Title :
Model-Free Adaptive Control with Contractive Constraints for Nonlinear Systems
Author :
Yancun Leng ; Hongxin Li ; Pu Wang ; Zhaohui Qiao
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
In this paper, a new control scheme named model-free adaptive control with contractive constraints (MFAC-CC) is proposed based on compact form dynamic linearization (CFDL) for a class of nonlinear systems. In this strategy, contractive constraints are added into the model-free adaptive control (MFAC) algorithm, which lead to the tracking error decaying gradually. A numerical comparison experiment between the MFAC-CC and MFAC verifies the good tracking performance of the new control scheme.
Keywords :
adaptive control; control system synthesis; nonlinear control systems; CFDL; MFAC-CC; compact form dynamic linearization; controller design; model-free adaptive control with contractive constraints; nonlinear systems; Adaptation models; Adaptive control; Data models; Mathematical model; Nonlinear dynamical systems; Vectors; compact form dynamic linearization; contractive constraints; model-free adaptive control; tracking error;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.171
