Prediction Using Relational Models
Prediction is the problem of extrapolating a given signal sequence (or time series) into the future. The many theoretical assumptions required for the formulation of well-posed problems using relational models are stated. Specific issues of the identification and modelling of dynamic systems are studied. These include model feedback topologies, and the concerns with the maintenance of the set-theoretical (or logical) nature of fuzzy models during parameter estimation. Examples are included. A typical prediction application crystalized in the form of a predictive control algorithm is presented and applied to the control of a physical system.
KeywordsLution Reso Estima Claris
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