
Model-Reference Adaptive Control by Nhan T Nguyen
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 withMRAC 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.-
Robotics
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Robust Control Design with MATLAB (R)
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Control Engineering
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Lectures in Feedback Design for Multivariable Systems
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Foundations of Robotics
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Digital Self-tuning Controllers
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Statistical Signal Processing
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Discrete-time Stochastic Systems
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Principles of Adaptive Filters and Self-learning Systems
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Soft Computing
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Control of Dead-time Processes
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems
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Fault Detection and Diagnosis in Industrial Systems
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Hybrid Dynamical Systems
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Genetic Algorithms
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Discrete-time Signal Processing
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Analysis and Control of Nonlinear Process Systems
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Control of Robot Manipulators in Joint Space
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Introduction to Optimal Estimation
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Automatic Control with Experiments
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Model Predictive Control
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Neural Networks for Modelling and Control of Dynamic Systems
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Control Engineering: MATLAB Exercises
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Stabilization and Regulation of Nonlinear Systems
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Receding Horizon Control
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Control Systems with Input and Output Constraints
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Modeling and Control of Discrete-event Dynamic Systems
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Multivariable Control Systems
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System Identification
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Power Electronic Converters Modeling and Control
| SKU | Unavailable |
| ISBN 13 | 9783030096199 |
| ISBN 10 | 303009619X |
| Title | Model-Reference Adaptive Control |
| Author | Nhan T Nguyen |
| Series | Advanced Textbooks In Control And Signal Processing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2018-12-16 |
| Number of pages | 444 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





























