Decentralized estimators for a large scale dynamic system

Principal component analysis is used to decompose a large scale dynamic system into robust subsystems. Decentralized state estimators are then designed to observe the states of the individual subsystems. The estimators are useful in the identification of states which are strongly controllable and/or strongly observable in the inputs and outputs, respectively. The decentralized estimators have few elements and are easy to implement and tune in real time. The decentralized estimators were verified by simulation. Simulation results are presented.<
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