Title :
Further results on feedback error learning control: Partially known plant and general response model
Author :
Sugimoto, Kenji ; Noguchi, Makoto
Author_Institution :
Grad Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Keihanna Science City, Japan
Abstract :
Much attention has been paid recently to control-theoretic research on what is called feedback error learning (FEL). This paper provides yet another FEL control scheme, which generalizes existing ones in two points: i) It can treat a plant which is the product of known and unknown transfer matrices, and thereby reduces the number of parameters to be learned. ii) The response model is less restrictive, due to a general two-degree-of-freedom structure. Numerical simulation illustrates the effectiveness of the proposed scheme.
Keywords :
control system synthesis; feedback; learning (artificial intelligence); matrix algebra; neurocontrollers; FEL control scheme; feedback error learning control; general response model; numerical simulation; partially known plant; transfer matrices; Adaptation model; Biological system modeling; Control systems; Manipulator dynamics; Numerical simulation; Polynomials;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717775