Intelligence-Based Hybrid Integration

In this chapter, intelligence-based design and control integration will be proposed for the manufacturing system that has a hybrid discrete/continuous dynamics. The fuzzy modeling method is first used to approximate the nonlinear process in a large operating region, upon which fuzzy control rules are developed to stabilize the process with the desired robust tracking performance. Then, the steady-state economic design and the controller design are integrated into a unified optimization, which will be solved by a particle swarm optimization (PSO)-based hierarchical optimization method. This intelligent solution can achieve the desired economic performance as well as the satisfactory dynamic performance. The proposed method is compared with the traditional sequential design method and a traditional integration method on controlling the temperature profile of a curing process in integrated circuits (IC) packaging industry.