Synthetic adaptive fuzzy tracking control for MIMO uncertain nonlinear systems with disturbance observer. - Yang Cui 002; Huaguang Zhang; Qiuxia Qu; Chaomin Luo (Neurocomputing, 2017)

Decentralized adaptive tracking control scheme for nonlinear large-scale interconnected systems via adaptive dynamic programming. - Qiuxia Qu; Huaguang Zhang; Tao Feng 006; He Jiang 002 (Neurocomputing, 2017)

General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems. - Geyang Xiao; Huaguang Zhang; Yanhong Luo; Qiuxia Qu (Neurocomputing, 2017)

Neural network-based H∞ sliding mode control for nonlinear systems with actuator faults and unmatched disturbances. - Qiuxia Qu; Huaguang Zhang; Rui Yu 003; Yang Liu 160 (Neurocomputing, 2018)

Data-driven optimal tracking control for discrete-time systems with delays using adaptive dynamic programming. - Yang Liu 160; Huaguang Zhang; Rui Yu 003; Qiuxia Qu (J. Frankl. Inst., 2018)

General value iteration based single network approach for constrained optimal controller design of partially-unknown continuous-time nonlinear systems. - Geyang Xiao; Huaguang Zhang; Qiuxia Qu; He Jiang 002 (J. Frankl. Inst., 2018)

Optimal Guaranteed Cost Sliding Mode Control for Constrained-Input Nonlinear Systems With Matched and Unmatched Disturbances. - Huaguang Zhang; Qiuxia Qu; Geyang Xiao; Yang Cui 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust control design for multi-player nonlinear systems with input disturbances via adaptive dynamic programming. - Qiuxia Qu; Huaguang Zhang; Chaomin Luo; Rui Yu 003 (Neurocomputing, 2019)

Adaptive Critic Design-Based Robust Cooperative Tracking Control for Nonlinear Multi-Agent Systems With Disturbances. - Qiuxia Qu; Liangliang Sun; Zhigang Li (IEEE Access, 2021)