Design Approach Evaluation Of Multiple Input Model Reference Adaptive Control Systems
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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.
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.
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.
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.
Systematic Adaptive Control Design Using Sequential Loop Closure
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Author : Daniel Philip Wiese
language : en
Publisher:
Release Date : 2016
Systematic Adaptive Control Design Using Sequential Loop Closure written by Daniel Philip Wiese and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This thesis presents a new, systematic method of synthesizing an output feedback adaptive controller for a class of uncertain, non-square multi-input/multi-output systems. The control design process consists of first designing an inner-loop controller for a reduced order plant model to enforce command tracking of selected inner-loop variables, with an adaptive element used to accommodate parametric uncertainties in the plant. Once this inner-loop control design is complete, an outer-loop is then designed which prescribes the inner-loop commands to enforce command tracking of selected outer-loop variables. The main challenge that needs to be addressed when designing the inner-loop controller is the determination of a corresponding square and strictly positive real transfer function. The first contribution of this thesis is the design of a new procedure to synthesize two gain matrices that allow the realization of such a transfer function, thereby allowing a globally stable adaptive output feedback law to be generated. The unique features of this output feedback adaptive controller are a baseline controller that uses a Luenberger observer, a closed-loop reference model, manipulations of a bilinear matrix inequality, and the Kalman- Yakubovich lemma. Using these features, a simple design procedure is proposed for the adaptive controller, and the corresponding stability property is established. The outer-loop controller is designed around the plant with existing adaptive inner-loop controller such that global stability of the closed-loop system is guaranteed. The design of the outer-loop uses components of a closed-loop reference model in a judicious manner which enables a modular approach, without any re-design of the inner-loop controller. In addition, this architecture facilitates the use of an additional state-limiter to enforce desired limits on the state variables. A numerical example based on a scramjet powered, generic hypersonic vehicle model is presented, demonstrating the efficacy of the proposed control design. The six-degree-of-freedom nonlinear vehicle model is linearized, giving the design model for which the controller is synthesized. The adaptive output feedback controller is then applied to an evaluation model, which is nonlinear, coupled, and includes actuator dynamics, and it is shown to result in stable tracking in the presence of uncertainties that destabilize the baseline controller. Benefits of various aspects of the sequential and modular control design as well as its adaptive components are clearly illustrated in this numerical example.
Adaptive Methods For Control System Design
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Author : Madan M. Gupta
language : en
Publisher: New York : Institute of Electrical and Electronics Engineers
Release Date : 1986
Adaptive Methods For Control System Design written by Madan M. Gupta and has been published by New York : Institute of Electrical and Electronics Engineers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Technology & Engineering categories.
Fuzzy Neural Intelligent Systems
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Author : Hongxing Li
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Fuzzy Neural Intelligent Systems written by Hongxing Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Computers categories.
Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications: Fundamental concepts and theories for fuzzy systems and neural networks. Foundation for fuzzy neural networks and important related topics Case examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systems Suitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.
Undergraduate Announcement
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Author : University of Michigan--Dearborn
language : en
Publisher:
Release Date : 2003
Undergraduate Announcement written by University of Michigan--Dearborn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Intelligent Tuning And Adaptive Control
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Author : R. Devanathan
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Intelligent Tuning And Adaptive Control written by R. Devanathan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
This volume contains 67 papers reporting on the state-of-the-art research in the fields of adaptive control and intelligent tuning. Papers include applications in robotics, the processing industries and machine control.
European Control Conference 1991
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Author :
language : en
Publisher: European Control Association
Release Date : 1991-07-02
European Control Conference 1991 written by and has been published by European Control Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-07-02 with categories.
Proceedings of the European Control Conference 1991, July 2-5, 1991, Grenoble, France