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Asynchronous Non-Fragile H∞ Control for Time-Delay Markovian Jump Singularly Perturbed Systems with Variable
Yong Qin1, Xiru Wu2, Haolin Xiao2
1School of Artificial Intelligence and Manufacturing, Hechi University, Hechi 546300, China.
This study designs a robust controller for Markovian jump singularly perturbed systems (MJSPSs) facing delays and attacks. The method ensures stability and performance in networked systems with bandwidth constraints.
Area of Science:
- Control Systems Engineering
- Networked Systems
- Stochastic Systems
Background:
- Markovian jump singularly perturbed systems (MJSPSs) are complex dynamic systems.
- Time-varying delays, nonstationary quantization, and denial-of-service (DoS) attacks pose significant challenges to system stability and performance.
- Asynchronous dynamics between system and controller modes require specialized modeling.
Purpose of the Study:
- To investigate the asynchronous non-fragile H∞ control problem for MJSPSs with time-varying delays.
- To design a robust controller capable of handling disturbances from quantization and DoS attacks.
- To ensure stochastic finite-time exponential stability and H∞ performance.
Main Methods:
- A multi-layer structure method was employed for controller design.
- An independent Markov chain was used to model asynchronous dynamics.
- Mode-dependent Lyapunov-Krasovskii functions were constructed to derive stability conditions.
Main Results:
- Sufficient conditions were derived for stochastic finite-time exponential stability and H∞ performance.
- The controller demonstrated robustness against delay, singular disturbances, and quantization uncertainty.
- The proposed method ensures stability and performance in bandwidth-constrained network environments.
Conclusions:
- The developed asynchronous non-fragile H∞ control strategy effectively addresses challenges in MJSPSs.
- The approach validates robust stability and performance for networked control systems.
- The study provides a valuable framework for designing controllers in uncertain and dynamic environments.
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