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Methods are presented for tracking the variable parameters of sampled-data systems by a model. Both linear and nonlinear systems are considered and use is made of parameter sensitivity functions. The proposed schemes are divided into the identification error method and the output error method. Under suitable assumptions, the identification error method ensures that the system is closely tracked by the corresponding model parameters. The examples are simulated on IBM 360/67 computer using CSMP language.