智慧型控制

臺北科技大學 115-1 學期課程，課號 366226。

課程大綱

1 Introduction 2 Application of artificial neural networks (ANN) 2-1 ANN fundamentals 2-2 Neur-control 3 Fuzzy logic control 3-1 Fuzzy logic basics 3-2 Application of Fuzzy Control 4 Genetic algorithms 4-1 Preliminarg 4-2 Tuning of Controllers using genetic algorithms

課程進度

Week 1: Course Overview, Introduction to Intelligent Control Week 2: Fuzzy Logic Control Week 3: Fuzzy Logic and Approximate Reasoning Week 4: Fuzzy Logic Control System Week 5: Artificial Neural Networks Week 6: Feedforward Neural Networks and Supervised Learning Week 7: Recurrent Neural Networks and Supervised Learning Week 8: Self-organized Neural Networks Week 9: Midterm Exam Week 10: Advanced Intelligent Control Week 11: Genetic Algorithm Week 12: Integrating Fuzzy Systems and Neural Networks Week 13: Lyapunov Stability and Intelligent Control Systems Week 14: Applications of Fuzzy and Neural Networks in Control Week 15: Applications of Fuzzy and Neural Networks in Control Week 16: Final Report

評量方式

Attendance/learning attitude 10% Computer simulation home works 15% Midterm examination 35% Final report and presentation in English 20% 17~18Weeks: 書面簡報20%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 1. M. Negnevitsky, Artificial Intelligence. Addison Wesley, 2002 2. C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems. Prentice-Hall, 1996 3. Related intelligent control method papers 4. Self-made PPT