Finite-Time Quantized Output Synchronization of Discrete Fuzzy Semi-Markov Jump Systems with Stochastic Coupling Time-Varying Delay DOI
Biao Liu, Xiru Wu,

Ping Zhou

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 647 - 656

Published: Jan. 1, 2024

Language: Английский

Finite-Time Synchronization of Fractional-Order Complex-Valued Multi-Layer Network via Adaptive Quantized Control Under Deceptive Attacks DOI Creative Commons
Lulu Xu, Juan Yu, Cheng Hu

et al.

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(1), P. 47 - 47

Published: Jan. 17, 2025

This article investigates the problem of finite-time synchronization fractional-order complex-valued random multi-layer networks without decomposing them into two real-valued systems. Firstly, by promoting signum functions, sign functions on domain are introduced. Simultaneously, quantization in also introduced, and several related formulas for established. Under framework given function function, an adaptive quantized control scheme with or deception attacks is designed. According to theorem, Lyapunov graph theory methods, some sufficient criteria realizing have been obtained. Furthermore, setting time effectively evaluated. Eventually, reliability our results practicality strategies verified through numerical examples.

Language: Английский

Citations

0
A Modular Prescribed Performance Formation Control Scheme of a High-Order Multi-Agent System with a Finite-Time Extended State Observer DOI Open Access
Zhihan Shi,

Weisong Han,

Chen Zhang

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(9), P. 1783 - 1783

Published: April 27, 2025

This paper proposes a modular control framework for high-order nonlinear multi-agent systems (MASs) to achieve distributed finite-time formation tracking with prescribed performance. The design integrates two modules address uncertainties and safety constraints simultaneously. Module I—Prescribed Performance-Based Trajectory Generation: A virtual signal generator constructs collision/connectivity-aware reference trajectories by encoding time-varying performance bounds into errors. It ensures network rigidity optimal convergence through dynamic error transformation. II—Anti-disturbance Tracking Control: extended state observer (FTESO) estimates compensates within finite time, while surface controller drives errors predefined funnels. module guarantees rapid without violating the transient from I. simulations verified accelerated reconfiguration under disturbances, thus, demonstrated improved robustness over asymptotic approaches. offers systematic solution safety-critical MAS coordination heterogeneous dynamics.

Language: Английский

Citations

0
Quantized event-triggered-based finite-time $$\text {H}_\infty $$ control for interval type-2 fuzzy Markov jump systems with random coupling delays DOI
Yi Lü, Xiru Wu, Yaonan Wang

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(21), P. 19125 - 19146

Published: July 30, 2024

Language: Английский

Citations

1
Recursion Quantization Output Feedback Control for T-S Fuzzy Markov Jump Systems Under Stochastic Communication Protocol DOI
Yi Lü, Xiru Wu, Biao Liu

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 691 - 697

Published: Jan. 1, 2024

Language: Английский

Citations

0
Finite-Time Quantized Output Synchronization of Discrete Fuzzy Semi-Markov Jump Systems with Stochastic Coupling Time-Varying Delay DOI
Biao Liu, Xiru Wu,

Ping Zhou

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 647 - 656

Published: Jan. 1, 2024

Language: Английский

Citations

0