Cooperative H-infinity Estimation for Large-Scale Interconnected Linear Systems

TL;DR

This paper introduces a distributed estimation method for large interconnected linear systems that maintains low complexity and guarantees H-infinity performance despite local detectability issues.

Contribution

The paper proposes a novel synthesis approach for distributed estimators that handle large-scale systems with disturbances, ensuring performance without increasing estimator complexity.

Findings

Estimators only estimate a reduced set of state variables.

Estimation complexity does not grow with system size.

Guarantees H-infinity performance under disturbances.

Abstract

In this paper, a synthesis method for distributed estimation is presented, which is suitable for dealing with large-scale interconnected linear systems with disturbance. The main feature of the proposed method is that local estimators only estimate a reduced set of state variables and their complexity does not increase with the size of the system. Nevertheless, the local estimators are able to deal with lack of local detectability. Moreover, the estimators guarantee H-infinity-performance of the estimates with respect to model and measurement disturbances.