MODEL PREDICTIVE CONTROL SYSTEM DESIGN AND IMPLEMENTATION USING MATLAB

Model Predictive Control System Design and Implementation Using MATLAB^® 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 MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, detailed coverage is given to three industrial applications: a food extruder, a motor and a magnetic bearing system. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.