Self-tuning Control for Two-dimensional Processes (UMIST Control Systems Centre)

Despite the complexity of two-dimensional systems theory, Heath demonstrates how simple algorithms can be achieved via a solution of a specific Diophantine equation. Develops least squares optimal prediction, minimum variance control and generalized minimum variance control algorithms for two-dimensional CARMA processes. Introduces a forgetting strategy that forgets in two dimensions. Considers the problems of setpoint tracking and offset handling for self-tuning controllers.