Direct adaptive neural tracking control for a class of stochastic pure-feedback nonlinear systems with unknown dead-zone

Huanqing Wang; Bing Chen; Chong Lin

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Direct adaptive neural tracking control for a class of stochastic pure-feedback nonlinear systems with unknown dead-zone

机译：一类具有未知死区的随机纯反馈非线性系统的直接自适应神经跟踪控制

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摘要

This paper considers the problem of adaptive neural tracking control for a class of nonlinear stochastic pure-feedback systems with unknown dead zone. Based on the radial basis function neural networks' online approximation capability, a novel adaptive neural controller is presented via backstepping technique. It is shown that the proposed controller guarantees that all the signals of the closed-loop system are semi-globally, uniformly bounded in probability, and the tracking error converges to an arbitrarily small neighborhood around the origin in the sense of mean quartic value. Simulation results further illustrate the effectiveness of the suggested control scheme.

机译：本文考虑了一类具有未知死区的非线性随机纯反馈系统的自适应神经跟踪控制问题。基于径向基函数神经网络的在线逼近能力，通过反步技术提出了一种新型的自适应神经控制器。结果表明，所提出的控制器保证了闭环系统的所有信号都是半全局的，概率均匀的有界，并且在平均四次值的意义上，跟踪误差收敛到原点周围任意小的邻域。仿真结果进一步说明了所建议控制方案的有效性。

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来源
《International Journal of Adaptive Control and Signal Processing》 |2013年第4期|302-322|共21页
作者
Huanqing Wang; Bing Chen; Chong Lin;
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作者单位

Bing Chen, Institute of Complexity Science, Qingdao University, Qingdao 266071, Shandong,China,School of Mathematics and Physics, Bohai University, Jinzhou 121000, Liaoning, China;

Bing Chen, Institute of Complexity Science, Qingdao University, Qingdao 266071, Shandong,China;

Bing Chen, Institute of Complexity Science, Qingdao University, Qingdao 266071, Shandong,China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类
关键词
adaptive neural control; stochastic pure-feedback nonlinear systems; backstepping;

机译：自适应神经控制随机纯反馈非线性系统;后退;

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专利

1. ADAPTIVE NEURAL TRACKING CONTROL FOR A CLASS OF STOCHASTIC NONLINEAR SYSTEMS WITH UNKNOWN DEAD-ZONE [J] . Huanqing Wang, Bing Chen, Chong Lin International Journal of Innovative Computing Information and Control . 2013,第8期

机译：具有未知死区的一类随机非线性系统的自适应神经跟踪控制
2. Adaptive non-backstepping fuzzy tracking control for a class of multiple-input–multiple-output pure-feedback systems with unknown dead-zones [J] . Wang R., Yu F.S., Wang J.Y. Control Theory & Applications, IET . 2014,第14期

机译：一类未知死区的多输入多输出纯反馈系统的自适应无反步模糊跟踪控制
3. Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network [J] . Han Yu-Qun, Zhu Shan-Liang, Duan De-Yu, Transactions of the Institute of Measurement and Control . 2019,第16期

机译：使用神经网络的未知死区输入的一类大型非线性系统的自适应分散跟踪控制
4. Adaptive neural control for a class of stochastic nonlinear pure-feedback systems with unknown control direction [C] . Yu Zhaoxu, Luo Jianxu, Du Hongbin 2011 30th Chinese Control Conference . 2011

机译：一类控制方向未知的随机非线性纯反馈系统的自适应神经控制
5. On-line modeling and inverse optimal control of a class of unknown nonlinear systems using dynamic neural networks. [D] . Farid, Farshad. 2006

机译：使用动态神经网络对一类未知非线性系统进行在线建模和逆最优控制。
6. Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities [O] . J. Humberto Pérez-Cruz, José de Jesús Rubio, Rodrigo Encinas, -1

机译：具有未知死区非线性的多输入不确定系统中指数轨迹跟踪的无奇异神经控制
7. Direct adaptive tracking control for a class of pure-feedback stochastic nonlinear systems based on fuzzy-approximation [O] . Wang Huanqing, Liu Xiaoping, Zhou Qi, 2014

机译：一类基于模糊逼近的纯反馈随机非线性系统的直接自适应跟踪控制

Direct adaptive neural tracking control for a class of stochastic pure-feedback nonlinear systems with unknown dead-zone

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