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IEEE Transactions on Cybernetics|March 2, 2016
Optimal Control-Based Adaptive NN Design for a Class of Nonlinear Discrete-Time Block-Triangular SystemsYan-Jun Liu, Shaocheng Tong
IEEE Transactions on Cybernetics|June 27, 2014
Adaptive NN tracking control of uncertain nonlinear discrete-time systems with nonaffine dead-zone inputYan-Jun Liu, Shaocheng Tong
IEEE Transactions on Cybernetics|July 12, 2018
Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear SystemsLei Liu, Yan-Jun Liu, Shaocheng Tong
IEEE Transactions on Cybernetics|October 29, 2021
Adaptive Output Feedback Fuzzy Fault-Tolerant Control for Nonlinear Full-State-Constrained Switched SystemsLi Tang, Meiying Yang, Yan-Jun Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 5, 2021
IBLF-Based Adaptive Neural Control of State-Constrained Uncertain Stochastic Nonlinear SystemsTingting Gao, Tieshan Li, Yan-Jun Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 29, 2021
Neural-Network-Based Adaptive Constrained Control for Switched Systems Under State-Dependent Switching LawLi Tang, Xin-Yu Zhang, Yan-Jun Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time SystemsYan-Jun Liu, Shu Li, Shaocheng Tong, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 29, 2014
Adaptive NN controller design for a class of nonlinear MIMO discrete-time systemsYan-Jun Liu, Li Tang, Shaocheng Tong, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 10, 2015
A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone InputYan-Jun Liu, Ying Gao, Shaocheng Tong, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 4, 2022
Integral BLF-Based Adaptive Neural Constrained Regulation for Switched Systems With Unknown Bounds on Control GainLi Tang, Kaiyue He, Yang Chen, et al.
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