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Optimal and Robust Scheduling for Networked Control Systems

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components-controllers, sensors, and;

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Optimal and Robust Scheduling for Networked Control Systems

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components-controllers, sensors, and;

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Optimal Networked Control Systems with MATLAB

Optimal Networked Control Systems with MATLAB (R) discusses optimal controller design in discrete time for networked control systems (NCS;

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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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Model-Based Control Of Networked Systems

of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems;

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Supervisory Control and Scheduling of Resource Allocation Systems

Presents strategies with reachability graph analysis for optimizing resource allocation systems Supervisory Control and Scheduling;

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Networked Control Systems with Intermittent Feedback

Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers;

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Networked Control Systems with Intermittent Feedback

Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers;

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Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles

This book gives an exposition of recently developed approximate dynamic programming (ADP) techniques for decision and control in human;

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Robust Industrial Control Systems

of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for;

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Linear Systems

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear;

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Robust Control Systems with Genetic Algorithms

developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure;

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Robust Control Systems with Genetic Algorithms

developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure;

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Analysis and Design of Networked Control Systems under Attacks

, and the adaptive security control of the networked control systems. Because the cyber-physical system is a hybrid system, it adopts cross;

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Analysis and Design of Networked Control Systems under Attacks

, and the adaptive security control of the networked control systems. Because the cyber-physical system is a hybrid system, it adopts cross;

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Stochastic Networked Control Systems: Stabilization and Optimization Under Information Constraints

theoretical foundation for the study of networked control systems, and introduces an array of concrete tools for work in the field. Salient features;

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Optimization and Control Methods in Industrial Engineering and Construction

engineering and project management. Topics include numerical methods in unconstrained optimization, robust optimal control problems, set splitting;

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Robust Control Design: An Optimal Control Approach

Comprehensive and accessible guide to the three main approaches to robust control design and its applications Optimal control is a;

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Control Systems

mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it;

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Networked Control Under Communication Constraints

resource for researchers interested in sampled-data and networked control, and time-delay systems, as well as for graduate students in automatic;

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Networked Control Under Communication Constraints

resource for researchers interested in sampled-data and networked control, and time-delay systems, as well as for graduate students in automatic;

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Modern Heuristic Optimization Techniques

This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust;

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Linear Control Theory

areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory;

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Robust Output LQ Optimal Control via Integral Sliding Modes

applicability to real-world systems. On the cutting-edge of optimal control research, this book is an excellent resource for both graduate students and;

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Stochastic Control and Filtering over Constrained Communication Networks

on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal;

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Stability Analysis of Markovian Jump Systems

systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a;

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Optimal Reference Shaping for Dynamical Systems

feedback control alone. Focusing on feedforward control techniques, Optimal Reference Shaping for Dynamical Systems: Theory and Applications;

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