Title :
Some current directions in nonlinear estimation and filtering theory
Author_Institution :
University of California, Santa Barbara, CA
Abstract :
Nonlinear estimation and filtering theory began with the pioneering work of Stratonovich and Kushner. After several years of intense activity associated with applying their results (equations) to a great many applied problems of interest via various approximate solution techniques and associated with the development of more rigorous and more general approaches to the problem, several definite and distinct directions in the theory can now be identified. Some of these directions are described and discussed in this paper so as to provide a basis for assessing where the subject stands currently and where it seems to be going.
Keywords :
Computer science; Differential equations; Estimation theory; Filtering theory; Modems; Nonlinear equations; Nonlinear filters; Partial differential equations; Roentgenium; State estimation;
Conference_Titel :
Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
Conference_Location :
New Orleans, LA, USA
DOI :
10.1109/CDC.1977.271766