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  1. No Access

    Article

    Neural-network-based safe learning control for non-zero-sum differential games of nonlinear systems with asymmetric input constraints

    This paper primarily investigates a neural-network-based safe control scheme for solving the optimal control problem of continuous-time (CT) nonlinear systems with asymmetric input constraints under non-zero-s...

    Chunbin Qin, Tianzeng Zhu, Kaijun Jiang, Yinliang Wu, Jishi Zhang in Applied Intelligence (2024)

  2. No Access

    Article

    Dynamic event-triggered robust safety control for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints

    This paper investigates a dynamic event-triggered robust safety control method for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints under continuous-time nonli...

    Chunbin Qin, Tianzeng Zhu, Kaijun Jiang, Jishi Zhang in Applied Intelligence (2024)

  3. No Access

    Article

    An efficient lightweight convolutional neural network for industrial surface defect detection

    Since surface defect detection is significant to ensure the utility, integrality, and security of productions, and it has become a key issue to control the quality of industrial products, which arouses interes...

    Dehua Zhang, **nyuan Hao, Dechen Wang, Chunbin Qin… in Artificial Intelligence Review (2023)

  4. No Access

    Article

    Adaptive optimal safety tracking control for multiplayer mixed zero-sum games of continuous-time systems

    When the equipment is working, it is very important to avoid the occurrence of malignant accidents by providing a highly reliable safety protection means. In this paper, for multiplayer mixed zero-sum games, a...

    Chunbin Qin, Zhongwei Zhang, Ziyang Shang, Jishi Zhang, Dehua Zhang in Applied Intelligence (2023)

  5. No Access

    Chapter and Conference Paper

    Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems

    In this paper, a finite-horizon optimal tracking control scheme is proposed for a class of nonlinear discrete-time switched systems. First, via system transformation, the optimal tracking problem is converted ...

    Chunbin Qin, **anxing Liu, Guoquan Liu, Jun Wang… in Neural Information Processing (2017)

  6. No Access

    Article

    Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming

    In this paper, an infinite-horizon optimal tracking control scheme is proposed for a class of nonlinear discrete-time switched systems. First, via system transformation, the optimal tracking problem is convert...

    Chunbin Qin, Huaguang Zhang, Yanhong Luo in Neural Computing and Applications (2014)