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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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Fuzzy Controller Design

theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory;

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

, using MATLAB (R) Simulink (R) software. It includes discussions on the performance of each configuration, as well as the advantages and;

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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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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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Robust Control Design with Matlab(r)

systems in Simulink (R); and * a solutions manual available free of charge to those adopting Robust Control Design with MATLAB (R) as a textbook;

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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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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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Computational Intelligence

the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB(R) exercises and applications in each chapter;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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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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Optical Fiber Communication Systems with MATLAB(R) and Simulink(r) Models, Second Edition

Carefully structured to instill practical knowledge of fundamental issues, Optical Fiber Communication Systems with MATLAB (R) and Simulink;

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PID Control System Design and Automatic Tuning using MATLAB/Simulink

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

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Modeling of Digital Communication Systems Using SIMULINK

Communications Modeling of Digital Communication Systems Using SIMULINK(R) introduces the reader to SIMULINK(R), an extension of the widely-used MATLAB;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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Analysis and Synthesis of Fuzzy Control Systems

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great;

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GridIntegrated and Standalone Photovoltaic Distributed Generation Systems

) generation systems, with Matlab and Simulink models Analyses control of distribution networks with high penetration of PV systems and;

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Real-Time and Distributed Real-Time Systems

control protocol/internet protocol (TCP/IP) Depicts the design of distributed real-time systems applications using methodology based on a finite;

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Multi-Sensor Data Fusion With MATLAB

Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;

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Modeling, Simulation and Control of Electrical Drives

machines. The book provides a framework of different modeling and control algorithms using MATLAB (R)Simulink (R), and presents design, simulation;

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High Performance Control of AC Drives with Matlab/ Simulink, 2nd Edition

High Performance Control of AC Drives with Matlab (R)Simulink Explore this indispensable update to a popular graduate text on electric;

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Sliding-Mode Fuzzy Controllers

including MATLAB (R) and Simulink (R) codes illustrating the simulation of these controllers, particularly the adaptive controllers; * a short;

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Fuzzy Logic Speed Controllers Using FPGA Technique

MATLABSIMULINK (R2009a) with varying load and speed conditions. The Fuzzy-PID control strategy outperformed both PID and Fuzzy controllers. This;

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Digital Integrated Circuits

A current trend in digital design-the integration of the MATLAB (R) components Simulink (R) and Stateflow (R) for model building;

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Power Electronics with MATLAB

valuable reference for readers. The experiments and applications based on MATLAB (R) models using fuzzy logic and neural networks are included for;

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