Model Reference Adaptive Control For Multi Input Multi Output Systems PDF Download
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Author | : Kenneth M. Sobel |
Publisher | : |
Total Pages | : 218 |
Release | : 1980 |
Genre | : Automatic control |
ISBN | : |
Download Model Reference Adaptive Control for Multi-input Multi-output Systems Book in PDF, ePub and Kindle
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 | : Paul Nelson Cowgill |
Publisher | : |
Total Pages | : 168 |
Release | : 1968 |
Genre | : Automatic control |
ISBN | : |
Download Design-approach Evaluation of Multiple-input, Model-reference, Adaptive Control Systems Book in PDF, ePub and Kindle
The model-reference, adaptive control concept is based on the precept that desired control system performance is a known design requirement and can be obtained from a representative model. Control system parameters are adjusted by the adaptive controller through a minimizing operation on a function of the error (i.e., performance index) between control system and model response characteristics. By minimizing the performance index, the control system response characteristics will track those of the model. This thesis presents a unified review of model-reference, adaptive control system design and analysis techniques and a method for analytically determining adaptive control loop sensitivity to multiple forcing functions. The design and analysis techniques presented encompass design approach variations (i.e., configuration deviations) and solutions to commonly encountered application problems. The multiple forcing functions considered consist of reference and disturbance inputs. The forcing function sensitivity of two adaptive controller configurations is analytically derived and compared for single and simultaneous, sinusoidal inputs. Frequency-domain analysis techniques are thereby extended for application to these two particular configurations of nonlinear systems.
Author | : Wei Su |
Publisher | : |
Total Pages | : 492 |
Release | : 1992 |
Genre | : Adaptive control systems |
ISBN | : |
Download The Command Generator Tracker Approach to Model Reference Adaptive Control of Multi-input Multi-output Plants Book in PDF, ePub and Kindle
Author | : Hans Butler |
Publisher | : |
Total Pages | : 296 |
Release | : 1992 |
Genre | : Technology & Engineering |
ISBN | : |
Download Model Reference Adaptive Control Book in PDF, ePub and Kindle
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.
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 | : C.T. Leonides |
Publisher | : Elsevier |
Total Pages | : 373 |
Release | : 2012-12-02 |
Genre | : Technology & Engineering |
ISBN | : 0323162746 |
Download Control and Dynamic Systems V24 Book in PDF, ePub and Kindle
Control and Dynamic Systems: Advances in Theory and Application, Volume 24: Decentralized/Distributed Control and Dynamic Systems, Part 3 of 3 is the third volume of a trilogy that deals with advances in techniques for the analysis and synthesis of decentralized or distributed control and dynamic systems. It also includes articles on many computational issues and techniques. This volume discusses parameter estimation or determination in large-scale systems; use of system zeros in the decentralized control of large-scale systems; and model reference adaptive control for multiple-input multiple-output (MIMO) systems. The final chapters present some simplified but highly effective and powerful control techniques for decentralized but coordinated control systems. This book is a valuable reference for practitioners in many important applied situations.
Author | : Lawrence E. Mabius |
Publisher | : |
Total Pages | : 147 |
Release | : 1976 |
Genre | : |
ISBN | : |
Download An Implicitly Adaptive Model Reference Control Design for Linear Multi-input Multi-output Systems Book in PDF, ePub and Kindle
Author | : Kassem Ahmed Riad |
Publisher | : |
Total Pages | : 178 |
Release | : 1978 |
Genre | : Adaptive control systems |
ISBN | : |
Download Design of Signal Synthesis Model Reference Adaptive Control Systems for Linear and Nonlinear Unknown Plants Book in PDF, ePub and Kindle
Author | : Howard Kaufman |
Publisher | : Springer Science & Business Media |
Total Pages | : 380 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 146840217X |
Download Direct Adaptive Control Algorithms: Book in PDF, ePub and Kindle
Suitable either as a reference or as a text for a graduate course in adaptive control systems, this book is a self-contained compendium of easily implementable adaptive control algorithms that have been developed and applied by the authors for over 10 years. These algorithms do not require explicit process parameter identification and have been successfully applied to a wide variety of engineering problems including flexible structure control, blood pressure control and robotics. In general, these algorithms are suitable for a wide class of multiple input-output control systems containing significant uncertainty as well as disturbances.