Nonlinear predictive control based on a global model identified off-line
Tóm tắt
A model predictive control (MPC) strategy for the non-stationary nonlinear systems with operating point-dependent dynamics is presented. The MPC proposed does not require on-line parameters estimation, because its internal model is an off-line identified global (RBF-ARX.) model, which is a generalized ARX model with Gaussian radial basis function networks-based functional coefficients. The RBF-ARX model parameters are estimated using a quickly-convergent structured nonlinear parameter optimization method (SNPOM). The quadratic programming routines may be used to solve the MPC problem with constraints. Simulation study on a chemical process shows satisfactory modeling and control performance.
Từ khóa
#Predictive control #Predictive models #Parameter estimation #Quadratic programming #Nonlinear systems #Neural networks #Nonlinear dynamical systems #Mathematics #Sampling methods #Time varying systemsTài liệu tham khảo
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