Title :
Robust stability of GPC as applied to a first order model with delay
Author :
Banerjee, Pranob ; Shah, Sirish L.
Author_Institution :
Dept. of Chem. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
The proof of robust stability of generalised predictive control (GPC) when applied to a process represented by a first-order model is considered in this paper. The method shows how under certain assumptions, the robustness margin in the presence of model-plant mismatch can be improved by appropriate adjustments of the GPC tuning parameters. These results are derived using a combination of Maple (1981-1990), a symbolic mathprocessor, and standard algebraic methods
Keywords :
autoregressive moving average processes; control system analysis; delays; polynomials; predictive control; robust control; uncertain systems; ARIMAX model; algebraic methods; delay; first order model; generalised predictive control; model-plant mismatch; robust stability; robustness margin; symbolic mathematical processor; tuning parameters; Chemical engineering; Control system synthesis; Delay; Feedback loop; Guidelines; Predictive models; Robust stability; Robustness; Tuning; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.532380
