2018
DOI: 10.1109/tfuzz.2017.2744599
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Asynchronous Piecewise Output-Feedback Control for Large-Scale Fuzzy Systems via Distributed Event-Triggering Schemes

Abstract: Abstract-This paper examines the problem of distributed event-triggering output-feedback control for discrete-time largescale fuzzy systems in the network scenario. A novel distributed event-triggering control scheme is proposed, where each subsystem transmits its output information and premise variables only when its local output error exceeds a specified threshold. The resulting closed-loop fuzzy control system subject to nonsynchronous grades of membership, is explored under such circumstances. In virtue of… Show more

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Cited by 35 publications
(8 citation statements)
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“…As for the control of nonlinear systems, there are many control strategies (Zhong and Zhu, 2017; Chen et al, 2018; Fu et al, 2018; Zhong et al, 2018a,b; Zhu et al, 2018). Recently, sliding mode control (SMC) has attracted the interest of many researchers due to its powerful approach for nonlinear systems and incompletely modeled systems (Su et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…As for the control of nonlinear systems, there are many control strategies (Zhong and Zhu, 2017; Chen et al, 2018; Fu et al, 2018; Zhong et al, 2018a,b; Zhu et al, 2018). Recently, sliding mode control (SMC) has attracted the interest of many researchers due to its powerful approach for nonlinear systems and incompletely modeled systems (Su et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…If the triggered condition is not satisfied, they are asynchronous. More recently, the premise variables with the PETC scheme was considered in Zhong and Zhu (2017, 2018), Zhong et al (2018). More specifically, the work of Zhong et al (2018) proposed a decentralized event-triggered mechanism for a class of large-scale networked fuzzy systems.…”
Section: Introductionmentioning
confidence: 99%
“…More specifically, the work of Zhong et al (2018) proposed a decentralized event-triggered mechanism for a class of large-scale networked fuzzy systems. The work in Zhong and Zhu (2018) introduced the asynchronous distributed event-triggered output-feedback controller to stabilize large-scale fuzzy systems. A distributed event-triggered controller was designed in Zhong and Zhu (2017) under a two-channel network.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, T-S fuzzy systems has been an effective method to analyze and synthesize nonlinear systems, because of the fact that the T-S fuzzy model is able to transform a complex nonlinear system into several simple linear systems with membership functions, approximating the nonlinear function smoothly with an arbitrary precision in the closed set space, which is ubiquitous in chemical processes, robotics systems, and automatic systems (Tanaka and Wang, 2004). Thus, many results on T-S fuzzy systems, analyzing nonlinear systems, have been reported in terms of various methods, including stability analysis (Lam et al, 2007; Zhao et al, 2009; Zhu et al, 2012, 2018a), controller design (Xia et al, 2010; Wu et al, 2014a,b, 2015; Liu et al, 2016; Wang et al, 2018a; Zhong et al, 2018; Zhao et al, 2019), and fault detection and filter design (Li et al, 2015; Wang et al, 2016, 2017, 2018b; Zhu et al, 2018b), etc.…”
Section: Introductionmentioning
confidence: 99%