Adaptive control of large-scale nonlinear systems using optimal low-order models

The problem of adaptive control of high-order nonlinear time-varying systems is solved by using low-order linear models to approximate, in a piece-wise optimal manner, the response of the system. Extensive use is made of recent, highly efficient gradient search technique. The theory is illustrated by an application to a nuclear power reactor.