Adaptive control of linear unstable and nonminimal-phase systems

The problem of controlling a range of linear sampled data processes with unknown parameters is considered for the most general case, including both unstable and nonmieimal phase processes. The process is assumed subjected to an unmonitorable limited disturbance. A game approach leads to an adaptive (in the sense of definitions introduced) control system for this range of processes which relies on multiple estimates of unknown parameters. The effectiveness of the method is illustrated.