Abstract: MPC controller systems and methods are disclosed that may be applied to various different types of MPC controllers and methods for use in any desired or appropriate controller settings, such as physical systems with non-linearities that require careful modelling tactics, which are considered complex systems. Complex systems include fast systems which are those where solving the descriptive model of the system has the potential to surpass the closed loop sampling time required to control the system. Examples of complex fast systems are robot manipulators, quadracopters and injection speed of an injection molding process.

Abstract: A method or system for industrial process optimization, including sensing data about an industrial process cycle that operates according to a set of process setpoints; determining a target performance for the process cycle based on the sensed data; selecting process set-points from a hypothesis space for a future industrial process cycle based on the target performance, and updating the hypothesis space.