Gain-scheduled model predictive control switches between a predefined set of MPC controllers, in a coordinated fashion, to control a nonlinear plant over a wide range of operating conditions. Use this approach if a single prediction model cannot provide adequate controller performance. To implement gain-scheduled MPC, first design a model predictive controller for each operating point, and then design a scheduling signal that switches the controllers at run time. To reduce online computational effort, you can also implement gain-scheduled explicit MPC in Simulink^®. For more information, seeGain-Scheduled MPC.