Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint. - Rui-Bing Li; Ben Niu 003; Zhiguang Feng; Jun-Qing Li 001; Pei-Yong Duan; Dong Yang 007 (J. Frankl. Inst., 2019)

Intelligent Adaptive Tracking Controller Design for Stochastic Switched Pure-Feedback Nonlinear Systems With Input Saturation and Non-Lower Triangular Structure. - Ji-Dong Liu; Rui-Bing Li; Xiaomei Liu; Ben Niu 003; Dong Yang 007 (IEEE Access, 2020)

Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems. - Zhiguang Feng; Rui-Bing Li; Wei Xing Zheng 001 (Inf. Sci., 2022)

State and static output feedback control of singular Takagi-Sugeno fuzzy systems with time-varying delay via proportional plus derivative feedback. - Zhiguang Feng; Huayang Zhang; Rui-Bing Li (Inf. Sci., 2022)

Removing the feasibility conditions on adaptive fuzzy decentralized tracking control of large-scale nonlinear systems with full-state constraints. - Zhiguang Feng; Rui-Bing Li; Mohammed Chadli; Xun Zhang (J. Frankl. Inst., 2022)

Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method. - Zhiguang Feng; Rui-Bing Li; Naifu Zhang; Ligang Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Neuroadaptive Control for Active Suspension Systems With Time-Varying Motion Constraints: A Feasibility-Condition-Free Method. - Zhiguang Feng; Rui-Bing Li; Xingjian Jing (IEEE Trans. Cybern., 2024)

Adaptive Decentralized Control for Constrained Strong Interconnected Nonlinear Systems and Its Application to Inverted Pendulum. - Zhiguang Feng; Rui-Bing Li; Ligang Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neuroadaptive Output-Feedback Tracking Control for Stochastic Nonlower Triangular Nonlinear Systems With Dead-Zone Input. - Zhiguang Feng; Rui-Bing Li; Wei Zhang; Jianbin Qiu; Zhengyi Jiang (IEEE Trans. Cybern., 2024)

An improved constraint control framework for unmanned surface vehicles using command-filtered backstepping technique. - Rui-Bing Li; Zhiguang Feng; Zhengyi Jiang; Haiping Du (J. Frankl. Inst., 2025)