Electronics Optics & Control, Volume. 28, Issue 8, 11(2021)
Finite-Time Tracking Control of Pure-Feedback Systems with Input Saturation
A finite-time adaptive neural tracking control method is proposed for nonlinear pure-feedback systems with input saturation and output constraints.Finite-time control theoryBarrier Lyapunov functionand Radial Basis Function (RBF) neural network are used to design novel virtual and real input signalswhich solves the finite-time control problem of nonlinear pure-feedback systems with input saturation and output constraintsand ensures that the output of the system can track the reference signal within a finite time and the tracking error of the system is limited to a small neighborhood of the origin within a finite time under the condition of satisfying input saturation and output constraints.Finallya simulation experiment has clarified the effectiveness of the designed controller.
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HE Cheng, WU Jian, ZHANG Zhe. Finite-Time Tracking Control of Pure-Feedback Systems with Input Saturation[J]. Electronics Optics & Control, 2021, 28(8): 11
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Received: Aug. 2, 2020
Accepted: --
Published Online: Aug. 16, 2021
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