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Linear Optimal Control

Linear Optimal Control: H2 and H Methods is a reader-friendly book that features recent research results on robustness, H control;

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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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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Continuous Time Dynamical Systems

-pulse functions and shifted Legendre polynomials State estimation of linear time-invariant systems Linear optimal control systems;

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Linear Control Theory

its extensions, the edge theorem, and the mapping theorem. Focusing on the optimal control of linear systems, the third part discusses the;

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Optimal Networked Control Systems with MATLAB

formulation for linear systems in input-output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear;

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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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Stochastic Linear-Quadratic Optimal Control Theory: Differential Games and Mean-Field Problems

This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an;

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Linear Robust Control

for students and control engineers, the authors examine all of these advances, providing an in-depth examination of modern optimal and robust;

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Stochastic Linear-Quadratic Optimal Control Theory: Open-Loop and Closed-Loop Solutions

This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an;

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Control Engineering

, mechanical, industrial, aerospace and chemical engineering students. A chapter each is devoted to analysis of non-linear control system, control;

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Distributed Cooperative Control and Communication for Multi agent Systems

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple;

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Distributed Cooperative Control and Communication for Multi agent Systems

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple;

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Modern Control Engineering

Illustrates the analysis, behavior, and design of linear control systems using classical, modern, and advanced control techniques. Covers;

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Time Optimal Control of Evolution Equations

This monograph develops a framework for time-optimal control problems, focusing on minimal and maximal time-optimal controls for linear;

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Optimal Control

Unique in scope, Optimal Control: Weakly Coupled Systems and Applications provides complete coverage of modern linear, bilinear, and;

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Model Predictive Control

Predictive Control (MPC) is an optimal control approach which can effectively deal with constraints and multivariable processes in industries;

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Optimization of Linear Control Systems

The authors present analytical methods for synthesis of linear stationary and periodical optimal controlled systems, and create effective;

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Predictive Control for Linear and Hybrid Systems

feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid;

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Predictive Control for Linear and Hybrid Systems

feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid;

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Periodic Feedback Stabilization for Linear Periodic Evolution Equations

. First, it presents selected connections between linear quadratic optimal control theory and feedback stabilization theory for linear periodic;

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Optimal Trajectory Tracking of Nonlinear Dynamical Systems

, optimal control and trajectory tracking are clarified. Furthermore, the existence of linear structures underlying nonlinear optimal control;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for;

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Machine Learning Control Taming Nonlinear Dynamics and Turbulence

detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal;

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Optimal Supervisory Control of Automated Manufacturing Systems

net supervisors with computationally tractable approaches. It details optimal supervisory control problems arising in automated production;

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