Intelligent control and adaptive critic artificial neural networks

Process control is the idea of exerting actions on some system in order to generate a desired output. As we develop more complex systems and require that they operate in increasingly unstable environments, we find traditionally designed controllers do not provide the necessary level of control. Intelligent control offers improvements over earlier control designs for controlling systems in noisy, multi-variable, nonlinear environments. A brief history of process control is followed by a survey of current topics in intelligent control, specifically adaptive and learning control. Issues of implementation for four artificial intelligence paradigms--artificial neural networks (ANNs), expert systems, fuzzy logic, and genetic algorithms--as well as hybrid approaches are also covered. The survey helps explain process control and intelligent methods. A chapter is dedicated to some of the difficult subjects in ANN control. Implementation suggestions are proposed.