L1 Adaptive Control Theory
Author: Naira Hovakimyan
Publisher: SIAM
Published: 2010-09-30
Total Pages: 333
ISBN-13: 0898717043
DOWNLOAD EBOOK →Contains results not yet published in technical journals and conference proceedings.
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Two New Extensions to L1 Adaptive Control Theory
Adaptive Control Design and Analysis
Author: Gang Tao
Publisher: John Wiley & Sons
Published: 2003-07-09
Total Pages: 652
ISBN-13: 9780471274520
DOWNLOAD EBOOK →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.
L1 Adaptive Control Theory
Author: Naira Hovakimyan
Publisher: SIAM
Published: 2010-01-01
Total Pages: 334
ISBN-13: 0898719372
DOWNLOAD EBOOK →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.
Extension of L1 Adaptive Control with Applications
Author: Jiaxing Che
Publisher:
Published: 2016
Total Pages:
ISBN-13:
DOWNLOAD EBOOK →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.
Robust and Adaptive Control
Author: Eugene Lavretsky
Publisher: Springer Science & Business Media
Published: 2012-11-13
Total Pages: 506
ISBN-13: 1447143965
DOWNLOAD EBOOK →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.
Adaptive Control
Author: Dianwei Qian
Publisher:
Published: 2018-03
Total Pages: 233
ISBN-13: 9781536131185
DOWNLOAD EBOOK →Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. An adaptive control system utilizes on-line identification of which either system parameter or controller parameter, which does not need a priori information about the bounds on these uncertain or time-varying parameters. These approaches consider their control design in the sense of Lyapunov. Besides, there are still some branches by combining adaptive control and other control methods, i.e., nonlinear control methods, intelligent control methods, and predict control methods, to name but a few. Addresses some original contributions reporting the latest advances in adaptive control. It aims to gather the latest research on state-of-the-art methods, applications and research for the adaptive control theory, and recent new findings obtained by the technique of adaptive control. Apparently, the book cannot include all research topics. Different aspects of adaptive control are explored. Chapters includes some new tendencies and developments in research on a adaptive formation controller for multi-robot systems; L1 adaptive control design of the the longitudinal dynamics of a hypersonic vehicle model; adaptive high-gain control of biologically inspired receptor systems; adaptive residual vibration suppression of sigid-flexible coupled systems; neuro-hierarchical sliding mode control for under-actuated mechanical systems; neural network adaptive PID control design based on PLC for a water-level system; and fuzzy-based design of networked control systems with random time delays and packet dropout in the forward communication channel--
Adaptive Control
Author: Kwanho You
Publisher: BoD – Books on Demand
Published: 2009-01-01
Total Pages: 382
ISBN-13: 9537619478
DOWNLOAD EBOOK →Adaptive control has been a remarkable field for industrial and academic research since 1950s. Since more and more adaptive algorithms are applied in various control applications, it is becoming very important for practical implementation. As it can be confirmed from the increasing number of conferences and journals on adaptive control topics, it is certain that the adaptive control is a significant guidance for technology development.The authors the chapters in this book are professionals in their areas and their recent research results are presented in this book which will also provide new ideas for improved performance of various control application problems.
Robust Adaptive Control
Author: Petros Ioannou
Publisher: Courier Corporation
Published: 2013-09-26
Total Pages: 850
ISBN-13: 0486320723
DOWNLOAD EBOOK →This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
Adaptive Control Theory
