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      Observer-Based Event-Triggered Circle Formation Control for First- and Second-Order Multiagent Systems

      1 , 1 , 2 , 3 , 4 , 2 , 5 , 1 , 4 , 5
      Complexity
      Hindawi Limited

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          Abstract

          This paper proposes an observer-based event-triggered algorithm to solve circle formation control problems for both first- and second-order multiagent systems, where the communication topology is modeled by a spanning tree-based directed graph with limited resources. In particular, the observation-based event-triggering mechanism is used to reduce the update frequency of the controller, and the triggering time depends on the norm of the state function and the trigger threshold of measurement errors. The analysis shows that sufficient conditions are established for achieving the desired circle formation, while there exists at least one agent for which the next interevent interval is strictly positive. Numerical simulations of both first- and second-order multiagent systems are also given to demonstrate the effectiveness of the proposed control laws.

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          Most cited references24

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          Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

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            A survey of multi-agent formation control

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              Event-based broadcasting for multi-agent average consensus

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                Author and article information

                Journal
                Complexity
                Complexity
                Hindawi Limited
                1076-2787
                1099-0526
                March 24 2020
                March 24 2020
                : 2020
                : 1-12
                Affiliations
                [1 ]Marine Engineering College, Dalian Maritime University, Dalian 116026, China
                [2 ]The State Key Laboratory of Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, College of Engineering, Peking University, Beijing 100871, China
                [3 ]Institute of Ocean Research, Peking University, Beijing 100871, China
                [4 ]Peng Cheng Laboratory, Shenzhen 518000, China
                [5 ]Department of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland
                Article
                10.1155/2020/4715315
                64607601-c707-4405-9c3e-465ff470c112
                © 2020

                http://creativecommons.org/licenses/by/4.0/

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