Detection and estimation for abruptly changing systems

Keywords

Markov chain, Computation, Computer science, Markov process, Set (abstract data type)

References

• Sequential Detection with Markov Interrupted Observations.Hadidi,M T, Schwartz,S C — 1979
• Applied Optimal EstimationA. Gelb — 1974
• Detection, Estimation, and Modulation Theory, Part IHarry L. Van Trees — 1968
• Partitioning: A unifying framework for adaptive systems, I: EstimationD.G. Lainiotis — 1976
• On estimation of discrete processes under multiplicative and additive noise conditionsA.G. Jaffer, S.C. Gupta — 1971
• Learning with a probabilistic teacherAshok K. Agrawala — 1970
• Unsupervised learning in nongaussian pattern recognitionP.K. Rajasekaran, M Srinath — 1972
• Recursive Bayesian estimation with uncertain observation (Corresp.)A.G. Jaffer, S.C. Gupta — 1971
• Truncated ML estimation of transition probabilities for systems with interrupted observationsJ.K. Tugnait — 1980
• Simultaneous failure detection and estimation in linear systemsAlper Çağlayan — 1980
• Dynamic model-based techniques for the detection of incidents on freewaysAlan S. Willsky, Elaine Chow, Stanley B. Gershwin — 1980
• Adaptive estimation for a linear system with interrupted observationY. Sawaragi, Tohru Katayama, Satoru Fujishige — 1973
• Control of systems subject to sudden change in characterDavid D. Sworder — 1976
• Bayesian outlier rejection and state estimationTerrence P. McGarty — 1975
• An adaptive state estimation solution to the maneuvering target problemR. Moose — 1975
• Analysis of Multimodal SystemsJuergen H. Bruckner, Ronald W. Scott, F. G. Rea — 1973
• Optimal sequential estimation of discrete processes with Markov interrupted observationsA.G. Jaffer, S.C. Gupta — 1971
• Random sampling approach to state estimation in switching environmentsHajime AKASHI, Hiromitsu Kumamoto — 1977
• An approach to recursive identification of abruptly changing systemsMille Millnert — 1980
• Stochastic systems and state estimationBrian R. Hunt, Terrence P. McGarty — 1974

Cited by

• Single Integrated Air Picture (SIAP) Metrics ImplementationPaul Votruba, Rich Nisley, Ron Rothrock — 2001
• Robust sensing for force-controlled assemblyHerman Bruyninckx, Geir Hovland, J McCarragher — 1997
• Methods for Reachability-based Hybrid Controller DesignJerry Ding — 2012
• Generalized Principal Component AnalysisRené Vidal, Yi Ma, Srikumar Sastry — 2016
• Bayesian Filtering for Discrete-Time Systems with Random StructureE. Kliokys, Rudolf Kulhavý — 1990
• Leveraging cloud data to mitigate user experience from ‘breaking bad’Nicholas A. James, Arun Kejariwal, David S. Matteson — 2014
• Building Robust Simulation-based Filters for Evolving Data SetsJames R. Carpenter, Peter Clifford, Paul Fearnhead — 2007
• An application of nonlinear filtering to instrument failure detection in a pressurized water reactorSteven J. Eckert, Kenneth A. Loparo, Zvi S. Roth — 1986
• Diagnostic des systèmes à changement de régime de fonctionnementElom Ayih Domlan — 2006
• Self-Organizing Stochastic Control SystemsA.I. Petrov, A.G. Zubov — 1986
• Target Tracking in Complex ScenariosDaniel Svensson — 2010
• Parallel Tracking SystemsCarlos Hulot — 1995
• Fundamentals of Object TrackingSubhash Challa, Mark R. Morelande, Darko Mušicki — 2011
• The Tobit Kalman filter: An estimator for censored dataBethany Allik — 2014
• Méthodes approchées de maximum de vraisemblances pour la classification et identification aveugles en communications numériquesSteffen Barembruch — 2010
• A Cramer-Rao type lower bound for the estimation error of systems with measurement faultsI. M. Rapoport, Yaakov Oshman — 2003
• Optimal filtering in the presence of faulty measurement biasesI. M. Rapoport, Yaakov Oshman — 2002
• On Singularly Perturbed Switched Parameter SystemsM. V. Jose, A. Haddad — 1987
• Sequential Monte Carlo Filters and Integrated NavigationPer-Johan Nordlund — 2002
• A framework for non-Gaussian signal modeling and estimationS. Verbout — 1999

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