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Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms

is a paramount concern. Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms presents recent research results that are;

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Adaptive Filtering Prediction and Control

This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the;

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Adaptive IIR Filtering in Signal Processing and Control

Integrates rational approximation with adaptive filtering, providing viable, numerically reliable procedures for creating adaptive infinite;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

controllers obtained can be applied to a wide class of nonlinear systems with unknown dynamics, and assure reliable functioning of the control loop;

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Analysis and Synthesis of Singular Systems

control, filtering, dissipative control, H8 control, reliable control, sliding mode control and fuzzy control for linear singular systems and;

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Optimal Filtering

communication systems and digital filtering theory. Vital for students in the fields of control and communications, its contents are also relevant to;

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Analysis and Design of Singular Markovian Jump Systems

control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; * mode;

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Nonlinear and Adaptive Control Systems

An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar;

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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

acquaintance with stochastic control theory and state-space-based optimal control theory and methods for linear and nonlinear systems.;

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Delay-Adaptive Linear Control

unmeasurable infinite-dimensional actuator states. Presenting breakthroughs in adaptive control and control of delay systems, Delay-Adaptive Linear;

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Advances in Systems Control and Automations

of different systems or machines in different environments. Some of the areas covered include control of linear and nonlinear systems, intelligent;

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Nonlinear Estimation & Applications to Industrial Systems Control

This book analyses recent advances in non-linear state estimation and application of such estimation schemes to industrial systems control;

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Linear Systems

methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect;

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Linear Systems

methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect;

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Cooperative Control of Multi-Agent Systems

linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to;

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Cooperative Control of Multi-Agent Systems

linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to;

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Adaptive Filtering

This book titled Adaptive Filtering: Principles, Concepts and Applications covers principles, concepts and applications of adaptive;

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Distributed Control and Filtering for Industrial Systems

Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a;

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Adaptive Filtering and Change Detection

engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique;

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Robotic Manipulators and Vehicles

This monograph addresses problems of: * nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom;

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Optimal Networked Control Systems with MATLAB

engineers, Optimal Networked Control Systems with MATLAB (R) instills a solid understanding of neural network controllers and how to build them.;

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Optimal Networked Control Systems With MATLAB

An ideal reference for graduate students, university researchers, and practicing engineers, Optimal Networked Control Systems with MATLAB (R;

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Adaptive Control of Hyperbolic PDEs

control and boundary sensing are the particular focus, state-feedback designs are also presented. The book also includes simulation examples with;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

filtering and sliding mode control; and * their potential for application in networked control systems, and concluding with some ideas;

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Trends in Control

advances in linear-quadratic regulation, robust control and filtering, system parameter identification, automative control and control of large;

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Adaptive Regulation

to the problems of asymptotic rejection/tracking of a priori uncertain exogenous signals for linear and nonlinear plants with known and;

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Nonlinear Control and Filtering for Stochastic Networked Systems

concepts concerning stochastic control/filtering and distributed control/filtering with an emphasis on a variety of network-induced complexities;

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