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Disturbance Attenuation For Uncertain Control Systems
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Book Synopsis Disturbance Attenuation for Uncertain Control Systems by : Hans Wilhelm Knobloch
Download or read book Disturbance Attenuation for Uncertain Control Systems written by Hans Wilhelm Knobloch and published by Springer. This book was released on 2013-07-17 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a survey on recent attempts to treat classical regulator design problems in case of an uncertain dynamics. It is shown that source of the uncertainty can be twofold: (i) The system is under the influence of an exogenous disturbance about which one has only incomplete - or none - information. (ii) A portion of the dynamical law is unspecified - due to imperfect modeling. Both cases are described by the state space model in a unified way “Disturbance Attenuation for Uncertain Control Systems” presents a variety of approaches to the design problem in the presence of a (partly) unknown disturbance signal. There is a clear philosophy underlying each approach which can be characterized by either one of the following terms: Adaptive Control, Worst Case Design, Dissipation Inequalities.
Book Synopsis Robust Control for Uncertain Networked Control Systems with Random Delays by : Dan Huang
Download or read book Robust Control for Uncertain Networked Control Systems with Random Delays written by Dan Huang and published by Springer Science & Business Media. This book was released on 2009-07-06 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Robust Control for Uncertain Networked Control Systems with Random Delays" addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network. The main technique used in this book is based on the Lyapunov-Razumikhin method, which results in delay-dependent controllers. The existence of such controllers and fault estimators are given in terms of the solvability of bilinear matrix inequalities. Iterative algorithms are proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system.
Book Synopsis A Disturbance Attenuation Approach to a Class of Uncertain Systems by : David F. Chichka
Download or read book A Disturbance Attenuation Approach to a Class of Uncertain Systems written by David F. Chichka and published by . This book was released on 1994 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Disturbance Attenuation Controller Adaptive Through a Nonlinear Modified Gain Observer by : wei huang
Download or read book A Disturbance Attenuation Controller Adaptive Through a Nonlinear Modified Gain Observer written by wei huang and published by . This book was released on 2021 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents an adaptive robust control strategy for a class of uncertain linear systems with disturbance input. The uncertain linear system contains unknown parameters in both the system and the input matrices. The system makes perfect partial measurement of the state. A disturbance attenuation function is transformed into a minimax differential game where the disturbance and the unknown parameters act as the cooperative players that maximize the cost function, whereas the controller is the opposing player that minimizes the cost function. Having shown the existence of a saddle point in the cost function, the optimization yields a minimax controller coupled with a stable nonlinear modified gain observer, which estimates the state and the unknown parameters. By maximizing the cost function with respect to the uncertain parameters, the minimax controller takes the parameter estimation confidence level into account to generate the worst case input for a given instance of time. This leads to two sets of Riccati equations, one for the controller and one for the observer. In this class of parameter estimation problem, the measurement function and the augmented system, which is composed of the state and the uncertain parameters, are modifiable functions or can be transformed into modifiable functions using an appropriate change of coordinate system, such as the observable canonical form. The essence of a modifiable function is that although the observer dynamics are nonlinear, the error in the observer's estimation error is linear. The existence of the saddle point in the performance index is presented. Under certain conditions, such as the observability and controllability of the system, the existence of the solution to the two Riccati equation and finiteness of the value function, the close loop system is stable and the estimation error is bounded, which demonstrates the disturbance attenuation properties of the observer. We present an unstable single-input single-output (SISO) four state vector case example with four unknown system parameters, subject to worst case disturbance. The simulation demonstrates the applicability of the disturbance attenuation controller coupled with the nonlinear modified gain observer, and assess its performance against the linear quadratic regulator (LQR) coupled with a modified gain extended Kalman observer (MGEKO). Furthermore, the derived disturbance attenuation controller is applied to an air breathig hypersonic flight vehicle with full state measurement. The nonlinear longitudinal dynamics of the aircraft, which is subject to large aerodynamic uncertainty, is linearized around a nominal trim condition to derive a nominal linearized perturbation model. The nonlinear modified gain observer estimates four system parameters to yield an estimated linearized perturbation model and the corresponding estimation error weightings for the worst case controller. The simulation result demonstrates the applicability of the worst case controller coupled with the nonlinear modified gain observer and its superior performance when compared against the Sum-of-Squares method shown in the previous literature.
Book Synopsis Control of Uncertain Systems with Bounded Inputs by : Sophie Tarbouriech
Download or read book Control of Uncertain Systems with Bounded Inputs written by Sophie Tarbouriech and published by Springer. This book was released on 2014-03-12 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: In practical control problems, many constraints have to be handled in order to design controllers which operate in a real environment. By combining results on robust control and saturating control, this book attempts to provide positive help for practical situations and, as one of the first books to merge the two control fields, it should generate considerable interest in scientific/acad emic circles. The ten chapters, which deal with stabilization and control of both linear and nonlinear systems, are each independent in their approach - some deal purely with theoretical results whilst others concentrate on ways in which the theory can be applied. The book's unity is secured by the desire to formulate control design requirements through constraints on input and model uncertainty description.
Book Synopsis Disturbance Observer-Based Control by : Shihua Li
Download or read book Disturbance Observer-Based Control written by Shihua Li and published by CRC Press. This book was released on 2016-04-19 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applica
Book Synopsis Robustness of Disturbance Attenuation with Respect to Disturbance Model Uncertainty by : Daniel Edward Davison
Download or read book Robustness of Disturbance Attenuation with Respect to Disturbance Model Uncertainty written by Daniel Edward Davison and published by . This book was released on 1997 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Control of Uncertain Dynamic Systems by : Shankar P. Bhattacharyya
Download or read book Control of Uncertain Dynamic Systems written by Shankar P. Bhattacharyya and published by CRC Press. This book was released on 2020-09-23 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of 34 papers presented by leading researchers at the International Workshop on Robust Control held in San Antonio, Texas in March 1991. The common theme tying these papers together is the analysis, synthesis, and design of control systems subject to various uncertainties. The papers describe the latest results in parametric understanding, H8 uncertainty, l1 optical control, and Quantitative Feedback Theory (QFT). The book is the first to bring together all the diverse points of view addressing the robust control problem and should strongly influence development in the robust control field for years to come. For this reason, control theorists, engineers, and applied mathematicians should consider it a crucial acquisition for their libraries.
Book Synopsis Resilient Control of Uncertain Dynamical Systems by : Magdi S. Mahmoud
Download or read book Resilient Control of Uncertain Dynamical Systems written by Magdi S. Mahmoud and published by Springer Science & Business Media. This book was released on 2004-05-18 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a complete description of resilient control theory. It unifies the methods for developing resilient controllers and filters for a class of uncertain dynamical systems and reports recent advances in design methodologies. The book presents an introductory and comprehensive treatment of resilient controller design methods placing great emphasis on the derivation of necessary and sufficient design conditions and on the use of linear matrix inequalities as a convenient computational tool. The book can be used as a graduate-level textbook in control engineering or applied mathematics as well as a reference for practicing engineers, researchers and students.
Book Synopsis Anti-Disturbance Control for Systems with Multiple Disturbances by : Lei Guo
Download or read book Anti-Disturbance Control for Systems with Multiple Disturbances written by Lei Guo and published by CRC Press. This book was released on 2018-10-08 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing the essential theory for architecting and tackling issues faced during complex realistic engineering problems, this volume focuses on enhanced anti-disturbance control and filtering theory and applications. The book specifically addresses the novel disturbance observer based control (DOBC) methodologies for uncertain and nonlinear systems in time domain. It also examines novel anti-disturbance control and filtering with the composite hierarchical architecture to enhance control and filtering for the complex control systems with multiple disturbances. The book provides application examples, including flight control, robotic system, altitude control, and initial alignment to show how to use the theoretical methods in engineering
Book Synopsis Robust Control of Uncertain Dynamic Systems by : Rama K. Yedavalli
Download or read book Robust Control of Uncertain Dynamic Systems written by Rama K. Yedavalli and published by Springer Science & Business Media. This book was released on 2013-12-05 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach. This book also: Presents and formulates the robustness problem in a linear state space model framework. Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering. Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches. Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering.
Book Synopsis Uncertain Models and Robust Control by : Alexander Weinmann
Download or read book Uncertain Models and Robust Control written by Alexander Weinmann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: This coherent introduction to the theory and methods of robust control system design clarifies and unifies the presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control otherwise scattered throughout the literature.
Book Synopsis China’s e-Science Blue Book 2020 by : Chinese Academy of Sciences
Download or read book China’s e-Science Blue Book 2020 written by Chinese Academy of Sciences and published by Springer Nature. This book was released on 2021-01-08 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: “China’s e-Science Blue Book 2020” has been jointly compiled by the Chinese Academy of Sciences, Cyberspace Administration of China, Ministry of Education of the PRC, Ministry of Science and Technology of the PRC, China Association for Science and Technology, Chinese Academy of Social Sciences, National Natural Science Foundation of China and the Chinese Academy of Agricultural Sciences. It was focusing on the new situation, new progress and new achievements of China's e-Scientific in the past two years. During the “13th Five-Year Plan” period, Chinese scholars make full use of advanced information technology to carry out scientific research work, and have achieved a series of major scientific and technological achievements. This book has collected 28 research reports about China’s e-Science application in the past two years to introduce the application in the frontier research of science and technology, the progress of e-Science in major projects and the achievements of informatization in interdisciplinary. As such it provides a valuable reference resource for researchers and students in this area and promotes further e-Science research.
Book Synopsis Decentralized Systems with Design Constraints by : Magdi S. Mahmoud
Download or read book Decentralized Systems with Design Constraints written by Magdi S. Mahmoud and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decentralized Control and Filtering provides a rigorous framework for examining the analysis, stability and control of large-scale systems, addressing the difficulties that arise because dimensionality, information structure constraints, parametric uncertainty and time-delays. This monograph serves three purposes: it reviews past methods and results from a contemporary perspective; it examines presents trends and approaches and to provide future possibilities; and it investigates robust, reliable and/or resilient decentralized design methods based on a framework of linear matrix inequalities. As well as providing an overview of large-scale systems theories from the past several decades, the author presents key modern concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale dynamical systems are discussed in depth.
Download or read book Fuzzy Systems written by Ahmad Taher Azar and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: While several books are available today that address the mathematical and philosophical foundations of fuzzy logic, none, unfortunately, provides the practicing knowledge engineer, system analyst, and project manager with specific, practical information about fuzzy system modeling. Those few books that include applications and case studies concentrate almost exclusively on engineering problems: pendulum balancing, truck backeruppers, cement kilns, antilock braking systems, image pattern recognition, and digital signal processing. Yet the application of fuzzy logic to engineering problems represents only a fraction of its real potential. As a method of encoding and using human knowledge in a form that is very close to the way experts think about difficult, complex problems, fuzzy systems provide the facilities necessary to break through the computational bottlenecks associated with traditional decision support and expert systems. Additionally, fuzzy systems provide a rich and robust method of building systems that include multiple conflicting, cooperating, and collaborating experts (a capability that generally eludes not only symbolic expert system users but analysts who have turned to such related technologies as neural networks and genetic algorithms). Yet the application of fuzzy logic in the areas of decision support, medical systems, database analysis and mining has been largely ignored by both the commercial vendors of decision support products and the knowledge engineers who use them.
Book Synopsis Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems by : Ding Wang
Download or read book Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems written by Ding Wang and published by Springer. This book was released on 2018-08-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.
Book Synopsis Mathematical Methods for Robust and Nonlinear Control by : Matthew C. Turner
Download or read book Mathematical Methods for Robust and Nonlinear Control written by Matthew C. Turner and published by Springer Science & Business Media. This book was released on 2007-10-23 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The underlying theory on which much modern robust and nonlinear control is based can be difficult to grasp. This volume is a collection of lecture notes presented by experts in advanced control engineering. The book is designed to provide a better grounding in the theory underlying several important areas of control. It is hoped the book will help the reader to apply otherwise abstruse ideas of nonlinear control in a variety of real systems.
