Parameter Sensitive Control Applications

In some applications such as control systems and fuzzy systems, the system behavior and performance depends on certain parameters. These parameters may be real values or functions and can only be chosen after extensive realistic simulations. The traditional rapid prototyping methodology is hard to be used because different sets of parameters give different implementa- tions. We propose a prototyping framework for such systems which allows designers to rapidly create a prototype and efficiently test against parameters. For a given system specification, the collected parameters are determined in software to facilitate the modification during system tuning. The other parts represent the core computation that are required to compute a correct solution. This portion can be implemented as an early partial prototype and is, then, connected to the software part that computes parameter values. By doing so, designers can find satis- factory parameters under realistic computing situations. These parameters, together with the early prototype, form the design solution which can be sent to the manufacture process. Our approach provides the benefits of rapid specification, flexible tuning, hardware/software capa- bility, and shorter development process. The example in control systems is used to demonstrate the methodology.