State Estimation in Coordinated Control with a Non-Standard Information Architecture
| Authors: | Yan Jun, University of California, San Diego, United States
Kang Keunmo, University of California, San Diego, United States
Bitmead Robert, University of California, San Diego, United States |
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| Topic: | 2.4 Optimal Control |
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| Session: | Optimal Control and Estimation in Linear Systems |
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| Keywords: | optimal estimation, coordinated control, covariance |
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Abstract
An optimal estimation problem is studied with a non-classicalinformation architecture in the vehicle formation,coordinated control context. This information architecture prohibitsthe direct application of Kalman filter approaches. This paper showsthat such a suboptimal feasible estimator is attainable by recastingit as a linear matrix inequality convex optimization problem. Asimple example is given and several interesting design issues arethen discussed.
