This paper concerns the filtering problem for a class of stochastic nonlinear systems where the drift term may depend either on some external function (open-loop system) or on the system output (closed-loop system), through a controller. Such systems are denoted feedback systems. The following result is proven: for feedback systems, the optimal filter in the open-loop case remains optimal when the feedback is closed. 1
AbstractThe paper treats the nonlinear filtering problem for jump-diffusion processes. The optimal f...
AbstractThis paper is concerned with Kalman–Bucy filtering problems of a forward and backward stocha...
Caption title.Includes bibliographical references (p. 27-33).Supported by the Army Research Office. ...
This paper concerns the ¯ltering problem for the class of stochastic nonlinear systems endowed with ...
Abstract: A receding horizon filtering problem for nonlinear continuous-time stochastic systems is ...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
We deal with nonlinear dynamical systems, consisting of a linear nominal part plus model uncertainti...
Published May 2000Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome ...
Graduation date: 1983A new approximation technique to a certain class of nonlinear\ud filtering prob...
This article develops a comprehensive framework for stability analysis of a broad class of commonly ...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
Necessary conditions are derived for stochastic partially observed control problems when the control...
International audienceThis article develops a comprehensive framework for stability analysis of a br...
Calvia A, Ferrari G. Nonlinear Filtering of Partially Observed Systems Arising in Singular Stochasti...
International audienceThis article develops a comprehensive framework for stability analysis of a br...
AbstractThe paper treats the nonlinear filtering problem for jump-diffusion processes. The optimal f...
AbstractThis paper is concerned with Kalman–Bucy filtering problems of a forward and backward stocha...
Caption title.Includes bibliographical references (p. 27-33).Supported by the Army Research Office. ...
This paper concerns the ¯ltering problem for the class of stochastic nonlinear systems endowed with ...
Abstract: A receding horizon filtering problem for nonlinear continuous-time stochastic systems is ...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
We deal with nonlinear dynamical systems, consisting of a linear nominal part plus model uncertainti...
Published May 2000Consiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7 Rome ...
Graduation date: 1983A new approximation technique to a certain class of nonlinear\ud filtering prob...
This article develops a comprehensive framework for stability analysis of a broad class of commonly ...
A lower and upper bound approach on the optimal mean square error is used to study the asymptotic be...
Necessary conditions are derived for stochastic partially observed control problems when the control...
International audienceThis article develops a comprehensive framework for stability analysis of a br...
Calvia A, Ferrari G. Nonlinear Filtering of Partially Observed Systems Arising in Singular Stochasti...
International audienceThis article develops a comprehensive framework for stability analysis of a br...
AbstractThe paper treats the nonlinear filtering problem for jump-diffusion processes. The optimal f...
AbstractThis paper is concerned with Kalman–Bucy filtering problems of a forward and backward stocha...
Caption title.Includes bibliographical references (p. 27-33).Supported by the Army Research Office. ...