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Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback;

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Stochastic Control and Filtering over Constrained Communication Networks

Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

focuses on the three aspects of: * the state-of-the-art of nonlinear filtering and control; * recent advances in recursive;

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Neural Advances in Processing Nonlinear Dynamic Signals

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as;

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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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Variance-Constrained Multi-Objective Stochastic Control and Filtering

This title unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented;

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Advances In Analysis And Control Of Time-delayed Dynamical Systems

shot of recent research from the world leading experts in analysis and control of dynamic systems with time delay to provide a bird's eye view;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

of control, filtering and fault detection. Recent advances in networked control systems and distributed filtering over sensor networks are covered;

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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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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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Advanced Control for Vehicle Active Suspension Systems

sensitive to. The book also contains nonlinear constrained tracking control via terminal sliding-mode control and adaptive robust theory, presenting;

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Robust Kalman Filtering for Signals and Systems with Large Uncertainties

of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version;

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Analysis and Synthesis of Singular Systems

of singular systems. The book presents recent advances in analysis and synthesis problems, including state-feedback control, static output feedback;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows;

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Nonlinear Filtering

dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation;

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Dynamic Systems with Time Delays Stability and Control

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic;

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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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Advances in Motion Sensing and Control for Robotic Applications

This book reports on advances in sensing, modeling and control methods for different robotic platforms such as multi-degree of freedom;

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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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Signals and Systems Primer with MATLAB

Signals and Systems Primer with MATLAB (R) equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure;

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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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Predictive Filtering for Microsatellite Control System

filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing;

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Signals and Systems

feedback. Relatively self-contained, the text assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z;

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Periodic Systems

Periodic Systems gives a comprehensive treatment of the theory of periodic systems, including the problems of filtering and control. Topics;

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Model-Based Tracking Control of Nonlinear Systems

control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control;

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Model-Based Tracking Control of Nonlinear Systems

control design methods with an emphasis on modeling constrained systems, generating dynamic control models, and designing tracking control;

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Recent Advances in Control Problems of Dynamical Systems and Networks

in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the;

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