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Showing 1 to 9 of 9 for “"Robust state estimation"”.
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Robust state estimation in power systems
The application of robust estimation methods to the power system state estimation problem was investigated. Techniques using both nonlinear and combinatorial optimization were considered, based on the requirements that the method developed should be statistically robust, and fast enough to be used …
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On Robust State Estimation for Uncertain Systems
Made available in DSpace on 2014-12-12T20:54:33Z (GMT). No. of bitstreams: 1 7709178.pdf: 1982235 bytes, checksum: aeff47f8d0a6fa4c16ba834d6bf88088 (MD5) Previous issue date: 1976
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Asymmetric order-doubling and robust state estimation for uncertain nonminimum phase systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
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Robust State Estimation, Uncertainty Quantification, and Uncertainty Reduction with Applications to Wind Estimation
Indirect wind estimation onboard unmanned aerial systems (UASs) can be accomplished using existing air vehicle sensors along with a dynamic model of the UAS augmented with additional wind-related states. It is often desired to extract a mean component of the wind the from frequency fluctuations …
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Adaptation and Installation of a Robust State Estimation Package in the Eef Utility
Robust estimation methods have been successfully applied to the problem of power system state estimation in a real-time environment. The Schweppe-type GM-estimator with the Huber psi-function (SHGM) has been fully installed in conjunction with a topology processor in the EEF utility, headquartered …
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Robust Observation and Control of Complex Networks
… employed for solving in finite-time problems of robust state estimation and consensus-based synchronization in network of heterogenous nonlinear systems subjected to unknown but bounded disturbances and sudden topological changes. Both directed and undirected topologies have been taken into …
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State estimation of cooperative satellites for on-orbit assembly and servicing of spacecraft
The development of robust and routine execution of autonomous space-based proximity operations is a critical need for the future of space exploration and space-based business enterprise. One application of this host of activities, which includes rendezvous, capture, and docking, is on-orbit …
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Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators
Estimation methods such as the Kalman filter identify best state estimates based on certain optimality criteria using a model of the system and the observations. A common assumption underlying the estimation is that the noise is Gaussian. In practical systems though, one quite frequently encounters …
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A Naive, Robust and Stable State Estimate
… for feedback control of dynamic systems that is robust and stable is proposed. Simulations are run on the filters presented to investigate the robustness properties of each filter. Each simulation with the comparison of the filters is carried out using the usual mean squared error. The filters to …