Title :
Data-driven model free adaptive control for a class of interconnected systems
Author :
Zhu, Yuanming ; Qian, Feng ; Hou, Zhongsheng ; Jin, Shangtai
Author_Institution :
Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
fDate :
May 31 2015-June 3 2015
Abstract :
This paper recalls a novel data-driven model-free adaptive control (MFAC) method for a class of interconnected discrete-time nonlinear systems, whose model is unavailable and interactions between each subsystem are measurable. Then, under some mild conditions, stability of the closed-loop system is analyzed theoretically. Compared with original MFAC, the proposed MFAC for interconnected systems belongs to decentralized control method, and makes full use of the interacted data to achieve better performance. The effectiveness and superiority are verified by simulation result.
Keywords :
Adaptation models; Data models; Decentralized control; Interconnected systems; Nonlinear dynamical systems; Stability analysis; Data-driven Control; Interconnected System; Model Free Adaptive Control;
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
DOI :
10.1109/ASCC.2015.7244891
