New convergence conditions for receding-horizon state estimation of nonlinear discrete-time systems

Proceedings of the IEEE Conference on Decision and Control

Volumn 2, Issue , 2004, Pages 2094-2099

  Alessandri, A ^a   Baglietto, M ^b   Battistelli, G ^b   Parisini, T ^c  

^a CNR   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

^c UNIVERSITY OF TRIESTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ERROR CORRECTION; ESTIMATION; FUNCTIONS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; SPURIOUS SIGNAL NOISE; VECTORS;

CONVERGENCE CONDITIONS; LEAST SQUARE APPROACH; NONLINEAR DISCRETE-TIME SYSTEMS; RECIDING HORIZON STATE ESTIMATION;

DISCRETE TIME CONTROL SYSTEMS;

EID: 14344252876     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2004.1430357     Document Type: Conference Paper

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