Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers

This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel distributed reduced-order observer to estimate unknown states f...

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Vydáno v:	IEEE transactions on fuzzy systems Ročník 29; číslo 6; s. 1601 - 1614
Hlavní autoři:	Liang, Hongjing, Guo, Xiyue, Pan, Yingnan, Huang, Tingwen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Bipartite tracking control Control systems Directed graphs distributed reduced-order observer Feedback control Fuzzy control Fuzzy logic fuzzy logic systems (FLS) Fuzzy systems Multi-agent systems Multiagent systems network systems Nonlinear systems Observers Stochastic processes Stochastic systems Tracking control Tracking errors
ISSN:	1063-6706, 1941-0034
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel distributed reduced-order observer to estimate unknown states for the stochastic nonlinear systems. Then, an event-triggered mechanism with relative threshold is introduced to reduce the burden of communication. In addition, the bipartite tracking controller is proposed for stochastic multiagent systems by using fuzzy logic systems and the backstepping approach. Meanwhile, it is proved that the designed method can guarantee that all the signals in the closed-loop systems are bounded in probability, and the distributed consensus tracking errors can converge to a small neighborhood of the origin via the Lyapunov stability theory. Finally, a simulation example is given to prove the effectiveness of the designed scheme.
AbstractList	This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel distributed reduced-order observer to estimate unknown states for the stochastic nonlinear systems. Then, an event-triggered mechanism with relative threshold is introduced to reduce the burden of communication. In addition, the bipartite tracking controller is proposed for stochastic multiagent systems by using fuzzy logic systems and the backstepping approach. Meanwhile, it is proved that the designed method can guarantee that all the signals in the closed-loop systems are bounded in probability, and the distributed consensus tracking errors can converge to a small neighborhood of the origin via the Lyapunov stability theory. Finally, a simulation example is given to prove the effectiveness of the designed scheme.
Author	Liang, Hongjing Pan, Yingnan Huang, Tingwen Guo, Xiyue
Author_xml	– sequence: 1 givenname: Hongjing orcidid: 0000-0003-1480-1872 surname: Liang fullname: Liang, Hongjing email: lianghongjing99@163.com organization: College of Engineering, Bohai University, Jinzhou, China – sequence: 2 givenname: Xiyue orcidid: 0000-0003-4961-7442 surname: Guo fullname: Guo, Xiyue email: guoxiyue2018@163.com organization: College of Engineering, Bohai University, Jinzhou, China – sequence: 3 givenname: Yingnan orcidid: 0000-0002-7603-4333 surname: Pan fullname: Pan, Yingnan email: panyingnan0803@gmail.com organization: College of Engineering, Bohai University, Jinzhou, China – sequence: 4 givenname: Tingwen orcidid: 0000-0001-9610-846X surname: Huang fullname: Huang, Tingwen email: tingwen.huang@qatar.tamu.edu organization: Science Program, Texas A&M University, Doha, Qatar
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Snippet	This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input...
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SubjectTerms	Bipartite tracking control Control systems Directed graphs distributed reduced-order observer Feedback control Fuzzy control Fuzzy logic fuzzy logic systems (FLS) Fuzzy systems Multi-agent systems Multiagent systems network systems Nonlinear systems Observers Stochastic processes Stochastic systems Tracking control Tracking errors
Title	Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers
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