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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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Sliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB;

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Robust Motion Control of Oscillatory Base Manipulators

This book provides readers with alternative robust approaches to control design for an important class of systems characteristically;

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Modeling Uncertainties in DC-DC Converters with MATLAB (R) and PLECS (R)

errors will be called an uncertainty model. Successful robust control-system design would depend on, to a certain extent, an appropriate;

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Modeling Uncertainties in DC-DC Converters with MATLAB (R) and PLECS (R)

errors will be called an uncertainty model. Successful robust control-system design would depend on, to a certain extent, an appropriate;

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Modeling Uncertainties in DC-DC Converters with MATLAB (R) and PLECS (R)

errors will be called an uncertainty model. Successful robust control-system design would depend on, to a certain extent, an appropriate;

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Digital Control Applications Illustrated with MATLAB

Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;

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Advanced Control Design with Application to Electromechanical Systems

Advanced Control Design with Application to Electromechanical Systems represents the continuing effort in the pursuit of analytic;

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Linear Feedback Control

Discusses analysis and design techniques for linear feedback control systems using MATLAB(R) software. By reducing the mathematics;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can;

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Reverse Engineering in Control Design

Reverse Engineering in Control Design proposes practical approaches to building a standard H-infinity problem taking into account an;

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Digital Control Applications

Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;

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Eigenstructure Assignment for Control System Design

-input multi-output control system design. Features include: Introduction to the Eigenstructure Assignment Toolbox for use with MATLAB (examples;

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Computer-Aided Control Systems Design

Computer-Aided Control Systems Design: Practical Applications Using MATLAB (R) and Simulink (R) supplies a solid foundation in applied;

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Computer-Aided Control Systems Design

Computer-Aided Control Systems Design: Practical Applications Using MATLAB (R) and Simulink (R) supplies a solid foundation in applied;

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Basic Tutorial on Simulation of Microgrids Control Using MATLAB (R) & Simulink (R) Software

This book offers a detailed guide to the design and simulation of basic control methods applied to microgrids in various operating modes;

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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

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

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Linear Control System Analysis And Design With Matlab

packed with student-friendly features, the sixth edition presents a range of updated examples using MATLAB (R), as well as an appendix listing;

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Mechatronics with Experiments

machines and processes. * Covers embedded microcontroller based design of machines * Includes MATLAB(R)/Simulink(R)-based embedded control software;

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Design of Feedback Control Systems

Ideal for junior/senior level control systems courses, this new edition of Design of Feedback Control covers control systems for electrical;

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MATLAB for Control Engineers

) materials needed to solve many analysis and design problems associated with control systems. In this new text, Ogata complements a large number;

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Control Systems

, and adaptive neuro control. Numerical coverage with MATLAB (R) is integrated, and numerous examples and exercises are included for each;

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Fuzzy Controller Design

. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB (R)/SIMULINK (R), from which newcomers to the;

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Lmis in Control Systems

Provides a brief and clear introduction to the use of the LMI Lab in the MATLAB (R) Robust Control Toolbox Supplies detailed proofs for all main;

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PID Control System Design and Automatic Tuning using MATLAB/Simulink

scheduled control. PID Control System Design and Automatic Tuning using MATLAB/Simulink introduces PID control system structures, sensitivity;

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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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