Title :
Cerebellar Model Articulation Controller Simple Adaptive Control
Author_Institution :
Qingdao Univ. of Sci. & Technol., Qingdao
Abstract :
Combined cerebellar model articulation controller neural network with simple adaptive control, a kind of new control method, cerebellar model articulation controller simple adaptive control is proposed, structures and learning algorithms of this control method are derived in this paper. In the design, fast learning of cerebellar model articulation controller neural network and simple structure of simple adaptive control are combined. The simulation results show that the proposed method has fine accuracy, dynamic performance and robustness, and it is feasible and effective to be used to control high-order linear systems and nonlinear systems.
Keywords :
adaptive control; cerebellar model arithmetic computers; neurocontrollers; nonlinear control systems; cerebellar model articulation controller; neural network; nonlinear system; simple adaptive control; Adaptive control; Automation; Control system synthesis; Control systems; Linear systems; Mechatronics; Neural networks; Nonlinear control systems; Nonlinear systems; Robust control; Cerebellar Model Articulation Controller; Simple Adaptive Control; controller; learning algorithm; neural network;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303923