Adaptive neural network tracking for a class of Markov jump stochastic nonlinear systems based on Extreme Learning Machine

机译：基于极端学习机的马尔可夫跳跃随机非线性系统的自适应神经网络跟踪

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In this paper, the tracking problem is proposed for a class stochastic nonlinear systems with Markov jump based on neural network. By using backstepping method and Lyapunov function, the adaptive controller is designed to guarantee such the Markov jump stochastic nonlinear systems is asymptotically stable and track the desired reference model. The single hidden layer feed-forward neural network (SLFNN) is employed to approximate the unknown nonlinear functions, and the hidden layer node parameters are trained by extreme learning machine (ELM) algorithms. A simulation example demonstrates the effectiveness of the proposed method.

机译：本文提出了基于神经网络的马尔可夫跳跃的类随机非线性系统的跟踪问题。通过使用BackStepping方法和Lyapunov功能，自适应控制器设计为保证，Markov跳跃随机非线性系统渐近稳定并跟踪所需的参考模型。单个隐藏层前馈神经网络（SLFNN）用于近似未知的非线性函数，并且隐藏的层节点参数由极端学习机（ELM）算法训练。仿真示例展示了所提出的方法的有效性。

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《IEEE Chinese Guidance, Navigation and Control Conference》|2016年|1 v.|共6页
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Pengpeng Wang; Fei Long; Yi Tan;
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中图分类飞行控制系统与导航;
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Markov processes; Neural networks; Nonlinear systems; Adaptive systems; Approximation algorithms; Generators;

机译：马尔可夫进程;神经网络;非线性系统;自适应系统;近似算法;发电机;

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1. Neural-network-based adaptive tracking control for Markovian jump nonlinear systems with unmodeled dynamics [J] . Chang Ru, Fang Yiming, Li Jianxiong, Neurocomputing . 2016,第Feba29期

机译：马尔可夫跳跃非线性系统的基于神经网络的自适应跟踪控制
2. Event-triggered adaptive tracking control for a class of uncertain stochastic nonlinear systems with Markov jumping parameters [J] . He Miao, Li Junmin International Journal of Adaptive Control and Signal Processing . 2018,第12期

机译：一类具有马尔可夫跳跃参数的不确定随机非线性系统的事件触发自适应跟踪控制
3. Neural-network-based adaptive tracking control for a class of pure-feedback stochastic nonlinear systems with backlash-like hysteresis [J] . Qian Ma, Guozeng Cui, Ticao Jiao Neurocomputing . 2014,第nova20期

机译：一类具有反冲滞后的纯反馈随机非线性系统的基于神经网络的自适应跟踪控制
4. Adaptive neural network tracking for a class of Markov jump stochastic nonlinear systems based on Extreme Learning Machine [C] . Pengpeng Wang, Fei Long, Yi Tan IEEE Chinese Guidance, Navigation and Control Conference . 2016

机译：基于极限学习机的一类马尔可夫跳跃随机非线性系统的自适应神经网络跟踪
5. Fourier neural network based tracking control for nonlinear systems. [D] . Zuo, Wei. 2008

机译：基于傅立叶神经网络的非线性系统跟踪控制。
6. Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage mixed time delays and α-inverse Hölder activation functions [O] . C. Maharajan, R. Raja, Jinde Cao, -1

机译：具有泄漏混合时滞和α-逆Hölder激活函数的Markovian跳跃随机脉冲不确定BAM神经网络的全局指数稳定性
7. Wavelet Neural Network Observer Based Adaptive Tracking Control for a Class of Uncertain Nonlinear Delayed Systems Using Reinforcement Learning [O] . Manish Sharma, Ajay Verma 2012

机译：基于小波神经网络观测器的一类不确定非线性延迟系统的自适应跟踪控制

Adaptive neural network tracking for a class of Markov jump stochastic nonlinear systems based on Extreme Learning Machine

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