Methods and Applications of Intelligent Control

摘要: Preface. Part I: Intelligent Control Surveys. 1. Introduction: Overview of Controls S.G. Tzafestas. 2. Fuzzy and Neural Control: Basic Principles Architectures Tzafestas, C.S. 3. Using Artificial Networks Logic - Recent Trends Industrial Applications A. Zilouchian, et al. 4. Robotic Manipulators A Survey P. Gupta, N.K. Sinha. 2: Methods. 5. Process with Supervisory Knowledge-Based Systems S.J. Kendra, 6. Model Based Predictive Controller C. Batur, 7. Adaptive Versus Model-Reference Mutable Processes I. Skrjanc, D. Matko. 8. Supervision on Petri Nets G.K.H. Pang, 9. Off-Line Verification an V.S. Alagar, K. Periyasamy. 10. Neurofuzzy Estimators Multisensor Data Fusion C.J. Harris, 11. Linguistic Communication Channels W. Pedrycz. 3: Applications. 12. Human-Machine G. Johannsen, 13. for a Acrobat S.C. Brown, K.M. Passino. 14. Learning Z. Ahmad, Guez. 15. Evolutionary Algorithms Automatic Robot Trajectory Generation B.H. Xu, 16. Application Techniques inAdvanced AGC Liu, 17. Manufacturing Design Deadlock Avoidance Matrix Discrete Event F.L. Lewis, 18. Adaptive, Model-Based Predictive, the Welding Biographies Contributors. Index.