Visible to the public Robust Nash Static Output Feedback Strategy for Uncertain Markov Jump Delay Stochastic Systems

TitleRobust Nash Static Output Feedback Strategy for Uncertain Markov Jump Delay Stochastic Systems
Publication TypeConference Paper
Year of Publication2019
AuthorsMukaidani, H., Saravanakumar, R., Xu, H., Zhuang, W.
Conference Name2019 IEEE 58th Conference on Decision and Control (CDC)
Date PublishedDec. 2019
PublisherIEEE
ISBN Number978-1-7281-1398-2
Keywordsactive queue management, algebraic equations, Congestion Control, coupled congestion control, cross coupled stochastic matrix inequalities, delay systems, delays, feedback, game theory, linear matrix inequalities, Markov processes, Microsoft Windows, Output feedback, pubcrawl, resilience, Resiliency, robust control, robust Nash static output feedback strategy, Robustness, Scalability, stochastic systems, uncertain Markov jump delay stochastic systems, uncertain systems
Abstract

In this paper, we propose a robust Nash strategy for a class of uncertain Markov jump delay stochastic systems (UMJDSSs) via static output feedback (SOF). After establishing the extended bounded real lemma for UMJDSS, the conditions for the existence of a robust Nash strategy set are determined by means of cross coupled stochastic matrix inequalities (CCSMIs). In order to solve the SOF problem, an heuristic algorithm is developed based on the algebraic equations and the linear matrix inequalities (LMIs). In particular, it is shown that robust convergence is guaranteed under a new convergence condition. Finally, a practical numerical example based on the congestion control for active queue management is provided to demonstrate the reliability and usefulness of the proposed design scheme.

URLhttps://ieeexplore.ieee.org/document/9028961
DOI10.1109/CDC40024.2019.9028961
Citation Keymukaidani_robust_2019