Fuzzy Control Systems

Hardcover | 23 April 2012

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Recently, the fuzzy logic-based technique has received attention world-wide and has been becoming an emerging area with significant application possibilities. Fuzzy control theory is a combination of the fuzzy theory and the control system theory. It is a practical alternative for a variety of challenging control applications since it provides methods for designing non-linear controllers by the use of heuristic information. Fuzzy logic problems deal with situations that may have several reasonable solutions. The objective is to find the best of these possible solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems. This book presents modern scientific knowledge in fuzzy logic control theory.

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Preface	p. vii
Generalized Learning-Based Fuzzy Environment Model	p. 1
Fuzzy Network Control Systems based upon a Real-time Implementation	p. 25
Application of Fuzzy Control to System Dynamics Modelling	p. 49
Fuzzy Decision Support Simulation System for Inventory Control with Stochastic Lead Time and Demand	p. 73
Fuzzy Control System for Obstacle Detection in 3d Tracking	p. 95
Fuzzy State-Feedback Control Design for Switching DC-DC Converters with Pole-Placement Constraints	p. 117
Fuzzy Controllers Using Hedge Algebra Based Semantics of Vague Linguistic Terms	p. 135
Hybrid Fuzzy Model in Model Predictive Control for a Class of Hybrid Nonlinear Systems	p. 193
Optimizing the Scaling Factors of Self-Organizing Fuzzy Logic Controller Using Genetic Algorithm	p. 229
Improve Prediction Accuracy of Your Fuzzy Systems: A Simulated Annealing Approach	p. 241
An Application of Stochastic H∞ Regulation Control to HTV Therapy	p. 265
Robust Stability Analysis of Control System with Fuzzy Parameters	p. 293
Index	p. 329
Table of Contents provided by Ingram. All Rights Reserved.

Fuzzy Control Systems

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Fuzzy Logic

An Introductory Text

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