Title :
Averaging analysis of adaptive control algorithms
Author :
Phillips, Stephen M. ; Kosut, Robert L. ; Franklin, Gene F.
Author_Institution :
Dept. of Electr. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
The method of averaging is used to analyze discrete-time indirect adaptive control. The analysis focuses on various prediction-error-driven indentification algorithms coupled with a general linear control law. The plant is not required to be in the model set of the identifier, which accounts for systems with unmodeled plant dynamics. Exogenous input signals including known command signals and unknown disturbances are also included. Both gradient and Newton-based algorithms are considered
Keywords :
adaptive control; control system analysis; discrete time systems; Newton-based algorithms; averaging analysis; command signals; discrete-time systems; exogenous input signals; gradient algorithms; indirect adaptive control; linear control law; prediction-error-driven indentification algorithms; unknown disturbances; unmodeled plant dynamics; Adaptive control; Algorithm design and analysis; Closed loop systems; Control systems; Filters; Parameter estimation; Programmable control; Stability; Transfer functions; Vectors;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194676
