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Backstepping sliding mode control for uncertain strict-feedback nonlinear systems using neural-network-based adaptive gain scheduling

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Journal of systems Engineering and Electronics 2018年第3期29卷 580-586页

作者： YANG Yueneng YAN Ye College of Aerospace Science and Engineering National University of Defense Technology

A neural-network-based adaptive gain scheduling backstepping sliding mode control（NNAGS-BSMC） approach for a class of uncertain strict-feedback nonlinear system is ***, the control problem of uncertain strict-feedback nonlinear systems is formulated. Second, the detailed design of NNAGSBSMC is described. The sliding mode control（SMC） law is designed to track a referenced output via backstepping *** decrease chattering result from SMC, a radial basis function neural network（RBFNN） is employed to construct the NNAGSBSMC to facilitate adaptive gain scheduling, in which the gains are scheduled adaptively via neural network（NN）, with sliding surface and its differential as NN inputs and the gains as NN outputs. Finally, the verification example is given to show the effectiveness and robustness of the proposed approach. Contrasting simulation results indicate that the NNAGS-BSMC decreases the chattering effectively and has better control performance against the BSMC.

关键词： backstepping control sliding mode control(SMC) neural network(NN) strict-feedback system chattering decrease

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FUZZY ADAPTIVE TRACING CONTROL USING BACKSTEPPING DESIGN

FUZZY ADAPTIVE TRACING CONTROL USING BACKSTEPPING DESIGN

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第二十届中国控制会议

作者： Bin Liu, Fude Jin, Siying Zhang Institute of Control Science, School of Information Science & Engineering, Northeastern University, Shenyang, Liaoning, 110006, P. R. China, P.O.Box 135

＜正＞This paper studies the output-tracing problem of a class of strict-feedback system. Applying the fuzzy adaptive method, we can make the system trace the predicted output. One of the characters of this paper is the following: we connect the fuzzy method with backstepping, and enlarge the scale of the application of FZ adaptive method. The other character of this paper is that the Lyapunov function is an integral function, which is suitable for the recursive backstepping procedure.

关键词： Adaptive control nonlinear system strict-feedback system fuzzy control Luapunov function.

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Adaptive Inverse Optimal Control for a Class of Nonlinear system

Adaptive Inverse Optimal Control for a Class of Nonlinear Sy...

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第三十届中国控制会议

作者： WANG Jun,JI Ping,CHU Zhong,LIU Wei Key Lab of Machine Vision and Intelligence Control Technology,Hefei University,Hefei 230601,P.R.China

＜正＞This paper introduces the basic idea of adaptive inverse optimal control,gives the solvable theorem of inverse optimal gain assignment problem,design inverse optimal controller using Backstepping algorithm and an adaptive update law for strict-feedback nonlinear continuous system with unknown time-varing bounded disturbance and constant unknown parameters,which is nonlinear,continuous and easier to *** adaptive control law and the parameter update laws can be obtained at the same time by this design *** results designed show simultaneously that inverse optimal systems yield stability margins,namely,achieving locally robustness,which is a nonlinear analog of Kalman’s margins for the linear quadratic regulator.

关键词： strict-feedback system Unknown Time-Varing Bounded Disturbance Inverse Optimal Backstepping Algorithm Adaptive

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