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Fuzzy Adaptive Two-Bit-Triggered Control for a Class of Uncertain Nonlinear Systems With Actuator Failures and Dead-Zone Constraint
IEEE Transactions on Cybernetics ( IF 9.4 ) Pub Date : 2-26-2020 , DOI: 10.1109/tcyb.2020.2970736
Chunliang Zhang , Zicong Chen , Jianhui Wang , Zhi Liu , C. L. Philip Chen

This article investigates a fuzzy adaptive two-bit-triggered control for uncertain nonlinear systems with actuator failures and dead-zone constraint. Actuator failures and dead-zone constraint exist frequently in practical systems, which will affect the system performance greatly. Based on the improved fuzzy-logic systems (FLSs), a fuzzy adaptive compensation control is established to address these issues. The approximation error is introduced to the control design as a time-varying function. In addition, for the limited transmission resources of the practical system, a two-bit-triggered control mechanism is proposed to further save system transmission resources. It is proved that the proposed method can guarantee the system tracking performance and all the signals are bounded. Its effectiveness is verified by the simulation examples.

中文翻译:


一类具有执行器故障和死区约束的不确定非线性系统的模糊自适应两位触发控制



本文研究了具有执行器故障和死区约束的不确定非线性系统的模糊自适应两位触发控制。实际系统中经常存在执行器故障和死区约束,这将极大地影响系统性能。基于改进的模糊逻辑系统(FLS),建立了模糊自适应补偿控制来解决这些问题。近似误差作为时变函数引入控制设计中。另外,针对实际系统传输资源有限的情况,提出了两位触发的控制机制,以进一步节省系统传输资源。证明该方法能够保证系统的跟踪性能并且所有信号都是有界的。仿真算例验证了其有效性。
更新日期:2024-08-22
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