A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks

Neural Networks

Volumn 57, Issue , 2014, Pages 94-102

  Liu, Xiaoyang ^a,b   Ho, Daniel W C ^b,e   Yu, Wenwu ^c,d   Cao, Jinde ^c,d  

^a JIANGSU NORMAL UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c SOUTHEAST UNIVERSITY   (China)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^e NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Finite time stabilization; Neural networks; Switching scheme

Indexed keywords

NEURAL NETWORKS; NONLINEAR SYSTEMS;

CONTINUOUS CONTROL; DESIGN METHOD; FILIPPOV SOLUTIONS; FINITE TIME STABILIZATION; OPTIMAL PROTOCOLS; STABILIZATION TIME; SWITCHING PROTOCOLS; SWITCHING SCHEME;

STABILIZATION;

ARTICLE; CONTROL SYSTEM; FINITE TIME STABILIZATION; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROBLEM SOLVING; PROCESS DESIGN; PROCESS DEVELOPMENT; SYSTEM ANALYSIS; ALGORITHM; ARTIFICIAL NEURAL NETWORK; TIME;

ALGORITHMS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; TIME;

EID: 84902977579     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2014.05.025     Document Type: Article

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