Описание: Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear systems. The net result is a practical controller design that is simple and surprisingly robust, one that also guarantees convergence to small neighborhoods of desired equilibria or tracking errors that are as close to zero as desired. . This methodology differs from current robust feedback controllers characterized by either complex matrix manipulations, complex parameter adaptation schemes and, in other cases, induced high frequency noises through the classical chattering phenomenon. . The approach contains many of the cornerstones, or philosophical features, of Model Free Control and ADRC, while exploiting flatness and GPI control in an efficient manner for linear, nonlinear, mono-variable and multivariable systems, including those exhibiting inputs delays. . The book contains successful experimental laboratory case studies of diverse engineering problems, especially those relating to mechanical, electro-mechanical, robotics, mobile robotics and power electronics systems.
Описание: Control theory of non-linear systems is a demanding and highly interesting field. Intelligent learning techniques are able to determine the unknown components of non-linear systems, so this book makes an analysis of the field by focusing on the role of learning.
Описание: Presents a combination of theoretical results in the field of nonlinear controller and observer design, combined with industrial applications stemming from mechatronics, electrical, bio-chemical engineering, and fluid dynamics. This book is useful for postgraduates, researchers, and engineers both at universities and in industry.
Описание: This book presents the theory and technology of fault estimation and accommodation for dynamic systems. It establishes a systemic and comprehensive framework of fault estimation and accommodation for continuous/discrete-time systems.
Описание: This book introduces several observer-based methods, including:• the sliding-mode observer• the adaptive observer• the unknown-input observer and• the descriptor observer methodfor the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H? control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.
Описание: Many problems in decision making, monitoring, fault detection, and control require the knowledge of state variables and time-varying parameters that are not directly measured by sensors. In such situations, observers, or estimators, can be employed that use the measured input and output signals along with a dynamic model of the system in order to estimate the unknown states or parameters. An essential requirement in designing an observer is to guarantee the convergence of the estimates to the true values or at least to a small neighborhood around the true values. However, for nonlinear, large-scale, or time-varying systems, the design and tuning of an observer is generally complicated and involves large computational costs. This book provides a range of methods and tools to design observers for nonlinear systems represented by a special type of a dynamic nonlinear model -- the Takagi--Sugeno (TS) fuzzy model. The TS model is a convex combination of affine linear models, which facilitates its stability analysis and observer design by using effective algorithms based on Lyapunov functions and linear matrix inequalities. Takagi--Sugeno models are known to be universal approximators and, in addition, a broad class of nonlinear systems can be exactly represented as a TS system. Three particular structures of large-scale TS models are considered: cascaded systems, distributed systems, and systems affected by unknown disturbances. The reader will find in-depth theoretic analysis accompanied by illustrative examples and simulations of real-world systems. Stability analysis of TS fuzzy systems is addressed in detail. The intended audience are graduate students and researchers both from academia and industry. For newcomers to the field, the book provides a concise introduction dynamic TS fuzzy models along with two methods to construct TS models for a given nonlinear system
Автор: Hippe Название: Design of Observer-based Compensators ISBN: 1848825366 ISBN-13(EAN): 9781848825369 Издательство: Springer Рейтинг: Цена: 14959 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the frequency domain design of observer-based controllers in correspondence to well-known time domain results and offers connecting relations at various design stages. This book provides quick access to state space methods for control system design. It is suitable for engineers, graduate students and researchers.
Автор: George Ellis Название: Observers in Control Systems, ISBN: 012237472X ISBN-13(EAN): 9780122374722 Издательство: Elsevier Science Рейтинг: Цена: 9631 р. Наличие на складе: Поставка под заказ.
Observers are digital algorithms that combine sensor outputs with knowledge of the system to provide results superior to traditional structures, which rely wholly on sensors. Observers have been used in selected industries for years, but most books explain them with complex mathematics. Observers in Control Systems uses intuitive discussion, software experiments, and supporting analysis to explain the advantages and disadvantages of observers. If you are working in controls and want to improve your control systems, observers could be the technology you need and this book will give you a clear, thorough explanation of how they work and how to use them.
Control systems and devices have become the most essential part of nearly all mechanical systems, machines, devices and manufacturing systems throughout the world. Increasingly the efficiency of production, the reliability of output and increased energy savings are a direct result of the quality and deployment of the control system. A modern and essential tool within the engineer's kit is the Observer which helps improve the performance and reduce the cost of these systems.
George Ellis is the author of the highly successful Control System Design Guide (Second Edition). Unlike most controls books, which are written by control theorists and academics, Ellis is a leading engineer, designer, author and lecturer working in industry directly with the users of industrial motion control systems. Observers in Control Systems is written for all professional engineers and is designed to be utilized without an in-depth background in control theory. This is a "real-world" book which will demonstrate how observers work and how they can improve your control system. It also shows how observers operate when conditions are not ideal and teaches the reader how to quickly tune an observer in a working system.
Software Available online: A free updated and enhanced version of the author's popular Visual ModelQ allows the reader to practice the concepts with Visual ModelQ models on a PC. Based on a virtual laboratory, all key topics are demonstrated with more than twenty control system models. The models are written in Visual ModelQ, and are available on the Internet to every reader with a PC.
Teaches observers and Kalman filters from an intuitive perspective
Explains how to reduce control system susceptibility to noise
Shows how to design an adaptive controller based on estimating parameter variation using observers
Shows how to improve a control system's ability to reject disturbances
Key topics are demonstrated with PC-based models of control systems. The models are written in both MatLab(R) and ModelQ; models are available free of charge
Автор: Trinh Название: Functional Observers for Dynamical Systems ISBN: 3642240631 ISBN-13(EAN): 9783642240638 Издательство: Springer Рейтинг: Цена: 12233 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The theory of linear functional observers, which is the subject of this book, is increasingly becoming a popular researched topic because of the many advantages it presents in state observation and control system design. This book presents recent information on the current state of the art research in this field. This book will serve as a useful reference to researchers in this area of research to understand the fundamental concepts relevant to the theory of functional observers and to gather most recent advancements in the field. This book is useful to academics and postgraduate students researching into the theory of linear functional observers. This book can also be useful for specialized final year undergraduate courses in control systems engineering and applied mathematics with a research focus.
Автор: BesanГ§on Gildas Название: Nonlinear Observers and Applications ISBN: 354073502X ISBN-13(EAN): 9783540735021 Издательство: Springer Рейтинг: Цена: 11359 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The problem of state reconstruction in dynamical systems, known as observer problem, is undoubtedly crucial for controlling or just monitoring processes. For linear systems, the corresponding theory has been quite well established for several years now, and the purpose of the present book is to propose an overview on possible tools in that respect for nonlinear systems. Basic observability notions and observer structures are first recalled, together with ingredients for advanced designs on this basis. A special attention is then paid to the well-known high gain techniques with a summary of various corresponding recent results. A focus on the celebrated Extended Kalman filter is also given, in the perspectives of both nonlinear filtering and high gain observers, leading to so-called adaptive-gain observers. The more specific immersion approach for observer design is then emphasized, while optimization-based methods are also presented as an alternative to analytic observers. Various practical application examples are included in those discussions, and some fields of application are further considered: first the problem of nonlinear output regulation is reformulated in a perspective of observers, and then the problem of parameter or fault estimation is briefly mentioned through some adaptive observer tools.
Автор: Li Название: Disturbance Observer-Based Control, ISBN: 1138199982 ISBN-13(EAN): 9781138199989 Издательство: Taylor&Francis Рейтинг: Цена: 4492 р. Наличие на складе: Поставка под заказ.
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 applications in motion and process control that have already benefited numerous organizations.
Supplying authoritative guidance in the areas of disturbance estimation and compensation for practical engineering systems, the book includes coverage of theoretic methods and practical applications of disturbance estimation and compensation for control systems through a DOBC approach. It considers applications in flight control systems, motion control systems, and process control systems.
Supplies an authoritative overview of disturbance observer based control approaches
Reports on recent developments in disturbance estimation techniques
Considers matched and mismatched disturbance/uncertainty attenuation for DOBC
Illustrates applications of the methods covered with detailed engineering case studies
Filled with valuable insights gathered over decades of research by the authors, this book provides time- and stress-saving guidance for anyone interested in the theory and method research of DOBC. Using typical engineering examples, the text provides readers with an understanding of recent developments in DOBC as well as the tools required to make the most of this promising approach to disturbance-attenuation.
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