Nonlinear Model Identification from Operating Records.
Final rept. Jun-Dec 79,
TEXAS A AND M UNIV COLLEGE STATION TELECOMMUNICATION AND CONTROL SYSTEMS LAB
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Two basic response error RE model-reference adaptive system MRAS identifiers are derived for nonlinear model identification without advance knowledge of the nonlinearities. The methods are developed and shown to be applicable for systems with input and output measurement noise. Design consideration, comparison of linear and nonlinear model fits to a nonlinear plant are given. The applicability of such an approach for the human operator model are discussed. Author
- Operations Research