Journal
APPLIED MATHEMATICS AND COMPUTATION
Volume 346, Issue -, Pages 513-530Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2018.10.038
Keywords
Interval type-2 fuzzy systems; Output tracking control; Time-varying delays; Event-based control mechanism
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Funding
- Funds of the National Natural Science Foundation of China [61621004, 61420106016]
- Fundamental Research Funds for the Central Universities [N160406003]
- Research Fund of State Key Laboratory of Synthetical Automation for Process Industries [2018ZCX03]
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This paper investigates the problem of event-based output tracking control with network-induced time-varying delays for nonlinear networked control systems (NCSs) approximated by interval type-2 (IT2) fuzzy systems. The membership functions (MFs) with upper and lower bounds are utilized to capture the uncertainties in the nonlinear systems. A novel IT2 fuzzy controller is designed, where the premise variables and MFs are asynchronous and different from those of the fuzzy systems. It is shown that the proposed adaptive event-based control mechanism for IT2 fuzzy NCSs is effective to reduce the utilization of limited network resources. Finally, simulation examples are applied to show the advantages of the presented approach. (C) 2018 Elsevier Inc. All rights reserved.
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