Model Reference Adaptive Control For Multi Input Multi Output Systems
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Model Reference Adaptive Control For Multi Input Multi Output Systems
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Author : Kenneth M. Sobel
language : en
Publisher:
Release Date : 1980
Model Reference Adaptive Control For Multi Input Multi Output Systems written by Kenneth M. Sobel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Automatic control categories.
Model Reference Adaptive Control
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Author : Nhan T. Nguyen
language : en
Publisher: Springer
Release Date : 2018-03-01
Model Reference Adaptive Control written by Nhan T. Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-01 with Technology & Engineering categories.
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.
The Command Generator Tracker Approach To Model Reference Adaptive Control Of Multi Input Multi Output Plants
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Author : Wei Su
language : en
Publisher:
Release Date : 1992
The Command Generator Tracker Approach To Model Reference Adaptive Control Of Multi Input Multi Output Plants written by Wei Su and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Adaptive control systems categories.
Design Approach Evaluation Of Multiple Input Model Reference Adaptive Control Systems
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Author : Paul Nelson Cowgill
language : en
Publisher:
Release Date : 1968
Design Approach Evaluation Of Multiple Input Model Reference Adaptive Control Systems written by Paul Nelson Cowgill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Automatic control categories.
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.
Direct Adaptive Control Algorithms
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Author : Howard Kaufman
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Direct Adaptive Control Algorithms written by Howard Kaufman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
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.
Control And Dynamic Systems V24
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Author : C.T. Leonides
language : en
Publisher: Elsevier
Release Date : 2012-12-02
Control And Dynamic Systems V24 written by C.T. Leonides and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.
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.
An Implicitly Adaptive Model Reference Control Design For Linear Multi Input Multi Output Systems
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Author : Lawrence E. Mabius
language : en
Publisher:
Release Date : 1976
An Implicitly Adaptive Model Reference Control Design For Linear Multi Input Multi Output Systems written by Lawrence E. Mabius and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with categories.
Design Of Signal Synthesis Model Reference Adaptive Control Systems For Linear And Nonlinear Unknown Plants
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Author : Kassem Ahmed Riad
language : en
Publisher:
Release Date : 1978
Design Of Signal Synthesis Model Reference Adaptive Control Systems For Linear And Nonlinear Unknown Plants written by Kassem Ahmed Riad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Adaptive control systems categories.
Development Of Model Reference Adaptive Control Theory For Electric Power Plant Control Applications
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Author :
language : en
Publisher:
Release Date : 1982
Development Of Model Reference Adaptive Control Theory For Electric Power Plant Control Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.
The scope of this effort includes the theoretical development of a multi-input, multi-output (MIMO) Model Reference Control (MRC) algorithm, (i.e., model following control law), Model Reference Adaptive Control (MRAC) algorithm and the formulation of a nonlinear model of a typical electric power plant. Previous single-input, single-output MRAC algorithm designs have been generalized to MIMO MRAC designs using the MIMO MRC algorithm. This MRC algorithm, which has been developed using Command Generator Tracker methodologies, represents the steady state behavior (in the adaptive sense) of the MRAC algorithm. The MRC algorithm is a fundamental component in the MRAC design and stability analysis. An enhanced MRC algorithm, which has been developed for systems with more controls than regulated outputs, alleviates the MRC stability constraint of stable plant transmission zeroes. The nonlinear power plant model is based on the Cromby model with the addition of a governor valve management algorithm, turbine dynamics and turbine interactions with extraction flows. An application of the MRC algorithm to a linearization of this model demonstrates its applicability to power plant systems. In particular, the generated power changes at 7% per minute while throttle pressure and temperature, reheat temperature and drum level are held constant with a reasonable level of control. The enhanced algorithm reduces significantly control fluctuations without modifying the output response.
Adaptive Control Design And Analysis
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Author : Gang Tao
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-09
Adaptive Control Design And Analysis written by Gang Tao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-09 with Science categories.
A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.