A Real-Time Expert System Capable of On-Line Automatically Learning Regulation Gains

By imitating the heuristic process where an expert settles the regulation gains, an expert-like real-time on-line self-learning algorithm for the regulation gains was developed, which is a real-time expert system. The fundamentals of this algorithm were presented with detailed description of its designing procedure. Finally, the performance demonstration of the system was carried out on computer.