Initialization of a Nonlinear Identification Algorithm Applied to Laboratory Plant Data

New techniques for recursive identification of systems described by nonlinear ordinary differential equation models are discussed. The model is of black-box state space type, where the right-hand side function is estimated as a multi-variate polynomial in the states and inputs, with the parameters s...

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Veröffentlicht in:	IEEE transactions on control systems technology Jg. 16; H. 4; S. 708 - 716
Hauptverfasser:	Brus, L., Wigren, T., Carlsson, B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.07.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Approximation Automatic control Computer science; control theory; systems Control theory. Systems Differential equations Differentiation Exact sciences and technology Filtering algorithms Information technology Informationsteknik initialization Iterative algorithms Kalman filtering Kalman filters Laboratories Mathematical analysis Mathematical models Modelling and identification Nonlinear systems Nonlinearity Polynomials Predictive models Recursive recursive identification recursive prediction error method (RPEM) Reglerteknik State estimation State-space methods Studies Systems engineering Systemteknik Tanks TECHNOLOGY TEKNIKVETENSKAP Non linear estimation Differential equation Kalman filter recursive prediction error method (RPEM) Cascade control Non linear control Black box State space recursive identification State space method Recursive algorithm Modeling nonlinear systems Non linear model Recursive method initialization Kalman filtering System identification Differentiation
ISSN:	1063-6536, 1558-0865, 1558-0865
Online-Zugang:	Volltext
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