MODEL PREDICTIVE CONTROL and optimization
نویسنده
چکیده
An extended state space (ESS) model, familiar in subspace identification theory, is used for the development of a model based predictive control algorithm for linear model structures. In the ESS model, the state vector consists of system outputs, which eliminates the need for a state estimator. A framework for model based predictive control is presented. Both general linear state space model structures and finite impulse response models fit into this framework.
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