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Adaptive Observer for Simultaneous State and Parameter Estimations for an Output Depending Normal Form
Author(s) -
Yu Lei,
Zheng Gang,
Boutat Driss
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1355
Subject(s) - control theory (sociology) , observer (physics) , nonlinear system , class (philosophy) , simple (philosophy) , state (computer science) , state observer , mathematics , computer science , control (management) , algorithm , artificial intelligence , physics , philosophy , epistemology , quantum mechanics
In this paper, we investigate the problem of simultaneous state and parameter estimation for a class of nonlinear systems which can be transformed into an output depending normal form. A new and simple adaptive observer for such class of systems is presented. Sufficient condition for the existence of the proposed observer is derived. A concrete application is given in order to highlight the effectiveness of the proposed result.