AN INTELLIGENT CONTROL AND DECISION APPROACH FOR ADAPTIVE SYSTEMS

An intelligent control and decision-making (ICD) approach that integra tes expert systems technology with adaptive algorithms is presented. T he controller parameters of adaptive systems can be determined using h uman expertise and knowledge, and they can also be adjusted based on a ctive monitoring and identification. Decision-making, fine tuning and inexact reasoning provide the end-user and the control engineers with a natural and integrated methodology for use with intelligent control systems. Computer simulation results demonstrate the utility of the pr oposed technique that is an effective intelligent control and decision approach. The ICD system is implemented using a Lisp based expert sys tem shell on an IBM PC.