An adaptive state filtering algorithm for systems with partially known dynamics

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 124, Issue 3, 2002, Pages 364-374

  Parlos, Alexander G ^a   Menon, Sunil K ^b   Atiya, Amir F ^c  

^a Texas AandM University   (United States)

^b HONEYWELL TECHNOLOGY CENTER   (United States)

^c California Institute of Technology   (United States)

Author keywords

Adaptive State Filtering; Dynamic Neural Networks; Extended Kalman Filtering; Multi Step Prediction; Nonlinear State Filtering

Indexed keywords

ADAPTIVE STATE FILTERING; DYNAMIC NEURAL NETWORKS; EXTENDED KALMAN FILTERING; MULTI-STEP PREDICTION; NONLINEAR STATE FILTERING;

ADAPTIVE SYSTEMS; ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; INDUCTANCE; KALMAN FILTERING; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; VECTORS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0013439950     PISSN: 00220434     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1485747     Document Type: Article

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