Title :
The theory and design of adaptive internal model control schemes
Author :
Datta, Aniruddha ; Xing, Lei
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
Develops a systematic theory for the design and analysis of adaptive internal model control schemes. The ubiquitous certainty equivalence principle of adaptive control is used to combine a robust adaptive law with robust internal model controllers to obtain adaptive internal model control schemes with provable guarantees of stability and robustness. Specific controller structures considered include those of the model reference, “partial” pole placement, and H2 and H∞ optimal control types. The results here not only provide a theoretical basis for analytically justifying some of the reported industrial adaptive internal model control schemes but also open up the possibility of synthesizing new ones by simply combining a robust adaptive law with a robust internal model controller structure
Keywords :
H∞ control; adaptive control; control system analysis; control system synthesis; pole assignment; process control; robust control; H∞ optimal control; H2 control; adaptive internal model control schemes; certainty equivalence principle; model reference partial pole placement; robust adaptive law; stability; Adaptation model; Adaptive control; Error correction; Industrial control; Open loop systems; Optimal control; Process control; Programmable control; Robust control; Robust stability;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703301