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L1 Adaptive Control Theory

2010-01-01 Science
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Release : 2010-01-01
Genre : Science
Kind : eBook
Book Rating : 372/5 ( reviews)

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Book Synopsis L1 Adaptive Control Theory by : Naira Hovakimyan

Download or read book L1 Adaptive Control Theory written by Naira Hovakimyan. This book was released on 2010-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive overview of the recently developed L1 adaptive control theory, including detailed proofs of the main results. The key feature of the L1 adaptive control theory is the decoupling of adaptation from robustness. The architectures of L1 adaptive control theory have guaranteed transient performance and robustness in the presence of fast adaptation, without enforcing persistent excitation, applying gain-scheduling, or resorting to high-gain feedback.

Two New Extensions to L1 Adaptive Control Theory

2012
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Release : 2012
Genre :
Kind : eBook
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Book Synopsis Two New Extensions to L1 Adaptive Control Theory by :

Download or read book Two New Extensions to L1 Adaptive Control Theory written by . This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Control Design and Analysis

2003-07-09 Science
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Release : 2003-07-09
Genre : Science
Kind : eBook
Book Rating : 520/5 ( reviews)

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Book Synopsis Adaptive Control Design and Analysis by : Gang Tao

Download or read book Adaptive Control Design and Analysis written by Gang Tao. This book was released on 2003-07-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Robust and Adaptive Control

2012-11-13 Technology & Engineering
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Release : 2012-11-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 965/5 ( reviews)

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Book Synopsis Robust and Adaptive Control by : Eugene Lavretsky

Download or read book Robust and Adaptive Control written by Eugene Lavretsky. This book was released on 2012-11-13. Available in PDF, EPUB and Kindle. Book excerpt: Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.

Extension of L1 Adaptive Control with Applications

2016 Electronic dissertations
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Release : 2016
Genre : Electronic dissertations
Kind : eBook
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Book Synopsis Extension of L1 Adaptive Control with Applications by : Jiaxing Che

Download or read book Extension of L1 Adaptive Control with Applications written by Jiaxing Che. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive control is the control method used by a controller which adapt to a system with unknown or varying parameters. As a newly developed technique, L1 adaptive control has drawn increased attention in past decades. The key feature of L1 adaptive control architecture is guaranteed robustness in the presence of fast adaptation. With L1 adaptive control architecture, fast adaptation appears to be beneficial both for performance and robustness, while the trade-off between the two is resolved via the selection of the underlying filtering structure. The latter can be addressed via conventional methods from classical and robust control. Moreover, the performance bounds of L1 adaptive control architectures can be analyzed to determine the extent of the modeling of the system that is required for the given set of hardware. The main contribution of this dissertation is to extend the framework of L1 adaptive control theory and applied in various of applications. It can be summarized with 3 different parts: The first one is the extension of L1 adaptive to time-varying system and non-minimum phase system by using eigenvalue assignment method. This approach has been demonstrated by both theoretical models as well as high fidelity models such as flexible wing aircraft model from NASA and also the supersonic glider model developed from the supersonic lab in Austria. The 2nd part focuses on filter bandwidth adaptation in the L1 adaptive control architecture. The stability condition of the low-pass filter in control is relaxed by introducing an additional Lyapunov-based adaptation mechanism which results in a more systematic design with minimized tuning efforts. Adaptability for arbitrarily large nonlinear time-varying uncertainties without redesign parameters. The overall system is a non-LTI design even in the limiting case. The 3rd part introduces the concept of predictive horizon and online optimization into L1 adaptive control. This approach enables L1 adaptive control to solve the output limitation even for the non-minimum phase system.

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