Nonfragile Consensus of Multiagent Systems Based on Memory Sampled-Data Control

Second-Order Consensus for Multi-Agent Systems With Time-Varying Delays Based on Delay-Partitioning

“…, 10} and a sufficient condition to guaranteeV (δ t ) ≤ ξ T 2 (t) 2 ξ 2 (t) < 0 is that the inequality in (14). Thus, it is clear that, if (13) and (14) hold, thenV (δ t ) < 0 holds for τ (t) ∈ [τ 1 , τ 2 ]. This completes the proof.…”

“…Many scholars have studied the consensus problem from various perspectives. For instance, event-triggered security consensus control [12], sampled-data consensus [13]- [15], adaptive control [16], [17] and so on.…”

Non‐fragile control for a class of fractional‐order uncertain linear systems with time‐delay

“…However, these controllers are robust only with respect to system uncertainty, which motivates the interesting problem of how to design controllers for FO delayed system that are non‐fragile in the sense that they can tolerate a certain degree of controller uncertainty as well as system uncertainty. Even though there are a large number of related references on integer‐order systems [30–36], these results cannot be generalised and applied to FO delayed systems. To the best of the knowledge of authors, there are few research achievements on the non‐fragile control of FO delayed systems, especially for delay‐dependent non‐fragile controller design method.…”

Stochastic sampled‐data controller for T–S fuzzy chaotic systems and its applications

“…In recent years, extraordinary techniques are planned in the writing to look at the stability and stabilisation issue of non‐linear models depending on completely different control strategies [7–10]. Stability and stabilisation conditions have been determined to be dependent on the Lyapunov–Krasovskii functional (LKF), and the plan technique for the ideal sampled‐data controller has likewise been proposed in [11–14]. Specifically, decentralised techniques that use the T–S fuzzy technique for sampled‐data systems are important since most engineering applications involve continuous‐time dynamics, discrete‐time output, and non‐linearity.…”