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Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its application. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2022.12.113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Chang S, Wang Y, Zuo Z. Fixed-time formation-containment control for uncertain multi-agent systems with varying gain extended state observer. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.08.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zhang K, Zhang Y, Li R, Chen G. Sampled-Data-Based Consensus of Multi-agent Systems with Multiplicative Noise and Time-Delays. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Li W, Zhang H, Cai Y, Wang Y. Fully distributed event-triggered bipartite formation tracking for multi-agent systems with multiple leaders and matched uncertainties. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Abstract
The Julia set is one of the most important sets in fractal theory. The previous studies on Julia sets mainly focused on the properties and graph of a single Julia set. In this paper, activated by the consensus of multi-agent systems, the consensus of Julia sets is introduced. Moreover, two types of the consensus of Julia sets are proposed: one is with a leader and the other is with no leaders. Then, controllers are designed to achieve the consensus of Julia sets. The consensus of Julia sets allows multiple different Julia sets to be coupled. In practical applications, the consensus of Julia sets provides a tool to study the consensus of group behaviors depicted by a Julia set. The simulations illustrate the efficacy of these methods.
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