Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone

被引：18

作者：

Han, Yuqun ^{[1
]}

Zhu, Shanliang ^{[1
]}

Yang, Shuguo ^{[1
]}

机构：

[1] Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao 266061, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

关键词：

Tracking control; stochastic nonlinear systems; dead-zone; backstepping technique; multi-dimensional Taylor network; TIME-VARYING DELAY; CABLE-DRIVEN MANIPULATORS; OUTPUT-FEEDBACK CONTROL; DYNAMIC SURFACE CONTROL; TERMINAL SLIDING MODE; LASALLE-TYPE THEOREMS; NEURAL-NETWORK; UNMODELED DYNAMICS; MULTIAGENT SYSTEMS; STABILIZATION;

D O I：

10.1109/ACCESS.2018.2849511

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a multi-dimensional Taylor network (MTN) tracking control scheme is proposed for a class of stochastic nonlinear systems with unknown input dead-zone. The MTNs are used to approximate the nonlinearities, and then, an adaptive MTN controller is constructed via a backstepping technique. It is proved that the design MTN controller ensures that all signals of the closed-loop system remain bounded in probability, and the tracking error eventually converges to an arbitrarily small neighborhood around the origin in the sense of a mean quartic value. Finally, two numerical examples and one practical example are given to demonstrate the effectiveness of the proposed design method.

引用

页码：34543 / 34554

页数：12

共 48 条

[11] Distributed Adaptive Neural Network Output Tracking of Leader-Following High-Order Stochastic Nonlinear Multiagent Systems With Unknown Dead-Zone Input [J].

Hua, Changchun ;

Zhang, Liuliu ;

Guan, Xinping .

IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (01) :177-185

[12] Stability analysis and dynamic regulation of multi-dimensional Taylor network controller for SISO nonlinear systems with time-varying delay [J].

Kang, An-Ming ;

Yan, Hong-Sen .

ISA TRANSACTIONS, 2018, 73 :31-39

[13]

Kang AM, 2015, INT C CONTR AUTOMAT, P903, DOI 10.1109/ICCAS.2015.7364750

[14] Adaptive Neural Control of Uncertain Nonstrict-Feedback Stochastic Nonlinear Systems with Output Constraint and Unknown Dead Zone [J].

Li, Hongyi ;

Bai, Lu ;

Wang, Lijie ;

Zhou, Qi ;

Wang, Huanqing .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (08) :2048-2059

[15] Adaptive NN output-feedback decentralized stabilization for a class of large-scale stochastic nonlinear strict-feedback systems [J].

Li, Jing ;

Chen, Weisheng ;

Li, Jun-Min .

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2011, 21 (04) :452-472

[16] Adaptive NN output-feedback stabilization for a class of stochastic nonlinear strict-feedback systems [J].

Li, Jing ;

Chen, Weisheng ;

Li, Junmin ;

Fang, Yiqi .

ISA TRANSACTIONS, 2009, 48 (04) :468-475

[17] Decentralized adaptive neural control of nonlinear systems with unknown time delays [J].

Li, Tieshan ;

Li, Ronghui ;

Li, Junfang .

NONLINEAR DYNAMICS, 2012, 67 (03) :2017-2026

[18] Distributed practical output tracking of high-order stochastic multi-agent systems with inherent nonlinear drift and diffusion terms [J].

Li, Wuquan ;

Zhang, Ji-Feng .

AUTOMATICA, 2014, 50 (12) :3231-3238

[19] The Improved LaSalle-Type Theorems for Stochastic Differential Delay Equations [J].

Li, Xiaoyue ;

Mao, Xuerong .

STOCHASTIC ANALYSIS AND APPLICATIONS, 2012, 30 (04) :568-589

[20] Direct adaptive controller for uncertain MIMO dynamic systems with time-varying delay and dead-zone inputs [J].

Li, Zhijun ;

Chen, Ziting ;

Fu, Jun ;

Sun, Changyin .

AUTOMATICA, 2016, 63 :287-291

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