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In order to reduce the computational load of the recursive least squares (RLS) algorithm, a decomposition based least squares algorithm is developed for non-uniformly sampled multirate systems. The main ideal is to decompose the identification model of the non-uniformly sampled systems into several submodels with smaller dimensions and fewer parameters based on the hierarchical identification principle...
Aimed at the limitations in previous research about integrating systems depending on a special field over last ten years, the paper proposes a general integrating platform which can be used in a variety of applications. In general, integrating systems suffer from performance bottlenecks due to network overhead. In order to address this problem, we introduce semantic caching mechanisms to reduce the...
A robust adaptive fuzzy tracking control problem is discussed for a class of uncertain MIMO nonlinear systems with strongly coupled interconnections. T-S fuzzy systems are used to approximate the unknown system uncertainties. Combining ldquodynamic surface control(DSC)rdquoapproach with ldquominimal learning parameters(MLP)rdquo algorithm, a systematic procedure for controller design is developed...
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