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Fuzzy Control Systems
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Editors: Dinko Vukadinovic (University of Split, Croatia)
Book Description:
Recently, the fuzzy logic-based technique has received attention worldwide 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 nonlinear 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. (Imprint: Nova)

Table of Contents:
Chapter 1. Generalized Learning-Based Fuzzy Environment Model;pp. 1-24
(Fusaomi Nagata, Keigo Watanabe, Tokyo University of Science, Yamaguchi, Japan and others)

Chapter 2. Fuzzy Network Control Systems based upon a Real-time Implementation;pp. 25-48
(Hector Benitez-Perez, Antonio Menendez Leonel de Cervantez, E. Mandez-Monroy, J. Ortega-Arjona, O. Esquivel-Flores, Universidad Nacional Autonoma, de Mexico and others)

Chapter 3. Application of Fuzzy Control to System Dynamics Modelling;pp. 49-71
(P.L. Kunsch, Vrije Universiteit Brussel, Belgium)

Chapter 4. Fuzzy Decision Support Simulation System for Inventory Control with Stochastic Lead Time and Demand;pp. 73-94
(Davorin Kofjac, Miroljub Klajic, University of Maribor, Kranj,Slovenia

Chapter 5. Fuzzy Control System for Obstacle Detection in 3D Tracking;pp. 95-116
(E. Parrilla, J. Riera, J.R. Torregrosa, J.L. Hueso, Institute for Multidisciplinary Mathematics, Universitat Politecnica de Valencia)

Chapter 6. Fuzzy State-Feedback Control Design for Switching DC-DC Converters with Pole-Placement Constraints;pp. 117-133
(H.F. Ho, K.W.E. Cheng, The Hong Kong Polytechnic University, Hong Kong, China)

Chapter 7. Fuzzy Controllers Using Hedge Algebra Based Semantics of Vague Linguistic Terms;pp. 135-192
(Cat Ho Nguyen, Dong Anh Nguyen, Nhu Lan Vu, Vietnam Academy of Science and Technology, Hanoi, Vietnam and others)

Chapter 8. Hybrid Fuzzy Model in Model Predictive Control for a Class of Hybrid Nonlinear Systems;pp. 193-228
(Gorazd Karer, Igor Skrjanc, Borut Zupancic, University of Ljubljana, Slovenia)

Chapter 9. Optimizing the Scaling Factors of Self-Organizing Fuzzy Logic Controller Using Genetic Algorithm;pp. 229-240
(J.-S. Shieh, M.F. Abbod, Y.-J. Lin, S.Z. Fan, Yuan Ze University, Taiwan and others)

Chapter 10. Improve Prediction Accuracy of Your Fuzzy Systems: A Simulated Annealing Approach;pp. 241-263
(Asif Iqbal, G. Hussain, Eastern Mediterranean University, North Cyprus, Turkey and others)

Chapter 11. An Application of Stochastic H Regulation Control to HIV Therapy;pp. 265-291
(B.-S. Chen, C.-F. Wu, B.-K. Lee, National Tsing Hua University, Hsinchu, Taiwan and others)

Chapter 12. Robust Stability Analysis of Control System with Fuzzy Parameters;pp. 293-328
(Le Hung Lan, University of Transport and Communications, Hanoi, Vietnam)

Index

   Series:
      Mathematics Research Developments
   Binding: Hardcover
   Pub. Date: 2012-March
   Pages: 7 x 10 (NBC - C) 334pp.
   ISBN: 978-1-61324-488-3
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Fuzzy Control Systems