Composite nonlinear feedback with dynamic event‐triggered mechanism for control systems in the presence of saturation nonlinearity

Abstract

A composite nonlinear feedback (CNF) control with dynamic event‐triggered strategy for saturated systems is considered in this paper. The CNF control is introduced to improve the system response speed and reduce the overshoot under disturbances. The dynamic event‐triggered mechanism (DETM) is utilized to save more communication resources. The focus of this paper is to achieve the asymptotic tracking of saturated systems by combining DETM with CNF control. A criterion is presented to guarantee that the system can track the reference input signal asymptotically. Zeno behavior is eliminated by proving the minimum time interval is greater than zero. Finally, simulations are carried out to verify the correctness of the proposed results.

H∞ output quantized control for networked control systems under resilient event‐triggered mechanism and aperiodic denial‐of‐service attacks

“…(iii) An event generates at each instant T n − 1 , which ensures at least one successful communication during each interval . (iv) Unlike continuous‐time ETM, the resilient ETM only checks triggering conditions at periodic sampling instants, and thus, Zeno behavior [17] is excluded absolutely.…”

“…where Θ𝑗 = Θ 𝑗 − e Using Schur complement to ( 16) yields Θ𝑗 < 0, Λ𝑗 < 0, and thus it follows from (17) that…”

Observer-based integral controller using composite nonlinear feedback for saturated control systems

“…In the discrete-time domain, the CNF control is reported for switching systems under disturbances (Bayat et al, 2018). Concerning dynamic event-triggered mechanism, the behavior of a control system is studied via CNF (Zuo et al, 2021). Under actuator limitations, an event-triggered CNF is presented for the control systems containing measurement feedback (Zuo et al, 2019).…”

A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation

“…It is workable even extra design complexity induced. Augmented: These include CNF for time-delay systems (Ghaffari, 2020; Singh et al, 2018), singular linear systems (Jafari and Binazadeh, 2018; Lin et al, 2017), chaotic systems (Mobayen and Tchier, 2017), observer-based control (Jafari and Binazadeh, 2019), adaptive control (Kulkarni and Purwar, 2018) and event-triggered design (Zuo et al, 2021). These approaches integrated CNF with the other techniques to achieve the CNF performance while keep the other properties remained in the systems.…”