ABSTRACT
This chapter considers a different perspective for controlling the rendering process. While conventional data-driven system identification strategies may be adopted to derive a rendering process model, the result may not necessarily imply that an accurate model can be derived without resolving certain technical challenges in data processing. One key element in a fuzzy control system is the use of fixed membership functions that were chosen arbitrarily. In other words, the applied fuzzy inference is applied only to systems whose rule structures are essentially predetermined by the user’s understanding and interpretation of the characteristics of the variables in the system model. The impact of delay on a control system should not affect a system’s ability to track user-defined performance targets noticeably. If a delay does affect the overall effectiveness of a control system, its effect should be modelled as part of the system as well.
