Advances In State Estimation Diagnosis And Control Of Complex Systems
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| Author | : Ye Wang |
| Publisher | : Springer Nature |
| Total Pages | : 252 |
| Release | : 2020-07-30 |
| Genre | : Technology & Engineering |
| ISBN | : 303052440X |
This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona’s water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form.
| Author | : Yang Liu |
| Publisher | : CRC Press |
| Total Pages | : 277 |
| Release | : 2022-08-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1000641112 |
The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies including framework of optimal filter and FD unit design, robust filter and FD unit design, stability, and performance analysis for the considered systems subject to various kinds of complex factors. Features: Reviews latest research results on the state estimation and fault diagnosis issues. Presents comprehensive framework constituted for systems under imperfect measurements. Includes quantitative performance analyses to solve problems in practical situations. Provides simulation examples extracted from practical engineering scenarios. Discusses proper and novel techniques such as the Carleman approximation and completing the square method is employed to solve the mathematical problems. This book aims at Graduate students, Professionals and Researchers in Control Science and Application, Stochastic Process, Fault Diagnosis, and Instrumentation and Measurement.
| Author | : Sheng Du |
| Publisher | : Mdpi AG |
| Total Pages | : 0 |
| Release | : 2023-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9783036597560 |
Fault detection and state estimation are essential tasks for ensuring the reliability, safety and performance of automatic control systems. They play a critical role in detecting and isolating faults quickly and accurately, enabling timely corrective action and preventing system failures. The field of fault detection and state estimation has seen significant advances in recent years, driven by the integration of advanced methodologies with cutting-edge technologies, in particular artificial intelligence and deep learning. These techniques have demonstrated remarkable capabilities in fault diagnosis, state estimation and fault-tolerant control, especially in complex multi-sensor systems. This Special Issue highlights and discusses the design and application of fault detection algorithms, the design and application of state estimation methods, the design and application of machine learning algorithms, the analysis of automatic control system characteristics, and the design and application of intelligent control systems. Nevertheless, many challenges remain and require attention, including scalability, computational efficiency, online implementation, fault isolation, fault recovery and fault-tolerant control. Additional research efforts are therefore essential to advance both the theory and practice of this critical task.
| Author | : Yong Zhang |
| Publisher | : CRC Press |
| Total Pages | : 290 |
| Release | : 2023-02-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1000835944 |
This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning. Features: Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities. Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective. Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system. Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems. Includes simulation examples in each chapter to reflect the engineering practice. This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.
| Author | : Felix L. Chernousko |
| Publisher | : CRC Press |
| Total Pages | : 322 |
| Release | : 1993-11-09 |
| Genre | : Technology & Engineering |
| ISBN | : 9780849344589 |
State Estimation for Dynamic Systems presents the state of the art in this field and discusses a new method of state estimation. The method makes it possible to obtain optimal two-sided ellipsoidal bounds for reachable sets of linear and nonlinear control systems with discrete and continuous time. The practical stability of dynamic systems subjected to disturbances can be analyzed, and two-sided estimates in optimal control and differential games can be obtained. The method described in the book also permits guaranteed state estimation (filtering) for dynamic systems in the presence of external disturbances and observation errors. Numerical algorithms for state estimation and optimal control, as well as a number of applications and examples, are presented. The book will be an excellent reference for researchers and engineers working in applied mathematics, control theory, and system analysis. It will also appeal to pure and applied mathematicians, control engineers, and computer programmers.
| Author | : Domitilla Del Vecchio |
| Publisher | : |
| Total Pages | : 240 |
| Release | : 2005 |
| Genre | : Electronic dissertations |
| ISBN | : |
| Author | : Guillaume Goffaux |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 388 |
| Release | : 2010-05 |
| Genre | : |
| ISBN | : 9783838360355 |
State estimation plays a key role in the knowledge of characteristic variables of a system. By combining information from hardware sensor measurements and mathematical models, it improves the knowledge of the relevant variables used for advanced control or monitoring strategies. Moreover, a lot of state estimation techniques exist and try to improve accuracy despite uncertainties. In this context, this work provides an overview of useful state estimation techniques and gives extensions with robustness to uncertainties as objective. Two application fields are investigated with their own objectives in terms of safety and accuracy : safe vehicle positioning and bioprocesses. This book is divided into three parts. The first part introduces state estimation and describes popular techniques as Kalman filter and moving-horizon filter. Recent methods are also introduced like particle filtering or interval estimation. The next two parts are dedicated to the applications and the developed extensions. This book has a tutorial objective and can be dedicated to engineers in Automatic Control or to all who look for an advanced introduction to the state space exploration.
| Author | : Ch. Venkateswarlu |
| Publisher | : Elsevier |
| Total Pages | : 400 |
| Release | : 2022-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 0323900682 |
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. Describes various classical and advanced versions of mechanistic model based state estimation algorithms Describes various data-driven model based state estimation techniques Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas
| Author | : Karlene Andrea Hoo |
| Publisher | : |
| Total Pages | : 330 |
| Release | : 1985 |
| Genre | : |
| ISBN | : |
| Author | : Zhenhua Wang |
| Publisher | : Springer Nature |
| Total Pages | : 207 |
| Release | : 2022-10-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811967067 |
This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.
