Title :
Decentralized estimators for a large scale dynamic system
Author :
Mahil, Surjit S. ; Bommaraju, S.
Author_Institution :
Dept. of Eng., Purdue Univ., Hammond, IN, USA
Abstract :
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
Keywords :
large-scale systems; state estimation; decentralized estimators; large scale dynamic system; principal component analysis; robust subsystems; state estimators; strongly controllable states; strongly observable states; system decomposition; Actuators; Aerodynamics; Control systems; Fault diagnosis; Large-scale systems; Observers; Principal component analysis; Sensor systems; State estimation; State feedback;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271758
