Building hybrid industrial process model mixed with rules

In process control fields it is hard to build precise model due to complexity and nonlinear of industrial process. To solve this problem, this paper proposes a framework for modeling and controlling systems integrating continuous variable linear model and rules. A predictive control scheme is proposed which is able to stabilize this framework on desired reference trajectories. This problem can be solved as Mixed-integer Linear Programming/ Constraint Programming (MILP/CP). We use MILP to optimize and find partial solutions and CP to check feasibility and produce complete solutions. An example demonstrates how problems can be modeled and solved using this framework.