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Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990s. The common method is using switching schemes. However, these methods has some potential drawbacks. In this paper, a new multiple models scheme is proposed for a class strict-feedback nonlinear discrete-time systems. Firstly, we use feedback linearization and backstepping...
For a class of nonlinear discrete time system with fast time-varying or jumping parameters, a multiple models adaptive controller (MMAC) based on cluster-optimization is proposed. Based on the input-output data, the sample data are classified into several clusters by the fuzzy kernel clustering adaptive algorithm. Then the local models can be constructed corresponding clusters by the least square...
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