Title :
Adaptive model algorithmic control
Author :
Xing, Lei ; Datta, Aniruddha
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
Considers the design and analysis of a robust adaptive model algorithmic controller based on the internal model control structure. The certainty equivalence principle of adaptive control is used to combine a discrete-time robust adaptive law with a model algorithmic internal model controller to obtain an adaptive model algorithmic internal model control scheme with provable guarantees of stability and robustness. The approach used parallels the earlier results obtained for adaptive internal model control. Nevertheless, there are some important differences which, together with the widespread interest in model algorithmic control, justifies a separate exposition
Keywords :
adaptive control; control system analysis; control system synthesis; discrete time systems; predictive control; robust control; adaptive model algorithmic control; certainty equivalence design; discrete-time robust adaptive law; internal model control; robustness; Adaptive control; Algorithm design and analysis; Constraint optimization; Context modeling; Error correction; Predictive models; Process design; Programmable control; Robust control; Robust stability;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945627