description: 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.
language: English
title: Self-Tuning Control for Two-Dimensional Processes
titlecomplete: Self-Tuning Control for Two-Dimensional Processes (Research Studies Press UMIST Control Systems Centre Series)
publisher: *Research Studies Press