Hybrid-Driven Mechanism Based on Uncertain Network for Markov Jump System with Quantizations and Delay

Abstract

is paper investigates the hybrid-driven mechanism problem for Markov jump system, where both channel quantization (BCQ) and network-induced delay based on uncertain network are considered. Firstly, comparing with the traditional event-triggered scheme, a hybrid-driven mechanism is employed in networked control systems (NCSs) for the finite capacity of communication bandwidth resources and system performance in equilibrium. en, the quantization technology is applied in the communication channel from sensor-to-controller and controller-to-actuator. e application of BCQ is for further investigation that mitigate data packet transmission rate. irdly, Markov jump system is modeled for the hybrid-driven mechanism and network-induced delay. By constructing the Lyapunov-Krasovskii function, a sufficient condition is derived as the stability criterion, and the controller is designed in which the nonlinear term is rewritten for simplifying the calculation. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed approach.

Event-Triggered Quantized Stabilization of Markov Jump Systems under Deception Attacks

“…Te control objective of this paper is designing the suitable quantization rules and a controller with the feedback matrix defned in Assumption 2 such that the closedloop system (16) is the exponential convergence in the mean sense.…”

“…Te problem of fnite-time control by using logarithmic quantizer is mainly studied in [15]. For the Markov jump system with data quantization and delay, the authors in [16] designed a hybrid-triggered mechanism and control algorithm to guarantee the asymptotic stability of the system.…”