what is model predictive control toolbox? video -凯发官方首页

model predictive control toolbox™ provides functions, an app, simulink^® blocks, and reference examples for developing model predictive control (mpc). for linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled mpc. for nonlinear problems, you can implement single- and multistage nonlinear mpc. the toolbox provides deployable optimization solvers and also enables you to use a custom solver.

you can evaluate controller performance in matlab^® and simulink by running closed-loop simulations. for automated driving, you can also use the provided misra c^®– and iso^® 26262–compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications.

the toolbox supports c and cuda^® code and iec 61131-3 structured text generation.