Software tools to obtain a distributed universal fuzzy controller

TLDR: The authors have implemented a distributed universal fuzzy controller capable of adapting itself to deal with a specific process, which can run sequentially and in parallel on a network of transputers, its performance is being tested in an industrial application: the tuning of high frequency amplifiers.

Abstract: The authors have implemented a distributed universal fuzzy controller capable of adapting itself to deal with a specific process. Due to its distributed nature the controller can run sequentially, in a processor, or in parallel, in a net of processors when the application requires it. In order to implement the distributed universal fuzzy controller the authors have developed a system with the following components: (1) a language to describe the control problem in terms of fuzzy inputs, outputs and rules, defined by a Pb-grammar; (2) a language to represent internally the control problem in terms of elementary fuzzy processes defined by a Pe-grammar; (3) a library of the elementary fuzzy processes, mentioned in (2); and (4) a set of software tools. Among the software tools there are an extractor, a loader and an ender procedure. The extractor identifies the elementary and independent processes in which the fuzzy controller can be divided. This extractor receives the Pb-description of the control problem and it provides the Ps-description. The loader receives the Ps description and puts the elementary processes into the physical processors and also it starts its execution. When the user wants to finish the control task, the ender turns off the set of processes. The distributed universal fuzzy controller has been implemented sequentially and in parallel on a network of transputers, its performance is being tested in an industrial application: the tuning of high frequency amplifiers. >