Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3494-3501

  Liu, Qingshan ^a   Cao, Jinde ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Discrete time recurrent neural network; Globally exponentially stable; Quadratic programming

Indexed keywords

CONSTRAINED QUADRATIC PROGRAMMING; DISCRETE TIME RECURRENT NEURAL NETWORK; GLOBAL EXPONENTIAL STABILITY; GLOBALLY EXPONENTIALLY STABLE; LINEAR CONSTRAINTS; MODEL COMPLEXITY; ONE-LAYER STRUCTURES; QUADRATIC PROGRAMMING PROBLEMS;

QUADRATIC PROGRAMMING; RECURRENT NEURAL NETWORKS; TIME VARYING NETWORKS;

COMPUTER SIMULATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; GLOBAL EXPONENTIAL STABILIY; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PHENOMENA; MATHEMATICAL VARIABLE; PRIORITY JOURNAL; PROBLEM SOLVING; PROCESS MODEL; PROCESS OPTIMIZATION; SIMULATION; SYSTEM ANALYSIS;

EID: 80052945341     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.06.003     Document Type: Article

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