ADAPTIVE NEURAL NETWORK STATE PREDICTOR AND TRACKING CONTROL FOR NONLINEAR TIME-DELAY SYSTEMS

被引：0

作者：

Na, Jing ^{[1
]}

Ren, Xuemei ^{[1
]}

Gao, Yan ^{[1
]}

Robert, Grino ^{[2
]}

Ramon, Costa-Castello ^{[2
]}

机构：

[1] Beijing Inst Technol, Educ Minist, Key Lab Complex Syst Intelligent Control & Decis, Dept Automat Control, Beijing 100081, Peoples R China

[2] Univ Politecn Cataluna, Inst Org & Control Sistemas Ind, Barcelona, Spain

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2010年 / 6卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Time-delay system; Neural network; State predictor; Feedback control; IDENTIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new adaptive nonlinear state predictor (ANSP) is presented for a class of unknown nonlinear systems with input time-delay. A dynamical identification with neural network (NN) is constructed to obtain. NN weights and their derivatives. The future NN weights are deduced for the nonlinear state predictor design without iterative calculations. The time-delay and unknown nonlinearity are compensated by a feedback control using the predicted states. Rigorous stability analysis for the identification, predictor and feedback control are provided by means of Lyapunov criterion. Simulations and practical experiments of a temperature control system are included to verify the effectiveness of the proposed scheme.

引用

页码：627 / 639

页数：13

共 25 条

[11] Generalized predictive control using recurrent fuzzy neural networks for industrial processes [J].

Lu, Chi-Huang ;

Tsai, Ching-Chih .

JOURNAL OF PROCESS CONTROL, 2007, 17 (01) :83-92

[12]

Na Jing, 2008, Acta Automatica Sinica, V34, P1196, DOI 10.3724/SP.J.1004.2008.01196

[13] Adaptive Neural Network State Predictor for Nonlinear Time-delay Systems [J].

Na Jing ;

Ren Xuemei ;

Chen Qiang ;

Xu Jiping ;

Gao Yan .

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, :638-643

[14]

Normey-Rico J.E., 2007, CONTROL DEAD TIME PR

[15] AN AUTO-TUNER FOR SMITH DEAD-TIME COMPENSATOR [J].

PALMOR, ZJ ;

BLAU, M .

INTERNATIONAL JOURNAL OF CONTROL, 1994, 60 (01) :117-135

[16] Identification of nonlinear systems with unknown time delay based on time-delay neural networks [J].

Ren, X. M. ;

Rad, A. B. .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (05) :1536-1541

[17] Time-delay systems: an overview of some recent advances and open problems [J].

Richard, JP .

AUTOMATICA, 2003, 39 (10) :1667-1694

[18] Neural-network-based d-step-ahead predictors for nonlinear systems with time delay [J].

Tan, YH ;

Van Cauwenberghe, A .

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1999, 12 (01) :21-35

[19] Nonlinear one-step-ahead control using neural networks: Control strategy and stability design [J].

Tan, YH ;

vanCauwenberghe, A .

AUTOMATICA, 1996, 32 (12) :1701-1706

[20] Adaptive generic model control for a class of nonlinear time-varying processes with input time delay [J].

Wang, D ;

Zhou, DH ;

Jin, YH ;

Qin, SJ .

JOURNAL OF PROCESS CONTROL, 2004, 14 (05) :517-531

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