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Journal of Systems Science & Complexity 2024年第4期37卷 1545-1560页

作者： FAN Xianrui LI Yongming tong shaocheng College of Science Liaoning University of TechnologyJinzhou 121001China

This paper studies the finite-time fuzzy adaptive output feedback resilient control problem for nonlinear cyber-physical systems(CPSs) with sensor attacks and actuator *** logic systems(FLSs) are used to approximate the unknown nonlinear functions,and a fuzzy state observer is constructed to estimate the unmeasured *** combining the Nussbaum function with the backstepping control design technique,a fuzzy adaptive resilient control scheme is designed to successfully address the effects of sensor attacks and actuator *** is proved that the controlled system is semi-global practical finite-time stability(SGPFS),and the tracking error converges to a small neighborhood of the origin in a finite time ***,the simulation and comparison results further demonstrate the effectiveness of the designed control method.

关键词： Cyber-physical systems fuzzy adaptive resilient control Nussbaum functions sensor attacks

Distributed adaptive resilient formation control for nonlinear multi-agent systems under DoS attacks

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Science China(Information Sciences) 2024年第10期67卷 391-392页

作者： Hao WEN Yongming LI shaocheng tong College of Science Liaoning University of Technology

The cooperative control for multi-agent systems(MASs)with fixed topology [1–3] has been extensively studied recently. However, in practice, denial-of-service(DoS) attacks become an increasingly important issue due to... 详细信息

关键词： Directed graphs

A finite-time fuzzy adaptive output-feedback fault-tolerant control for underactuated wheeled mobile robots systems

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Journal of Automation and Intelligence 2024年第2期3卷 111-118页

作者： Pingfan Liu shaocheng tong The Electrical Engineering College Liaoning University of TechnologyJinzhouLiaoning121001China College of Science Liaoning University of TechnologyJinzhouLiaoning121001China

This paper investigates the adaptive fuzzy finite-time output-feedback fault-tolerant control (FTC) problemfor a class of nonlinear underactuated wheeled mobile robots (UWMRs) system with intermittent actuatorfaults. The UWMR system includes unknown nonlinear dynamics and immeasurable states. Fuzzy logic systems(FLSs) are utilized to work out immeasurable functions. Furthermore, with the support of the backsteppingcontrol technique and adaptive fuzzy state observer, a fuzzy adaptive finite-time output-feedback FTC scheme isdeveloped under the intermittent actuator faults. It is testifying the scheme can ensure the controlled nonlinearUWMRs is stable and the estimation errors are convergent. Finally, the comparison results and simulationvalidate the effectiveness of the proposed fuzzy adaptive finite-time FTC approach.

关键词： Underactuated wheeled mobile robots system Finite-time Fuzzy adaptive fault-tolerant control Output-feedback Intermittent actuator faults

Adaptive Fuzzy Backstepping Tracking Control for Flexible Robotic Manipulator

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IEEE/CAA Journal of Automatica Sinica 2021年第12期8卷 1923-1930页

作者： Wanmin Chang Yongming Li shaocheng tong Department of College of Electrical Engineering Liaoning University of TechnologyJinzhou121001China Department of College of Science Liaoning University of TechnologyJinzhou121001China

In this paper,an adaptive fuzzy state feedback control method is proposed for the single-link robotic manipulator *** considered system contains unknown nonlinearfunction and actuator *** logic systems(FLSs)and a smooth function are used to approximate the unknownnonlinearities and the actuator saturation,*** com-bining the command-filter technique with the backsteppingdesign algorithm,a novel adaptive fuuzy tracking backsteppingcontrol method is *** is proved that the adaptive fuuzycontrol scheme can guarantee that all the variables in the closed-loop system are bounded,and the system output can track thegiven reference signal as close as *** results areprovided to illustrate the effectiveness of the proposed approach.

关键词： Actuator saturation backstepping design command-filter technique flexible robotic manipulator fuzzy adaptive control

Observer-based adaptive fuzzy backstepping control of uncertain nonlinear pure-feedback systems

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Science China(Information Sciences) 2014年第1期57卷 203-216页

作者： tong shaocheng LI YongMing Department of Basic Mathematics Liaoning University of Technology

In this paper,a new fuzzy adaptive control approach is developed for a class of SISO uncertain pure-feedback nonlinear systems with immeasurable *** logic systems are utilized to approximate the unknown nonlinear functions;and the filtered signals are introduced to circumvent algebraic loop systems encountered in the implementation of the controller,and a fuzzy state adaptive observer is designed to estimate the immeasurable *** combining the adaptive backstepping technique,an adaptive fuzzy output feedback control scheme is *** is proven that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are semi-globally uniformly ultimately bounded(SGUUB),and the observer and tracking errors converge to a small neighborhood of the origin by appropriate choice of the design *** studies are included to illustrate the efectiveness of the proposed approach.

关键词： nonlinear pure-feedback systems adaptive fuzzy control backstepping technique state observer stability

Design of Fixed-Time Neural Controller for Uncertain Nonstrict-Feedback Systems with Smooth Switching Functions

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Journal of Systems Science & Complexity 2023年第6期36卷 2344-2363页

作者： YANG Jinzi LI Yuanxin tong shaocheng State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang110819China College of Science Liaoning University of TechnologyJinzhou121001China

The tracking problem of uncertain nonstrict-feedback nonlinear systems(UNFNS)is examined to develop a novel adaptive neural control scheme to ensure fixed-time *** particular,the challenge associated with the unknown nonlinear function can be overcome through neural network(NN)based ***,an NN-based adaptive fixed-time control scheme is established with only one parameter,using the property of the basis function vector to address the algebraic loop ***,the singularity problem can be solved by incorporating a smooth switching function.A rigorous theoretical analysis is performed to demonstrate that the output signal can track the reference signal within a fixed time and that the signals in the control systems are ***,numerical simulations are performed to validate the feasibility of the proposed methodology.

关键词： Backstepping technique fixed-time control neural networks switching function

Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With Full State Constraints

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1335-1343页

作者： Lei Liu Tingting Gao Yan-Jun Liu shaocheng tong College of Science Liaoning University of TechnologyJinzhou 121001China IEEE

This paper concentrates on asymmetric barrier Lyapunov functions(ABLFs)based on finite-time adaptive neural network(NN)control methods for a class of nonlinear strict feedback systems with time-varying full state *** the process of backstepping recursion,the approximation properties of NNs are exploited to address the problem of unknown internal *** ABLFs are constructed to make sure that the time-varying asymmetrical full state constraints are always *** to the Lyapunov stability and finitetime stability theory,it is proven that all the signals in the closedloop systems are uniformly ultimately bounded(UUB)and the system output is driven to track the desired signal as quickly as possible near the *** the meantime,in the scope of finitetime,all states are guaranteed to stay in the pre-given ***,a simulation example is proposed to verify the feasibility of the developed finite time control algorithm.

关键词： Barrier Lyapunov functions constrained control finite time stability neural control

Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone

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Science China(Information Sciences) 2014年第3期57卷 276-287页

作者： LIU YanJun LIU Lei tong shaocheng College of Science Liaoning University of Technology

In this paper,the stability and control issues of a class of uncertain nonlinear discrete-time systems in the strict feedback form are *** dead-zone input in the systems,whose property is non-symmetric and discretized,is *** unknown functions in the systems are approximated by using the radial basis function neural networks(RBFNNs).Backstepping design procedure is employed in the controller and the adaptation laws *** analysis method is utilized to prove the stability of the closed-loop system.A simulation example is given to illustrate the efectiveness of the proposed approach.

关键词： adaptive control RBF neural network non-symmetric dead-zone backstepping design uncertain nonlinear systems

Distributed Adaptive Asymptotic Tracking of 2-D Vehicular Platoon Systems With Actuator Faults and Spacing Constraints

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1352-1354页

作者： Jiayi Lei Yuan-Xin Li shaocheng tong the College of Science Liaoning University of TechnologyJinzhou 121001China

Dear Editor,This letter investigates the adaptive asymptotic tracking slidingmode control for nonlinear 2-D vehicular platoon systems subject to actuator ***,by using the Nussbaum function,the disadvantageous factors ... 详细信息

关键词： Asymptotic asymptotic letter

Adaptive asymptotic fault-tolerant tracking of uncertain nonlinear systems with unknown control directions

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Journal of Control and Decision 2022年第3期9卷 301-310页

作者： Jin-Zi Yang Yuan-Xin Li shaocheng tong Department of Science Liaoning University of TechnologyJinzhouLiaoningPeople’s Republic of China

In the article,the issues of asymptotic adaptive tracking control for the uncertain nonlinear systems in the presence of actuator faults and unknown control directions are *** using the properties of the Nussbaum function and backstepping technique,the problems resulting from the unknown signs of the nonlinear control functions are circumvented ***,a new adaptive asymptotic tracking control method is presented with the fault-tolerant control framework,which is capable of realising zero-tracking *** stability of the controlled system is ensured through fractional Lyapunov stability ***,the validity of the raised scheme is verified by a simulation example.

关键词： Uncertain nonlinear system fault-tolerant control(FTC) adaptive asymptotic tracking control unknown control directions