K
Kaibo Shi
Researcher at University of Electronic Science and Technology of China
Publications - 264
Citations - 5359
Kaibo Shi is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 30, co-authored 170 publications receiving 3053 citations. Previous affiliations of Kaibo Shi include University of Macau & University of Waterloo.
Papers
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Journal ArticleDOI
Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies
TL;DR: The intermittent fault-tolerance scheme is taken into fully account in designing a reliable asynchronous sampled-data controller, which ensures such that the resultant neural networks is asymptotically stable.
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Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control
TL;DR: A modified loose-looped fuzzy membership functions (FMFs) dependent Lyapunov-Krasovskii functional (LKF) is constructed based on the information of the time derivative of FMFs, which involves not only a signal transmission delay but also switched topologies.
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Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process
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Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation.
TL;DR: A new non-fragile stochastic control method to investigate the robust sampled-data synchronization problem for uncertain chaotic Lurie systems (CLSs) with time-varying delays by choosing an appropriate Lyapunov-Krasovskii functional (LKF), which takes full advantage of the available information about the actual sampling pattern and the nonlinear condition.
Journal ArticleDOI
Stochastic switched sampled-data control for synchronization of delayed chaotic neural networks with packet dropout
TL;DR: A novel stochastic switched sampled-data controller with time-varying sampling is developed in the frame of the zero-input strategy and novel synchronization criteria are established to guarantee that DCNNs are synchronous exponentially when the control packet dropout occurs in a random way.