Intelligent control of dynamical systems. I. Robust identification and control of linear time-varying systems


The authors propose an artificial-intelligence-based design procedure which addresses the following robust adaptive stabilization problem: given the inputs and outputs of an unknown time-varying system, construct a family of plants one of which is the true system, and obtain a simultaneous stabilizer for the above family. The procedure consists of replacing the classical plant/compensator control loop by a higher level control system consisting of three collaborating expert systems. The procedure is robust, since it utilizes a simultaneous design scheme with a simultaneous identifier. From the point of view of computation, a heuristic scheme is designed, and an admissible heuristic is constructed even for a tree with time-varying cost functions.
Published in: Proceedings of the 27th IEEE Conference on Decision and Control
Date of Conference: 07-09 December 1988
Date Added to IEEE Xplore06 August 2002
DOI: 10.1109/CDC.1988.194641
Conference Location: Austin, TX, USA