Event-based output tracking control for fuzzy networked control systems with network-induced delays

Yingnan Pan and Guang-Hong Yang

Applied Mathematics and Computation, 2019, vol. 346, issue C, 513-530

Abstract: 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.

Keywords: Interval type-2 fuzzy systems; Output tracking control; Time-varying delays; Event-based control mechanism (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:346:y:2019:i:c:p:513-530

DOI: 10.1016/j.amc.2018.10.038

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