We discuss a problem of the dynamic reconstruction of unknown input controls in nonlinear vector equations. A regularizing algorithm is proposed for reconstructing these controls simultaneously with the processes. The algorithm is stable with respect to informational noises and computational errors. © 2013 IFIP International Federation for Information Processing.German Sci. Found. (DFG) Eur. Sci. Found. (ESF);Natl. Inst. Res. Comput. Sci. Control France (INRIA);DFG Research Center MATHEON;Weierstrass Institute for Applied Analysis and Stochastics (WIAS);European Patent Offic
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Abstract—We consider the problem of dynamic reconstruction of the input in a system de-scribed by a ...
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This paper is devoted to inverse problems of the control theory, namely, the dynamic control reconst...
The paper discusses a method of auxiliary controlled models and the application of this method to so...
From the viewpoint of the approach of the theory of dynamic inversion, an input reconstruction probl...
We present and discuss a new approach to solutions of control reconstruction problems in real time. ...
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We consider dynamic reconstruction (DR) problems for controlled dynamical systems linear in controls...
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AbstractWe present an algorithm for the identification of an unknown but bounded input to a nonlinea...
We discuss a technical approach, based on the method of regularized extremal shift (RES), intended t...
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We obtain an upper bound for the accuracy of a modification of the finite-step dynamical reconstruct...
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