Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks
Affine Transformed IT2 Fuzzy Event-Triggered Control Under Deception Attacks
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DOI：
10.1109/tfuzz.2020.2999779
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发表时间：
2021-02
影响因子：
11.9
通讯作者：
Seungyong Han;S. K. Kommuri;Sangmoon Lee
中科院分区：
文献类型：
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作者：
Seungyong Han;S. K. Kommuri;Sangmoon Lee
研究了网络攻击下二型模糊系统的镇定问题。在实际应用中，一类非线性系统可以通过一组隶属函数表示为一个区间二型模糊系统。与现有方案不同，1）在控制器设计中考虑了仿射隶属函数; 2）提出了一种鲁棒自适应事件触发控制方法，避免了不必要的触发事件，提高了方案的可靠性，降低了稳定性分析的保守性。质量-弹簧-阻尼系统和跟踪控制系统被认为是说明所提出的方法的鲁棒性和有效性。
Stabilization of type-2 fuzzy system in the presence of cyber attacks is investigated in this article. For a practical application, a class of nonlinear system can be represented by an interval type-2 fuzzy system through a set of membership functions. Unlike existing schemes, 1) affine membership functions are considered in the controller design; moreover, 2) a robust adaptive event-triggered control is proposed to avoid the unwanted triggering events, which makes the proposed scheme more reliable and relaxes the conservativeness of stability analysis.In the numerical simulation, the mass–spring–damper system and the tracking control system are considered to illustrate the robustness and effectiveness of the proposed approach.