Advances In Intelligent Control

Part One: Neural Networks in Intelligent Control 1. Neural Networks for Modeling and Control - A Review 2. Neural Net Computing and Intelligent Control of Systems 3. Neural Networks for Non-linear Dynamic System Modeling and Identification 4. Learning Control with Interpolating Memories 5. ASMOD - an Algorithm for Adaptive Spline Modeling of Observational Data 6. Adaptive Control on Nonlinear Systems 7. Neural Network Based Predictive Control. Part Two: Fuzzy Logic Control 8. Aspects of Fuzzy Logic Control and Estimation - A Review 9. Hierarchical Fuzzy Control 10. Unified Real Time Approximate Reasoning 11. Indirect Adaptive Fuzzy Logic Control 12. Adaptive Expert Systems 13. Neural Network Based Approximate Reasoning: Principles and Interpretation 14. Self-organizing Control Using Fuzzy Neural Networks