Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/85434

Fuzzy Iterative Learning Control for Batch Processes with Interval Time-Varying Delays

Authors Wang, Limin
Zhu, Chengjie
Yu, Jingxian
Ping, Li
Zhang, Ridong HKUST affiliated (currently or previously)
Gao, Furong View this author's profile
Issue Date 2017
Source Industrial and Engineering Chemistry Research , v. 56, (14), April 2017, p. 3993-4001
Summary In this paper, a T-S model-based fuzzy delay-range dependent iterative learning control (ILC) scheme is developed for highly nonlinear batch processes with interval time-varying delays. The two-dimensional (2D) T-S time-delay model is constructed to remedy the disadvantage that the overall linear model cannot sufficiently describe the nonlinear batch process. Then, exploiting the repetitive nature of batch processes, a 2D fuzzy delay-range dependent iterative learning control is designed. The delay-range-dependent stabilization problem and H-infinity control are studied by using 2D Lyapunov function under a 2D system framework. At the same time, the controller gain design is given and its gain can be obtained in terms of LMIs. A water tank is taken as a simulation case to demonstrate the effectiveness of the proposed fuzzy iterative learning control scheme.
ISSN 0888-5885
Language English
Format Article
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