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    Article

    Adaptive fuzzy formation control for heterogeneous multi-agent systems using time-varying IBLFs

    In this article, the adaptive fuzzy formation control technique is addressed for heterogeneous multi-agent systems (HMASs) under time-varying full state constraints(TVFSCs). The time-varying integral barrier L...

    Han-Qian Hou, Yan-Jun Liu, Lei Liu, Jie Lan in Nonlinear Dynamics (2023)

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    Article

    Extended state observer-based non-singular practical fixed-time adaptive consensus control of nonlinear multi-agent systems

    This article considers the practical fixed-time control algorithm of multi-agent systems (MASs) with unmeasurable states and disturbances. Neural networks are introduced to fit the nonlinear functions of MASs ...

    Ming Yang, Zheng Wang, Dengxiu Yu, Zhen Wang, Yan -Jun Liu in Nonlinear Dynamics (2023)

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    Article

    Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule

    This paper develops a biased compensation recursive least squares-based threshold algorithm for a time-delay rational model. The time-delay rational model is transformed into an augmented model by using the re...

    **g Chen, Quan Min Zhu, Juan Li, Yan Jun Liu in Nonlinear Dynamics (2018)

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    Article

    A novel alleviating computation algorithm for a class of large-scale nonlinear systems with unknown dead-zones

    In this paper, a novel alleviating computation decentralized adaptive fuzzy tracking control approach is presented for a class of uncertain nonlinear large-scale systems which consist of some subsystems with b...

    Rui Wang, Yan-Jun Liu, Fu-Sheng Yu, Jia-Yin Wang in Nonlinear Dynamics (2014)

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    Article

    Adaptive intelligence learning for nonlinear chaotic systems

    In this paper, a reinforcement learning algorithm is proposed for a class of nonlinear differential chaotic systems. The nonlinear function of the chaotic systems is assumed to be bounded but the bounds are un...

    Dong-Juan Li, Li Tang, Yan-Jun Liu in Nonlinear Dynamics (2013)

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    Article

    Adaptive Neural Network Control for a DC Motor System with Dead-Zone

    In this paper, an adaptive control strategy for tracking of a direct-current (DC) motor system with a dead-zone is developed. The main contribution of the developed scheme is that we successfully integrate an ...

    Lei Liu, Yan-Jun Liu, C. L. Philip Chen in Nonlinear Dynamics (2013)

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    Article

    Output feedback stabilization based on dynamic surface control for a class of uncertain stochastic nonlinear systems

    In this paper, the dynamic surface control (DSC) algorithm is proposed for a class of stochastic nonlinear systems with nonminimum phase and the standard output-feedback form. The proposed algorithm is a stoch...

    Rui Wang, Yan-Jun Liu, Shaocheng Tong, C. L. Philip Chen in Nonlinear Dynamics (2012)

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    Article

    Adaptive fuzzy-neural tracking control for uncertain nonlinear discrete-time systems in the NARMAX form

    In this paper, an adaptive fuzzy-neural control scheme is investigated for a class of single-input single-output (SISO) discrete-time nonlinear systems in the presence of bounded disturbances. The SISO systems...

    Guo-**ng Wen, Yan-Jun Liu in Nonlinear Dynamics (2011)

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    Article

    Adaptive neural output feedback control of nonlinear discrete-time systems

    Based on the backstep** technique, an adaptive neural network (NN) based output feedback controller is proposed to achieve a desired tracking performance for a class of discrete-time nonlinear systems, which...

    Guo-**ng Wen, Yan-Jun Liu, Shao-Cheng Tong, **ao-Li Li in Nonlinear Dynamics (2011)

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    Article

    Decentralized control of uncertain nonlinear stochastic systems based on DSC

    In this paper, the decentralized stabilization control approach based on the dynamic surface control (DSC) is proposed for a class of large-scale interconnected stochastic nonlinear systems. The proposed appro...

    Rui Wang, Yan-Jun Liu, Shao-Cheng Tong in Nonlinear Dynamics (2011)

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    Article

    Adaptive fuzzy output feedback control of uncertain nonlinear systems with nonsymmetric dead-zone input

    In this paper, we present an adaptive control scheme for a class of uncertain nonlinear system with unknown nonsymmetric dead-zone nonlinearity. It is assumed that the system states are unmeasurable. Therefore...

    Ning Zhou, Yan-Jun Liu, Shao-Cheng Tong in Nonlinear Dynamics (2011)

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    Adaptive fuzzy output-feedback control of uncertain SISO nonlinear systems

    The output-feedback control problem of a class of uncertain SISO nonlinear systems is investigated based on an indirect adaptive fuzzy approach. Because the system states are not required to be available for m...

    Yan-Jun Liu, Yuan-**n Li in Nonlinear Dynamics (2010)

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    Article

    Adaptive fuzzy controller design of nonlinear systems with unknown gain sign

    For a class of uncertain nonlinear non-affine systems, an adaptive fuzzy controller is proposed in this paper. Compared with the existing results, the proposed controller does not require a priori knowledge ab...

    Yan-Jun Liu, Zhi-Feng Wang in Nonlinear Dynamics (2009)

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    Article

    Adaptive robust fuzzy control for a class of uncertain chaotic systems

    In this paper, the output feedback control of uncertain chaotic systems is addressed via an adaptive robust fuzzy approach. Fuzzy logic systems are employed to approximate uncertain nonlinear functions in the ...

    Yan-Jun Liu, Ya-Qin Zheng in Nonlinear Dynamics (2009)