Inverse optimal noise-to-state stabilization of stochastic recurrent neural networks driven by noise of unknown covariance

Optimal Control Applications and Methods

Volumn 30, Issue 2, 2009, Pages 163-178

  Liu, Ziqian ^a   Wang, Qunjing ^b   Schurz, Henri ^c  

^a SUNY MARITIME COLLEGE   (United States)

^b HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^c Southern Illinois University at Carbondale   (United States)

Author keywords

Differential game; Hamilton Jacobi Isaacs (HJI) equation; Inverse optimality; Lyapunov stability; Stochastic recurrent neural networks

Indexed keywords

DIFFERENTIAL GAME; HAMILTON-JACOBI-ISAACS (HJI) EQUATION; INVERSE OPTIMALITY; LYAPUNOV STABILITY; STOCHASTIC RECURRENT NEURAL NETWORKS;

CONTROL THEORY; GAME THEORY; MEATS; NONLINEAR CONTROL SYSTEMS; RANDOM PROCESSES; STABILIZATION; SYSTEM STABILITY; TELECOMMUNICATION NETWORKS;

RECURRENT NEURAL NETWORKS;

EID: 65249158437     PISSN: 01432087     EISSN: 10991514     Source Type: Journal    
DOI: 10.1002/oca.851     Document Type: Article

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