Title :
The stability analysis of module blending architecture in brain motor control
Author :
Matsuure, Y. ; Kimura, Hidenori
Author_Institution :
Dept. of Complexity Sci. & Eng., Univ. of Tokyo, Japan
Abstract :
In this paper, we deal with a stabilization problem for a type of blending control system, which originated from studies of brain motor control. In our approach, the feedback controller has a module structure with softmax blending. The controller is composed of multiple modules, each of which consists of a state predictor and a controller, and the weights of blending are given by the softmax function of the prediction error from each module. We establish exponential stability of our system based on theory of slowly time-varying systems
Keywords :
asymptotic stability; biocontrol; control system analysis; feedback; predictive control; time-varying systems; blending control system; brain motor control; exponential stability; feedback controller; module blending architecture; prediction error; slowly time-varying systems; softmax blending; softmax function; stability analysis; state predictor; Adaptive control; Control systems; Control theory; Error correction; Humans; Motor drives; Stability analysis; Time varying systems; Uncertainty; Weight control;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980058
