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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 Control Theory

Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major;

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Linear Robust Control

Recent decades have witnessed enormous strides in the field of robust control of dynamical systems unfortunately, accounts of many;

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Control Theory for Linear Systems

decoupling, and tracking and regulation, to linear quadratic regulation, H2 and H-infinity control, and robust stabilization. Each chapter of the;

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Symbolic Methods in Control System Analysis and Design

robust control of single-input single-output linear systems using a new linear programming approach differential and real algebra for dealing;

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Robust Controllability of Linear Systems

realization. As a rule, the robust controllability is realized by a feedback control. This book presents current research in the study of robust;

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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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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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Encyclopedia of Robust Control

Substantial information regarding the novel approaches in the field of robust control has been illustrated in this book. Robust control has;

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Encyclopedia of Robust Control

This book gives a broad overview of robust control by providing theoretical advances with the help of selected applications. Robust control;

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Encyclopedia of Robust Control

This book gives a broad overview of theoretical and design advances with the help of selected applications. Robust control has been a topic;

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Robust Systems Theory and Applications

used in linear robust control analysis/synthesis and in robust (control-oriented) identification. The main analysis and design methods are;

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Spacecraft Attitude Control

Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problems for spacecraft attitude control systems using convex;

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Linear Parameter-varying and Time-delay Systems

This book provides an introduction to the analysis and control of Linear Parameter-Varying Systems and Time-Delay Systems and their;

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Stability Analysis of Markovian Jump Systems

. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear;

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H Robust Designs & their Applications to Control, Signal Processing, Communication, Systems & Synthetic Biology

disturbance. This book introduces several robust design methods, some of which include linear to nonlinear systems and frequency to time domain. This;

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Robust Control Design with Matlab(r)

Robust Control Design with MATLAB (R) (second edition) helps the student to learn how to use well-developed advanced robust control design;

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Modern Linear Control Design

This book offers a compact introduction to modern linear control design. The simplified overview presented of linear time-domain;

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Modern Linear Control Design

This book offers a compact introduction to modern linear control design. The simplified overview presented of linear time-domain;

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Tracking Control of Linear Systems

. Tracking Control of Linear Systems presents the fundamentals of tracking theory for control systems. The book introduces the full transfer function;

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Tracking Control of Linear Systems

. Tracking Control of Linear Systems presents the fundamentals of tracking theory for control systems. The book introduces the full transfer function;

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Advanced Control Design with Application to Electromechanical Systems

theory and rigorous design for robust control methods. The book provides an overview of the feedback control systems and their associated;

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Attractive Ellipsoids in Robust Control

This monograph introduces a newly developed robust-control design technique for a wide class of continuous-time dynamical systems called;

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Robust Model Predictive Control

without severely compromising optimality. The book should be useful for researchers in the areas of robust predictive control, linear matrix;

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Active Disturbance Rejection Control of Dynamic Systems

Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear;

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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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