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Simple adaptive control of uncertain systems
Author(s) -
BarKana Izhak,
Kaufman Howard
Publication year - 1988
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480020206
Subject(s) - adaptive control , control theory (sociology) , robustness (evolution) , simple (philosophy) , computer science , robust control , control engineering , controller (irrigation) , reference model , control system , control (management) , engineering , artificial intelligence , agronomy , biochemistry , chemistry , philosophy , software engineering , epistemology , biology , electrical engineering , gene
This paper considers adaptive control of various systems with unknown time‐varying or non‐linear dynamics in an attempt to show that practical adaptive control can be simple and robust. The simplified adaptive control methodology used is based on the observation that most real‐world systems, even non‐stationary or non‐linear, can be stabilized by simple controller configurations. More complex controllers may be needed only in order to improve the performance of the control systems. In the adaptive scheme, the stabilizability properties of the plants are used only to satisfy the necessary conditions that guarantee robustness of simple adaptive controllers. The desired performance is then imposed upon the plant by these adaptive controllers, which force the plant to follow the input‐output behaviour of low‐order reference models. Examples from the recent literature of control with uncertainty are used to illustrate the power of these adaptive techniques.