Proposed Real Time Performance Evaluation of Two Types of Adaptive Neural Network Controllers 2004-01-3132
This paper addresses the problem of real time assessment or evaluation of an adaptive neural network controller performance. Complex control systems require robust controllers that handle a large variety of operating conditions. In these circumstances controllers must be adaptive or robust with respect to inaccurate plant models and changes in the plant dynamics. One of the major difficulties in adaptive controller is proof of stability of the update mechanism. In the case where a conventional controller is available it is convenient to toggle it based on controller performance. This paper presents a proposed approach to evaluate the performance of an adaptive sigma pi neural network controller.