Observer-based stabilisation of some non-linear non-minimum phase systems using neural network

S.M. Hoseini; M. Farrokhi

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Observer-based stabilisation of some non-linear non-minimum phase systems using neural network

机译：基于神经网络的一些非线性非最小相位系统的基于观测器的镇定

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This paper presents a neuro-adaptive output-feedback stabilisation method for non-linear non-minimum phase systems with partially known Lipschitz continuous functions in their arguments. The proposed controller is comprised of a linear, a neuro-adaptive, and an adaptive robustifying control term. The adaptation laws for the neural network weights arc obtained using the Lyapunov's direct method. These adaptation laws employ a suitable output of a linear state observer that is realisable. The ultimate boundedness of the error signals will be shown through analytical work using Lyapunov's method. The effectiveness of the proposed scheme will be shown in simulations for the benchmark single flexible link manipulator and translation oscillator rotational actuator (TORA) problems.

机译：本文提出了一种针对非线性非最小相位系统的神经自适应输出反馈稳定方法，该系统具有部分已知的Lipschitz连续函数。所提出的控制器包括线性，神经自适应和自适应鲁棒控制项。使用Lyapunov直接方法获得了神经网络权重的自适应定律。这些自适应定律采用可实现的线性状态观测器的合适输出。误差信号的最终有界性将通过利雅普诺夫方法的分析工作显示出来。拟议方案的有效性将在基准基准单挠性连杆机械手和平移振荡器旋转执行器（TORA）问题的仿真中显示。

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《International Journal of Modelling, Identification and Control》 |2010年第2期|p.15-25|共11页
作者
S.M. Hoseini; M. Farrokhi;
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作者单位

Department of Electrical Engineering, Center of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Narmak, Frajam St., Tehran 16846, Iran;

Department of Electrical Engineering, Center of Excellence for Power System Automation and Operation, Iran University of Science and Technology, Narmak, Frajam St., Tehran 16846, Iran;

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正文语种 eng
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关键词
neuro-adaptive control; non-linear systems; non-minimum phase; output feedback;

机译：神经适应性控制非线性系统;非最小相位输出反馈;

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1. Semi-global stabilisation of a class of non-minimum phase non-linear output-feedback systems [J] . Z. Ding IEE Proceedings. Part D, Control Theory and Applications . 2005,第4期

机译：一类非最小相位非线性输出反馈系统的半全局镇定
2. Non-minimum phase nonlinear system predictive control based on local recurrent neural networks [J] . Yan Zhang, Zengqiag Chen, Zhuzhi Yuan Systems Engineering and Electronics, Journal of . 2003,第1期

机译：基于局部递归神经网络的非最小相位非线性系统预测控制
3. Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks [J] . 张燕, 陈增强, 袁著祉系统工程与电子技术（英文版） . 2003,第001期

机译：基于局部经常性神经网络的非最小相位非线性系统预测控制
4. Adaptive Stabilization for a Class of Non-Affine Non-minimum phase Systems using Neural Networks [C] . Bong-Jun Yang, Anthony J. Calise, The Institute of Electrical and Electronics EngineersInc. American Control Conference . 2006

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7. Interval sliding mode observer-based fault accommodation for non-minimum phase LPV systems with online control allocation [O] . Kangkang Zhang, Bin Jiang, Xinggang Yan, 2019

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8. Neural Self-Tuning Adaptive Control on Non-Minimum Phase System Developed forFlexible Robotic ARM [R] . Ho, L. T. 1994

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Observer-based stabilisation of some non-linear non-minimum phase systems using neural network

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