Details

Autor(en) / Beteiligte

• Fomin, Vladimir

Titel

Optimal Filtering : Volume I: Filtering of Stochastic Processes [Elektronische Ressource]

Ist Teil von

• Mathematics and Its Applications : 457

Ort / Verlag

Dordrecht : Springer Netherlands

Erscheinungsjahr

1999

Link zum Volltext

• Volltext

Link zu anderen Inhalten

• Volltext

Beschreibungen/Notizen

• This book is devoted to an investigation of some important problems of modern filtering theory concerned with systems of 'any nature being able to perceive, store and process an information and apply it for control and regulation'. (The above quotation is taken from the preface to [27]). Despite the fact that filtering theory is l'argely worked out (and its major issues such as the Wiener-Kolmogorov theory of optimal filtering of stationary processes and Kalman-Bucy recursive filtering theory have become classical) a development of the theory is far from complete. A great deal of recent activity in this area is observed, researchers are trying consistently to generalize famous results, extend them to more broad classes of processes, realize and justify more simple procedures for processing measurement data in order to obtain more efficient filtering algorithms. As to nonlinear filtering, it remains much as fragmentary. Here much progress has been made by R. L. Stratonovich and his successors in the area of filtering of Markov processes. In this volume an effort is made to advance in certain of these issues. The monograph has evolved over many years, coming of age by stages. First it was an impressive job of gathering together the bulk of the important contributions to estimation theory, an understanding and modernization of some of its results and methods, with the intention of applying them to recursive filtering problems