2009 IEEE International Conference on Control Applications 2009
DOI: 10.1109/cca.2009.5280779
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Sub-optimal risk-sensitive filtering for third degree polynomial stochastic systems

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Cited by 15 publications
(7 citation statements)
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“…In the following, we decouple the nominal and uncertain terms in the system matrices. The lateral dynamics in (13) can be further rewritten in the following form:…”
Section: Uncertain Vehicle Dynamics Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…In the following, we decouple the nominal and uncertain terms in the system matrices. The lateral dynamics in (13) can be further rewritten in the following form:…”
Section: Uncertain Vehicle Dynamics Modelmentioning
confidence: 99%
“…The robust control and estimation have been two popular research areas for a long time due to the fact that the uncertainty is unavoidable in the system modeling [11][12][13][14][15][16]. The robust scenario is not only against the system uncertainty, but also attenuate the effect of the external disturbance [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…As a special kind of hybrid systems, MJSs may be employed to model the dynamical systems which are subject to abrupt changes. In recent years, MJSs have been widely investigated and the existing results cover a large variety of problems such as stochastic stability [2][3][4][5], stochastic exponential stability, controller design [6][7][8][9][10][11][12][13][14], and filtering [15,16]. In spite of these developments, many of the above results are under the assumption that the systems investigated are subject to time-constant parameters.…”
Section: Introductionmentioning
confidence: 99%
“…One purpose of the filtering problem is to estimate the unavailable state variables of a given system, which is useful in control system analysis and synthesis. Therefore, the filtering problem has been extensively investigated in the past decades, see for example [1,2,16,17,19].…”
Section: Introductionmentioning
confidence: 99%