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This paper proposes two identification methodologies, the VSS-based direct and indirect identification methods, to deal with the parameter identification problems of both linear and nonlinear systems. Parameter identifiability and convergence are studied. The validity of proposed algorithms is confirmed through some numerical simulation examples.
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