@inproceedings{9db29263317149e5aad516a0fcf81e02,
title = "State dependent differential Riccati equation for nonlinear estimation and control",
abstract = "State-dependent Riccati equation (SDRE) methods for designing control algorithms and observers for nonlinear processes entail the use of algebraic Riccati equations. These methods have yielded a number of impressive results, however, they can be computationally quite intensive and thus far they have not yielded to those attempting to assess their stability. This paper explores an alternative, the use of state dependent differential Riccati equations and numerical integration to propagate their solutions forward in time. Stability is examined and examples illustrating the use of these methods are given.",
keywords = "Computational methods, Nonlinear control, Nonlinear estimation, Riccati equation",
author = "Haessig, {David A.} and Bernard Friedland",
note = "Publisher Copyright: Copyright {\textcopyright} 2002 IFAC.; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",
year = "2002",
doi = "10.3182/20020721-6-es-1901.00229",
language = "English (US)",
isbn = "9783902661746",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "405--410",
editor = "Gabriel Ferrate and Camacho, {Eduardo F.} and Luis Basanez and {de la Puente}, {Juan. A.}",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
address = "Austria",
edition = "1",
}