| 초록 |
In this presentation, we will talk about several interesting issues on system identification. First, we will review the previous discrete-time/continuous-time system identification methods like prediction error methods, instrumental variable methods, subspace system identification method, continuous-time system identification methods using transform. Second, we will compare the continuous-time system identification methods with the discrete-time system identification methods and justifies the necessity of continuous-time system identification methods by exemplifying practical situations. Third, we will talk about the importance of choosing proper test signal for system identification. Fourth, we will present the nonlinear multivariable stochastic state space system identification as the ultimate goal of the future system identification.
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