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Parameter and State Estimation for Uncertain Linear Systems by Multiple Observers
Eiichi Muramatsu,Masao Ikeda 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
A parameter and state estimation problem is considered for uncertain linear time-invariant systems. Under a certain condition, it is shown that the state of the system can be asymptotically described by a linear combination of state estimates generated by suitable multiple observers, where the weights of the linear combination are the parameters to be estimated. Using this property, a computation method is proposed for simultaneous estimation of the parameters and the state from the output data of the plant and multiple observers.