Sampled-data stabilization for a class of stochastic nonlinear systems with Markovian switching based on the approximate discrete-time models. - Peilong Yu; Yu Kang 001; Qianqian Zhang (ANZCC, 2018)

Control for a Class of Stochastic Mechanical Systems Based on the Discrete-Time Approximate Observer. - Xinxin Fu; Yu Kang 001; Pengfei Li 006; Peilong Yu (J. Syst. Sci. Complex., 2019)

Robust model predictive control for constrained networked nonlinear systems: An approximation-based approach. - Tao Wang 073; Yu Kang 001; Pengfei Li 006; Yun-Bo Zhao; Peilong Yu (Neurocomputing, 2020)

Novel stability conditions of linear time-varying impulsive positive systems based on indefinite Lyapunov functions *. - Niankun Zhang; Peilong Yu; Yu Kang 001; Qianqian Zhang (ANZCC, 2021)

Robust Approximation-Based Event-Triggered MPC for Constrained Sampled-Data Systems. - Tao Wang 073; Yu Kang 001; Pengfei Li 006; Yun-Bo Zhao; Peilong Yu (J. Syst. Sci. Complex., 2021)

Sampled-Data Stabilization of a Class of Stochastic Nonlinear Markov Switching System with Indistinguishable Modes Based on the Approximate Discrete-Time Models. - Qianqian Zhang; Yu Kang 001; Peilong Yu; Jin Zhu; Chunhan Liu; Pengfei Li 006 (J. Syst. Sci. Complex., 2021)

Stability Analysis of Discrete-Time Switched Positive Nonlinear Systems With Unstable Subsystems Under Different Switching Strategies. - Niankun Zhang; Yu Kang 001; Peilong Yu (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

New stability conditions for discrete-time switched positive linear time-varying systems. - Niankun Zhang; Jin Zhu; Yu Kang 001; Peilong Yu (J. Frankl. Inst., 2022)