Model Predictive Control System Design and Implementation Using MATLAB (R) proposes methods for Design and Implementation of MPC systems Using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar Design frameworks; - a parsimonious parametric representation of the Control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of.
Model Predictive Control System Design and Implementation Using MATLAB (R) proposes methods for Design and Implementation of MPC systems Using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar Design frameworks; - a parsimonious parametric representation of the Control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of
