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This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties, and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and H¥ filtering, are addressed, and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features: ·        design approaches to robust filters arranged according to varying complexity level, and emphasizing robust filtering in the parameter-dependent framework for the first time; ·        guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance; ·        a unified linear matrix inequality formulation of design approaches for easy and effective filter design; ·        demonstration of the techniques of matrix decoupling technique, the generalized Kalman‒Yakubovich‒Popov lemma, the free weighting matrix technique, and the delay modelling approach, in robust filtering; ·        numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and ·        an account of emerging issues on robust filtering for research to inspire future investigation. Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.   The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.

Robust control. --- Automatic control. --- Lyapunov functions. --- Functions, Liapunov --- Liapunov functions --- Differential equations --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Robustness (Control systems) --- Automatic control --- Systems theory. --- Control and Systems Theory. --- Systems Theory, Control. --- Signal, Image and Speech Processing. --- Control engineering. --- System theory. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Systems, Theory of --- Systems science --- Science --- Philosophy

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This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: ·        the state-of-the-art of nonlinear filtering and control; ·        recent advances in recursive filtering and sliding mode control; and ·        their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities, and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

Engineering. --- Control. --- Probability Theory and Stochastic Processes. --- Communications Engineering, Networks. --- Systems Theory, Control. --- Systems theory. --- Distribution (Probability theory). --- Telecommunication. --- Ingénierie --- Distribution (Théorie des probabilités) --- Télécommunications --- Distribution (Probability theory. --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Sliding mode control. --- Stochastic systems. --- Nonlinear control theory. --- Systems, Stochastic --- System theory. --- Probabilities. --- Control engineering. --- Electrical engineering. --- Control theory --- Nonlinear theories --- Stochastic processes --- System analysis --- Automatic control --- Control and Systems Theory. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Electric engineering --- Engineering --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Systems, Theory of --- Systems science --- Science --- Philosophy

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This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced phenomena consequent on limited communication capacity. Such phenomena include communication delay, packet dropout, signal quantization or saturation, randomly occurring nonlinearities and randomly occurring uncertainties. The text is self-contained, beginning with an introduction to nonlinear stochastic systems, network-induced phenomena and filtering and control, moving through a collection of the latest research results which focuses on the three aspects of: · the state-of-the-art of nonlinear filtering and control; · recent advances in recursive filtering and sliding mode control; and · their potential for application in networked control systems, and concluding with some ideas for future research work. New concepts such as the randomly occurring uncertainty and the probability-constrained performance index are proposed to make the network models as realistic as possible. The power of combinations of such recent tools as the completing-the-square and sums-of-squares techniques, Hamilton‒Jacobi‒Isaacs matrix inequalities, difference linear matrix inequalities, and parameter-dependent matrix inequalities is exploited in treating the mathematical and computational challenges arising from nonlinearity and stochasticity. Nonlinear Stochastic Systems with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers in bringing structure to problems associated with an important class of networked system and offering new means of solving them. The significance of the new concepts, models and methods presented for practical control engineering and signal processing will also make it a valuable reference for engineers dealing with nonlinear control and filtering problems.

Operational research. Game theory --- Probability theory --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Mass communications --- waarschijnlijkheidstheorie --- stochastische analyse --- automatisering --- systeemtheorie --- systeembeheer --- kansrekening --- elektrotechniek --- communicatietechnologie --- automatische regeltechniek

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Mathematics --- Classical mechanics. Field theory --- Mechanical properties of solids --- Electrical engineering --- patroonherkenning --- systeemtheorie --- dynamica --- automatische regeltechniek --- optica

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Mathematics --- Classical mechanics. Field theory --- Electrical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- automatisering --- KI (kunstmatige intelligentie) --- dynamica --- automatische regeltechniek