Control of Nonlinear Systems Using Multiple Model Black-Box Identification

The paper is devoted to development of control algorithms for nonlinear paramet-rically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algorithm for local models' parameters estimation and structure adjustment has been developed. Proposed approach allows straightforward designing of the combined feedforward/feedback controller.