A simple direct adaptive fuzzy controller derived from its neutral equivalent

The main point argued and illustrated here is the ease with which methods and ideas emerging in the connectionist community can be imported for control applications as soon as the fuzzy controller is supplied with a gradient-based automatic tuning of its parameters. Such a gradient method is applied for the simplest member of Sugeno's fuzzy systems. An example of a direct adaptive fuzzy controller derived from its neural equivalent is presented, and shown to compare favorably with its neural equivalent.<>