L1 Adaptive Control Theory
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L1 Adaptive Control Theory
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Author : Naira Hovakimyan
language : en
Publisher: SIAM
Release Date : 2010-09-30
L1 Adaptive Control Theory written by Naira Hovakimyan and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Science categories.
Contains results not yet published in technical journals and conference proceedings.
L1 Adaptive Control Theory
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Author : Naira Hovakimyan
language : en
Publisher: SIAM
Release Date : 2010-01-01
L1 Adaptive Control Theory written by Naira Hovakimyan and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Science categories.
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.
Adaptive Control Design And Analysis
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Author : Gang Tao
language : en
Publisher: IEEE
Release Date : 2003-09-23
Adaptive Control Design And Analysis written by Gang Tao and has been published by IEEE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-23 with Science categories.
This well organized guide treats adaptive control design and analysis in an authoritative, rigorous manner. Gives both continuous-time and discrete-time adaptive control designs and their analysis. Deals with both single-input single-output and muli-input multi-output systems. Employs both state feedback and output feedback for control. Presents design and analysis of various adaptive control systems in a simplified, clarified, and unified as well as compact framework. Problem sets at the end of each chapter promote understanding of the topics discussed.
Two New Extensions To L1 Adaptive Control Theory
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Author :
language : en
Publisher:
Release Date : 2012
Two New Extensions To L1 Adaptive Control Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Hybrid L1 Adaptive Control
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Author : Roshni Maiti
language : en
Publisher: Springer Nature
Release Date : 2022-03-01
Hybrid L1 Adaptive Control written by Roshni Maiti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Technology & Engineering categories.
This book details the designing of hybrid control strategies for practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers will be brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknown constant, time varying uncertainties and time varying disturbances, a variant of adaptive controller, namely L1 adaptive controller, is hybridized with other strategies. In this book, to facilitate optimal parameter setting of the basic L1 adaptive controller, stochastic optimization technique will be hybridized with it. The stability of the optimization technique along with the controller will be guaranteed analytically with the help of spectral radius convergence. The proposed method exhibits satisfactory exploration and exploitation capabilities. Again, this book will throw light on tackling nonlinearities along with uncertainties and disturbances by hybridizing fuzzy logic with L1 adaptive controller. The performances of the designed controllers will be compared with different control methodologies to validate their effectiveness. The overall stability of the nonlinear system with the designed controller will be guaranteed with the help of fuzzy Lyapunov function to retain the zonal behaviour of the system. This fuzzy PDC-L1 adaptive controller is efficient to tackle nonlinearities and at the same time cancels unknown constant, time varying uncertainties and time varying disturbances adequately. This book will also contain four simulation case studies to validate fruitfulness of the designed controllers. To demonstrate the superior control ability of these controllers in tackling practical system, three experimental case studies will also be provided.
Extension Of L1 Adaptive Control With Applications
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Author : Jiaxing Che
language : en
Publisher:
Release Date : 2016
Extension Of L1 Adaptive Control With Applications written by Jiaxing Che and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Electronic dissertations categories.
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
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Author : Eugene Lavretsky
language : en
Publisher: Springer
Release Date : 2023-10-05
Robust And Adaptive Control written by Eugene Lavretsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-05 with Technology & Engineering categories.
Robust and Adaptive Control (second edition) shows readers 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-time dynamical systems. The two-part text begins with robust and optimal linear control methods and moves on to a self-contained presentation of the design and analysis of model reference adaptive control for nonlinear uncertain dynamical systems. Features of the second edition include: sufficient conditions for closed-loop stability under output feedback observer-based loop-transfer recovery (OBLTR) with adaptive augmentation; OBLTR applications to aerospace systems; case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; realistic examples and simulation data illustrating key features of the methods described; and problem solutions for instructors and MATLAB® code provided electronically. The theory and practical applications address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles 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 require both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers should 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. The second edition contains a background summary of linear systems and control systems and an introduction to state observers and output feedback control, helping to make it self-contained. Robust and Adaptive Control teaches 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.
Robust Adaptive Control
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Author : Petros A. Ioannou
language : en
Publisher: Courier Corporation
Release Date : 2012-12-19
Robust Adaptive Control written by Petros A. Ioannou and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-19 with Technology & Engineering categories.
" Presented in a tutorial style, this text reduces the confusion and difficulty in grasping the design, analysis, and robustness of a wide class of adaptive controls for continuous-time plants. The treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Excellent text and authoritative reference"--
Proceedings Of The 10th Chinese Society Of Aeronautics And Astronautics Youth Forum
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Author : Chinese Society of Aeronautics and Astronautics
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Proceedings Of The 10th Chinese Society Of Aeronautics And Astronautics Youth Forum written by Chinese Society of Aeronautics and Astronautics and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
The Chinese Society of Aeronautics and Astronautics holds the Youth Science and Technology Forum biannually, which aims to assess the state of aviation science and technology, recognize advanced scientific and technological accomplishments, foster the development of young aviation science and technology talents, and provide a platform for young science and technology workers to track the frontier of science and technology, exchange novel ideas, and accurately meet the needs of the aviation industry. This book contains original, peer-reviewed research papers from the conference. Topics covered include, but are not limited to, navigation, guidance and control technologies, key technologies for aircraft design and overall optimization, aviation test technologies, aviation airborne systems, electromechanical technologies, structural design, aerodynamics and flight mechanics, other related technologies, advanced aviation materials and manufacturing technologies, advanced aviation propulsion technologies, and civil aviation transportation. Researchers, engineers, and students find this book to be a useful resource because the articles provided here discuss the most recent advancements in aviation science and technology.
Data Driven Nonparametric Adaptive Control Theory
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Author : Andrew J. Kurdila
language : en
Publisher: Springer Nature
Release Date : 2025-05-10
Data Driven Nonparametric Adaptive Control Theory written by Andrew J. Kurdila and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Science categories.
Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed enforce satisfactory trajectory tracking despite functional uncertainties in the plant model. The book employs the properties of reproducing kernel Hilbert (native) spaces to characterize both the functional space of uncertainties and the controller's performance. Classical control systems are extended to broader classes of problems and more informative characterizations of the controllers’ performances are attained. Following an examination of how backstepping control and robust control Lyapunov functions can be ported to the native setting, numerous extensions of the model reference adaptive control framework are considered. The authors’ approach breaks away from classical paradigms in which uncertain nonlinearities are parameterized using a regressor vector provided a priori or reconstructed online. The problem of distributing the kernel functions that characterize the native space is addressed at length by employing data-driven methods in deterministic and stochastic settings. The first part of this book is a self-contained resource, systematically presenting elements of real analysis, functional analysis, and native space theory. The second part is an exposition of the theory of nonparametric control systems design. The text may be used as a self-study book for researchers and practitioners and as a reference for graduate courses in advanced control systems design. MATLAB® codes, available on the authors’ website, and suggestions for homework assignments help readers appreciate the implementation of the theoretical results.