Novel switching signal selection for robust passive sampled‐data control of uncertain continuous switched time‐delay systems

Abstract

In this paper, the robust passive sampled-data controls of uncertain continuous switched time-delay systems with linear fractional perturbations and aperiodic sampling are considered. By the proposed delay-dependent linear matrix inequality (LMI)-based criteria, the switching domains can be selected to design the switching signal and sampled-data control. If switching signal is known, the feedback control can be designed by using the sampled state at each sampling instant. Some simulations are provided to verify the efficiency of the proposed results. Finally, some numerical examples are illustrated to show the main contribution of the proposed results.

Mixed performance for robust fuzzy control of nonlinear autonomous surface vehicle via T‐S model approach

“…In this paper, the mixed performance (H 2 /H ∞ ) of uncertain T-S fuzzy system with linear fractional perturbations has been guaranteed by LMI optimization approach. Other mixed performance (passivity/H 2 ) can be achieved easily by the proposed results in this paper [38].…”

“…In this paper, the motivations and major contributions are given as follows: A T‐S fuzzy model approach is developed to stabilize and guarantee the mixed performance of nonlinear uncertain ASV. In this paper, the mixed performance ( H 2 / H ∞ ) of uncertain T‐S fuzzy system with linear fractional perturbations has been guaranteed by LMI optimization approach. Other mixed performance (passivity/ H 2 ) can be achieved easily by the proposed results in this paper [38]. Based on the developed T‐S fuzzy model approach with suitable membership functions of rules, the optimal effects on disturbance attenuation and motion reduction of ASV can be evaluated in this paper. The control gains of robust PDC can be obtained by using the Toolbox of Matlab.…”

Event‐triggered containment control for multi‐agent systems under hybrid cyber attacks

“…Simulation results also demonstrate the effectiveness of the proposed method. In addition, uncertainty, nonlinear, and variable parameter system dynamics are promising research directions, previous studies [47][48][49] have made outstanding contributions in these areas. Next, generalizing this result to the uncertainty, nonlinear and variable parameter system dynamics is an interesting future work.…”

Exponential stability of time‐delay systems with flexible delayed impulse

“…Notably, time delays within a system can readily induce instability, manifesting as oscillations and chaotic phenomena, which impedes the advancement of time-delay systems in practical applications. Recently, numerous findings on time-delay systems have been reported [1][2][3], particularly in the context of neural networks [4][5][6][7], man-Co-first authors: Zheqi Yu and Song Ling contribute equally to this work.…”

“…Notably, time delays within a system can readily induce instability, manifesting as oscillations and chaotic phenomena, which impedes the advancement of time‐delay systems in practical applications. Recently, numerous findings on time‐delay systems have been reported [1–3], particularly in the context of neural networks [4–7], manufacturing processes [8], secure communication [9], biology [10], and information technology [11]. Khadra et al examined the influence of delay on impulsive synchronization and proposed sufficient conditions for mitigating the delay issue in secure communication [9].…”