An augmented LKF approach involving derivative information of both state and delay

IEEE Transactions on Neural Networks

Volumn 21, Issue 7, 2010, Pages 1100-1109

  Zheng, Cheng De ^a   Zhang, Huaguang ^b   Wang, Zhanshan ^b  

^a DALIAN JIAOTONG UNIVERSITY   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Augmented Lyapunov Krasovskii functional (LKF) approach; cellular neural networks; globally exponential stability; homeomorphism; Jensen integral inequality; linear matrix inequality (LMI)

Indexed keywords

AUGMENTED LYAPUNOV-KRASOVSKII FUNCTIONAL (LKF) APPROACH; DERIVATIVE INFORMATION; EQUILIBRIUM POINT; FREE-WEIGHTING MATRIX METHOD; GLOBALLY EXPONENTIAL STABILITY; INTEGRAL INEQUALITIES; LINEAR MATRIX INEQUALITY TECHNIQUES; LYAPUNOV-KRASOVSKII FUNCTIONALS; SUBINTERVALS; SUFFICIENT CONDITIONS; TIME-VARYING DELAY;

EXPONENTIAL FUNCTIONS; FREQUENCY SELECTIVE FADING; FUZZY CONTROL; LINEAR MATRIX INEQUALITIES; LYAPUNOV FUNCTIONS; TIME VARYING NETWORKS; UNCERTAIN SYSTEMS;

CELLULAR NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; HUMAN; INFORMATION RETRIEVAL; SIGNAL PROCESSING; TIME;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; INFORMATION STORAGE AND RETRIEVAL; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 77954563688     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2048434     Document Type: Article

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