages | : 402 |
Release | : 2011-01-01 |
Genre | : Technology & Engineering |
ISBN | : 0486482022 |
Download Adaptive Control Book in PDF, ePub and Kindle
This volume surveys the major results and techniques of analysis in the field of adaptive control. Focusing on linear, continuous time, single-input, single-output systems, the authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development. 1989 edition.
Author | : Anh Tuan Le |
Publisher | : BoD – Books on Demand |
Total Pages | : 364 |
Release | : 2018-03-07 |
Genre | : Technology & Engineering |
ISBN | : 9535137964 |
Download Adaptive Robust Control Systems Book in PDF, ePub and Kindle
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.
Author | : Spandan Roy |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2019-10-18 |
Genre | : Technology & Engineering |
ISBN | : 9789811506390 |
Download Adaptive-Robust Control with Limited Knowledge on Systems Dynamics Book in PDF, ePub and Kindle
The book investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data. The book offers a unique resource for researchers in the areas of ARC and TDC alike, and covers the state of the art, new algorithms, and future directions.
Author | : Petros Ioannou |
Publisher | : SIAM |
Total Pages | : 401 |
Release | : 2006-01-01 |
Genre | : Mathematics |
ISBN | : 0898716152 |
Download Adaptive Control Tutorial Book in PDF, ePub and Kindle
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
Author | : Nhan T. Nguyen |
Publisher | : Springer |
Total Pages | : 453 |
Release | : 2018-03-01 |
Genre | : Technology & Engineering |
ISBN | : 3319563939 |
Download Model-Reference Adaptive Control Book in PDF, ePub and Kindle
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.
Author | : Alessandro Astolfi |
Publisher | : Springer Science & Business Media |
Total Pages | : 302 |
Release | : 2007-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1848000669 |
Download Nonlinear and Adaptive Control with Applications Book in PDF, ePub and Kindle
The authors here provide a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. They employ a new tool based on the ideas of system immersion and manifold invariance. New algorithms are delivered for the construction of robust asymptotically-stabilizing and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes that are easier to tune than their counterparts obtained from Lyapunov redesign.
Author | : Uwe Mackenroth |
Publisher | : Springer Science & Business Media |
Total Pages | : 524 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 3662097753 |
Download Robust Control Systems Book in PDF, ePub and Kindle
Self-contained introduction to control theory that emphasizes on the most modern designs for high performance and robustness. It assumes no previous coursework and offers three chapters of key topics summarizing classical control. To provide readers with a deeper understanding of robust control theory than would be otherwise possible, the text incorporates mathematical derivations and proofs. Includes many elementary examples and advanced case studies using MATLAB Toolboxes.
Author | : Aniruddha Datta |
Publisher | : Springer Science & Business Media |
Total Pages | : 166 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 0857293311 |
Download Adaptive Internal Model Control Book in PDF, ePub and Kindle
Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for verifying some of the reported industrial successes of existing adaptive control schemes and enables readers to synthesize adaptive versions of their own robust internal model control schemes.