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STATE ESTIMATION IN COORDINATED CONTROL WITH A NON-STANDARD INFORMATION ARCHITECTURE

Abstract An optimal estimation problem is studied with a non-classical information architecture in the vehicle formation, coordinated control context. This information architecture prohibits the direct application of Kalman filter approaches. This paper shows that such a suboptimal feasible estimator is attainable by recasting it as a linear matrix inequality convex optimization problem. A simple example is given and several interesting design issues are then discussed.