Kaibo Shi

dblp:139/1484 · DBLP profile ↗
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14ranked-venue papers in the field
1as first author
12since 2021 · last 2026
0000-0002-9863-9229ORCID · verified

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 14 (1 first)
YearPublicationVenuePosition
2026 Predefined-time backstepping tracking control of a two-link manipulator via fuzzy-enhanced multithreaded reinforcement learning
Qing Hao, Mengzhuo Luo, Jun Cheng 0004, Kaibo Shi
Inf. Sci.4
2025 Dual-stage transmission event-triggered sliding mode control for interval type-2 fuzzy vehicle active suspension systems under improved weighted try-once discard protocol with hybrid network attacks
Xinyue Ni, Mengzhuo Luo, Jun Cheng 0004, Huaicheng Yan 0001, Kaibo Shi
Inf. Sci.5
2025 Resilient-based event-triggered H∞ filtering for DoS-attack-prone interval type-2 fuzzy systems
Kaibo Shi, Jun Cheng 0004, Xin Wang 0027
Inf. Sci.2
2025 Dynamic self-triggered protocol for Takagi-Sugeno fuzzy positive Markov switching systems
Congxue Gao, Wenhai Qi, Ju H. Park 0001, Jun Cheng 0004, Kaibo Shi
Inf. Sci.6
2025 Learning-boosted intelligent frequency control of multi-area Markov jumping power system via multiplayer Stackelberg-Nash game
Mengzhuo Luo, Jun Cheng 0004, Huaicheng Yan 0001, Kaibo Shi
Inf. Sci.5
2024 Secure intermittent impulsive consensus control for fractional-order multiagent systems under denial-of-service and deception attacks
Taotao Hu, Kaibo Shi
Inf. Sci.3
2023 Adaptive fuzzy resilient control for switched systems with state constraints under deception attacks
Hangfeng He 0002, Wenhai Qi, Huaicheng Yan 0001, Jun Cheng 0004, Kaibo Shi
Inf. Sci.5
2023 Finite-time boundedness of networked control systems via hybrid predictive control based on cloud storage method
Tingting Jiang 0006, Ju H. Park 0001, Kaibo Shi
Inf. Sci.5
2023 Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its application
abstract
In this work, the non-fragile output feedback control problem is discussed for persistent dwell-time switched nonlinear systems . In order to make full use of the bandwidth in communication networks, the weighted try-once-discard protocol is adopted to connect only one sensor with communication networks at a instant via the maximum-error-first policy. It is worth noticing that via using the weighted try-once-discard protocol, the information received by the controller becomes less such that the gains of the controller may be more susceptible to the internal and external environment. Therefore, the non-fragile output-feedback fuzzy control scheme is employed for maintaining the performance of controllers under such a protocol. Then, based on suitable augmented multiple Lyapunov-like functions, sufficient conditions are derived to ensure the stochastically globally uniform exponential stability and a fixed H ∞ performance for the resulted closed-loop system. Furthermore, through solving those conditions, the design approach of the desired controller can be developed. The feasibility of the established approach is illustrated via a example and a truck-trailer model.
Hao Shen 0001, Xinmiao Liu, Jing Wang 0071, Kaibo Shi
Inf. Sci.4
2023 Improved filtering of interval type-2 fuzzy systems over Gilbert-Elliott channels
Qiongwen Zhang, Yunliang Wang, Jun Cheng 0004, Huaicheng Yan 0001, Kaibo Shi
Inf. Sci.5
2022 Adaptive fuzzy control for quasi-synchronization of uncertain complex dynamical networks with time-varying topology via event-triggered communication strategy
Taotao Hu, Zheng He 0002, Shouming Zhong, Kaibo Shi, Yaoyi Zhang
Inf. Sci.5
2022 Component-based dynamic event-triggered control for nonlinear singularly perturbed systems: A gain-scheduling method
Jun Cheng 0004, Huaicheng Yan 0001, Kaibo Shi, Wenhai Qi
Inf. Sci.4
2019 Finite-time asynchronous H∞ resilient filtering for switched delayed neural networks with memory unideal measurements
Wenqian Xie, Hong Zhu 0001, Jun Cheng 0004, Shouming Zhong, Kaibo Shi
Inf. Sci.5
2016 Some novel approaches on state estimation of delayed neural networks
Kaibo Shi, Xinzhi Liu, Yuan Yan Tang, Hong Zhu 0001, Shouming Zhong
Inf. Sci.1