Nhan T. Nguyen
Model-Reference Adaptive Control: A Primer
Model-Reference Adaptive Control: A Primer
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This textbook provides readers with a solid working knowledge of adaptive control theory through applications, intended for students beginning masters or doctoral courses and control practitioners wishing to get up to speed in the subject expeditiously. It covers standard model-reference adaptive control (MRAC), least-squares parameter estimation, function approximation with orthogonal polynomials and neural networks, robust adaptive control, and optimal control modification. It also includes end-of-chapter exercises and associated MATLAB® files.
Format: Hardback
Length: 444 pages
Publication date: 15 March 2018
Publisher: Springer International Publishing AG
This comprehensive textbook offers readers a solid foundation in adaptive control theory through practical applications. Designed for students embarking on advanced master's or doctoral courses in control engineering and control practitioners seeking to rapidly familiarize themselves with the subject, it provides a diverse range of adaptive control techniques, starting from simple methods and gradually progressing to more complex ones.
To ensure clarity and accessibility, stability proofs are presented for all adaptive control techniques without overwhelming readers with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC), covering first-order, second-order, and multi-input, multi-output systems. It then delves into least-squares parameter estimation, extending it to MRAC, offering a fresh perspective on the technique. Additionally, the book covers function approximation using orthogonal polynomials and neural networks, as well as MRAC utilizing neural networks.
Robustness considerations related to MRAC are discussed, fostering a deeper understanding of potential pitfalls and encouraging readers to appreciate the nuances of the technique. This appreciation is further reinforced by drawing parallels between robustness and linear time-invariant systems whenever relevant.
The book continues with robust adaptive control, encompassing both traditional methods and detailed explanations of recent advancements, particularly the authors' work on optimal control modification. Interesting properties of this new method are demonstrated through the design of adaptive systems to meet stability margins, showcasing its practical applications.
Furthermore, the book provides detailed insights into various flight-control applications, including the successful flight-testing of the new method on research aircraft. Additionally, a hybrid adaptive flight control architecture is presented, combining direct MRAC with other control strategies, highlighting the versatility and effectiveness of adaptive control in real-world scenarios.
By covering a wide range of topics and providing comprehensive explanations, this textbook serves as an invaluable resource for students and professionals seeking to advance their knowledge and expertise in adaptive control theory and its applications.
Weight: 898g
Dimension: 247 x 163 x 28 (mm)
ISBN-13: 9783319563923
Edition number: 1st ed. 2018
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