A decentralized optimal LQ state observer based on an augmented Lagrangian approach

This paper is devoted to the design of a decentralized optimal batch LQ state observer for state estimation of large-scale interconnected systems, well suited for implementation on a sensor network. The here-proposed approach relies on both the use of an augmented Lagrangian formulation and a price-decomposition-coordination algorithm. The state estimation of an openchannel hydraulic system illustrates the effectiveness of this approach and is used to provide a comparison with alternative methods.