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控制理论与应用（英文版） 2007年第3期5卷 317-322页

作者： Min WANG Xiuying WANG Bing CHEN Shaocheng TONG Institute of Complexity Science Qingdao University Qingdao Shandong 266071 China College of Information Science and Technology Qingdao University of Science and Technology Qingdao Shandong 266071 China Department of Basic Science Liaoning Institute of Technology Jinzhou Liaoning 121001 China

In this paper, the robust adaptive fuzzy tracking control problem is discussed for a class of perturbed strict-feedback nonlinear systems. The fuzzy logic systems in Mamdani type are used to approximate unknown nonlinear functions. A design scheme of the robust adaptive fuzzy controller is proposed by use of the backstepping technique. The proposed controller guarantees semi-global uniform ultimate boundedness of all the signals in the derived closed-loop system and achieves the good tracking performance. The possible controller singularity problem which may occur in some existing adaptive control schemes with feedback linearization techniques can be avoided. In addition, the number of the on-line adaptive parameters is not more than the order of the designed system. Finally, two simulation examples are used to demonstrate the effectiveness of the proposed control scheme.

关键词： Nonlinear systems Fuzzy control Robust adaptive control backstepping technique

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The Study of Application Scope for backstepping technique

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The Study of Application Scope for Backstepping Technique

Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems

第二十九届中国控制会议

作者： WANG Li 1,2,WANG Qing-Lin 3,SUN Chang-Yin 1 1.School of Automation,Southeast University,Nanjing 210096,P.R.China 2.School of Energy and Power Engineering,Yangzhou University,Yangzhou 225009,P.R.China,3.School of Automation,Beijing Institute of Technology,Beijing 100081,P.R.China

The backstepping procedure is one of the tools,which provides control law synthesis for nonlinear smooth systems.A class of nonlinear systems which is so-called strict-feedback systems is usually considered,but the backstepping procedure applied to pure feedback nonlinear systems results sometimes in a control law,which exhibits *** this paper,a class of pure nonlinear systems which satisfies some given sufficient conditions is described,and the derived control law is numerically well *** class of systems which has weakened conditions than above discussed systems is also considered which makes the application scope of backstepping technique more *** simulation results demonstrate that the control law of this class of systems does not exhibit singularity,which means division by zero or ill-conditioned.

关键词： backstepping technique Lyapunov Function Pure Feedback Nonlinear System

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Science China(Information Sciences) 2020年第3期63卷 212-225页

作者： Lei LIU Yan-Jun LIU Aiqing CHEN Shaocheng TONG C.L.Philip CHEN College of Science Liaoning University of Technology Computer Science and Engineering South China University of Technology Navigation College Dalian Maritime University

This paper presents an adaptive control method for a class of uncertain strict-feedback switched nonlinear systems. First, we consider the constraint characteristics in the switched nonlinear systems to ensure that all states in switched systems do not violate the constraint ranges. Second, we design the controller based on the backstepping technique, while integral Barrier Lyapunov functions(i BLFs) are adopted to solve the full state constraint problems in each step in order to realize the direct constraints on state ***, we introduce the Lyapunov stability theory to demonstrate that the adaptive controller achieves the desired control goals. Finally, we perform a numerical simulation, which further verifies the significance and feasibility of the presented control scheme.

关键词： adaptive control switched nonlinear systems integral Barrier Lyapunov functions backstepping technique full state constraints

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

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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

Trajectory correction for lunar flyby transfers to libration point orbits using continuous thrust

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Astrodynamics 2022年第3期6卷 285-300页

作者： Yi Qi Anton de Ruiter School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Department of Aerospace Engineering Ryerson UniversityTorontoON M5B 2K3Canada

Trajectory corrections for lunar flyby transfers to Sun–Earth/Moon libration point orbits(LPOs)with continuous thrusts are investigated using an ephemeris *** lunar flyby transfer has special geometrical and dynamical structures;therefore,its trajectory correction strategy is considerably different from that of previous studies and should be specifically *** this paper,we first propose a control strategy based on the backstepping technique with a dead-band scheme using an ephemeris *** initial error caused by the launch time error is *** the perturbed transfers significantly diverge from the reference transfers after the spacecraft passes by the Moon,we adopt two sets of control parameters in two portions before and after the lunar flyby,***,practical constraints owing to the navigation and propellant systems are introduced in the dynamical model of the trajectory *** a prograde type 2 orbit as an example,numerical simulations show that our control strategy can efficiently address trajectory corrections for lunar flyby transfers with different practical *** addition,we analyze the effects of the navigation intervals and dead-band scheme on trajectory ***,trajectory corrections for different lunar flyby transfers are depicted and compared.

关键词： libration point orbit trajectory correction Earth-Moon system continuous thrust backstepping technique

A direct power control of a DFIG based-WECS during symmetrical voltage dips

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Protection and Control of Modern Power Systems 2020年第1期5卷 36-47页

作者： Sara Mensou Ahmed Essadki Tamou Nasser Badr Bououlid Idrissi Research Center of Engineering and Health Sciences and Technologies from ENSET Mohammed V UniversityRabatMorocco Research Center of Engineering and Health Sciences and Technologies from ENSIAS Mohammed V UniversityRabatMorocco Electromechanical Engineering Department of ENSAM Moulay Ismaïl UniversityMeknèsMorocco.

The Wind Energy Conversion System(WECS)based Doubly Fed Induction Generator(DFIG)has experienced a rapid development in the world,which leads to an increasing insertion of this source of energy in the electrical *** sudden and temporary drop of voltage at the network can affect the operation of the DFIG;the voltage dips produce high peak currents on the stator and rotor circuits,without protection,the rotor side converter(RSC)will suffer also from over-current limit,consequently,the RSC may even be destroyed and the generator be *** this paper a new Direct Power Control(DPC)method was developed,in order to control the stator powers and help the operation of the aero-generator during the faults grid;by injecting the reactive power into the network to contribute to the return of voltage,and set the active power to the optimum value to suppress the high peak *** DPC method was designed using the nonlinear backstepping(BS)controller associated with the Lyapunov function to ensure the stability and robustness of the system.A comparison study was undertaken to verify the robustness and effectiveness of the DPC-BS to that of the classical vector control(VC)using Proportional-Integral(PI)*** were simulated under the Simulink®software.

关键词： Wind energy Doubly-fed induction aero-generator Voltage dips DPC strategy backstepping technique Lyapunov function

Adaptive region reaching control of fully actuated ocean surface vessels

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Journal of Control and Decision 2021年第3期8卷 251-259页

作者： X.M.Sun S.S.Ge Q.Xu Y.Zhou X.W.Zheng School of Engineering Science and Technology Shanghai Ocean UniversityShanghai 201306People’s Republic of China Robotics Institute and School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China School of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore School of Electronic and Information Engineering Beihang UniversityBeijingPeople’s Republic of China

In this paper,region reaching controller is designed for fully actuated ocean surface vessels to reach a desired target region instead of a *** are not the requirements for both the pre-specified trajectory outside the desired region and the desired pinpoint position inside the desired *** controller design is based on the potential energy function,backstepping recursive design methodology,and the Lyapnov stability analysis *** the target region is specified arbitrarily small,the target region reduces to a point,and hence the region reaching control can be a generalisation of the setpoint *** results are presented to illustrate the performance of the proposed controller.

关键词： Reaching control potential energy function adaptive control backstepping technique Lyapunov stability

Adaptive neural control for MIMO nonlinear systems with state time-varying delay

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控制理论与应用（英文版） 2012年第3期10卷 309-318页

作者： Ruliang WANG Kunbo MEI Chaoyang CHEN Yanbo LI Hebo MEI Zhifang YU Computer and Information Engineering College Guangxi Teachers Education University Nanning Guangxi 530023 China School of Mathematical Sciences Guangxi Teachers Education University Nanning Guangxi 530023 China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 China Information Engineering College Capital Normal University Beijing 100048 China School of Education Sciences Guangxi Teachers Education University Nanning Guangxi 530023 China

In this paper, adaptive neural control is proposed for a class of multi-input multi-output （MIMO） nonlinear unknown state time-varying delay systems in block-triangular control structure. Radial basis function （RBF） neural net- works （NNs） are utilized to estimate the unknown continuous functions. The unknown time-varying delays are compensated for using integral-type Lyapunov-Krasovskii functionals in the design. The main advantage of our result not only efficiently avoids the controller singularity, but also relaxes the restriction on unknown virtual control coefficients. Boundedness of all the signals in the closed-loop of MIMO nonlinear systems is achieved, while The outputs of the systems are proven to converge to a small neighborhood of the desired trajectories. The feasibility is investigated by two simulation examples.

关键词： Adaptive control backstepping technique Time-varying delay MIMO Neural network

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