Interval Observation and Control for ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Interval Observation and Control for Continuous-Time Persidskii Systems
Author(s) :
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Polyakov, Andrey [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Ping, Xubin [Auteur]
Xidian University
Finite-time control and estimation for distributed systems [VALSE]
Polyakov, Andrey [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Ping, Xubin [Auteur]
Xidian University
Journal title :
IEEE Transactions on Automatic Control
Publisher :
Institute of Electrical and Electronics Engineers
Publication date :
2024-11-01
ISSN :
0018-9286
English keyword(s) :
Interval observers
Persidskii systems
Nonlinear systems
Robust control
Estimation
LMIs
Persidskii systems
Nonlinear systems
Robust control
Estimation
LMIs
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
The problems of interval estimation and stabilization are studied for a class of generalized Persidskii systems. For this class of models with nonlinearities satisfying the incremental passivity property, the nonnegativity ...
Show more >The problems of interval estimation and stabilization are studied for a class of generalized Persidskii systems. For this class of models with nonlinearities satisfying the incremental passivity property, the nonnegativity conditions are proposed and a nonlinear interval observer is synthesized. A nonlinear feedback is designed that uses the interval estimates. The conditions of stability of estimation and regulation errors are formulated using linear matrix inequalities. The efficiency of the proposed interval observer and controller is demonstrated for a recurrent neural network and a mechanical system with cubic nonlinearity.Show less >
Show more >The problems of interval estimation and stabilization are studied for a class of generalized Persidskii systems. For this class of models with nonlinearities satisfying the incremental passivity property, the nonnegativity conditions are proposed and a nonlinear interval observer is synthesized. A nonlinear feedback is designed that uses the interval estimates. The conditions of stability of estimation and regulation errors are formulated using linear matrix inequalities. The efficiency of the proposed interval observer and controller is demonstrated for a recurrent neural network and a mechanical system with cubic nonlinearity.Show less >
Language :
Anglais
Popular science :
Non
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