Stability and $\mathcal{H}_{\infty}$ Performance Analysis of Stochastic Linear Networked and Quantized Control Systems
Wei Ren, Junlin Xiong

TL;DR
This paper develops a stochastic system model for analyzing the stability and $ive$ performance of linear networked and quantized control systems affected by delays and packet losses, providing new stability conditions.
Contribution
It introduces a novel stochastic modeling approach and establishes sufficient stability and performance conditions for networked control systems with uncertainties.
Findings
Derived stability conditions for networked control systems.
Demonstrated $ive$ performance guarantees under network uncertainties.
Validated results with a numerical example.
Abstract
This paper studies the stability and performance analysis problem for linear networked and quantized control systems with both communication delays random packet losses. To deal with the network-induced uncertainties and random packet dropouts, a novel discrete-time stochastic system model is developed for continuous-time networked control systems, and further overapproximated via a polytopic system with norm-bounded uncertainty. Based on the overapproximated system model, sufficient conditions are established for linear networked and quantized control systems in different cases to guarantee input-to-state stability and performance with respect to the network-induced errors. Finally, a numerical example is presented to illustrated the developed results.
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Taxonomy
TopicsStability and Control of Uncertain Systems · Distributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization
