T–S Fuzzy-Based Security Control of Nonlinear Unmanned Marine Vehicle Systems with Uncertain Stochastic DoS Attack
- Resource Type
- Original Paper
- Authors
- Dong, Jiahao; Ye, Zehua; Zhang, Dan; Guo, Fanghong
- Source
- International Journal of Fuzzy Systems. 25(1):289-301
- Subject
- T–S fuzzy system
Unmanned marine vehicle
Semi-Markov chain
Mean square stability
Security control
Partially unavailable semi-Markov kernels
- Language
- English
- ISSN
- 1562-2479
2199-3211
This paper is concerned with the output tracking control for a class of network-based nonlinear unmanned marine vehicle (UMV) systems subject to denial-of-service (DoS) attacks, where a Takagi–Sugeno (T–S) fuzzy approach is proposed to grapple with the nonlinearity of UMV. A semi-Markov chain is introduced to reveal the switches of different attack degrees on actuators. The transition probabilities (TPs) and the sojourn-time probability density functions (ST-PDFs) of the introduced semi-Markov chain are partially unavailable because of unpredictable DoS attacks. Through introducing the upper bound of the sojourn time for each attack mode and giving an enlarged known threshold to unavailable TPs and/or ST-PDFs, the sufficient conditions for the σσ-mean square stability (σσ-MSS) with performance of output tracking system are derived in the form of linear matrix inequalities (LMIs). Attack-tolerant controllers are then designed to overcome those stochastic DoS attacks. Finally, the effectiveness of the proposed control scheme is verified by a simulation study.