An Identification Procedure for Discrete Linear Multivariable Systems.
YALE UNIV NEW HAVEN CONN BECTON CENTER
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In the paper, the direct method of Lyapunov is employed to outline a procedure for the identification of a discrete multivariable system from the measurements on the inputs and the state variables of the system. It is assumed that all the state variables of the plant are accessible and that there is no measurement noise. The procedure results in the convergence of every parameter of a model to the corresponding one of the system as the number of stages k nears infinity. The overall process is also shown to be asymptotically stable. Author
- Theoretical Mathematics