Synthesis and analysis of fuzzy logic finite state machine models

A common drawback of most linguistic models is that they are essentially static, time is not a parameter in describing the behavior of the process model, or they are unable to respond to a specific sequence of changes at the inputs of the system. Dynamic linguistic models can be implemented by fuzzy automata. Of the feasible solutions, at present, fuzzy logic RISC processors and fuzzy logic finite state machines (ASIC) seem to be most promising. The latter approach is taken into consideration. In this paper the model of the fuzzy-state-fuzzy-output (FSFO) finite state machine (FSM) is discussed in detail. The state membership function (SMF) is introduced and the FSFO FSM implementation by means of crisp-state-fuzzy-output (CSFO) FSM using SMF is proposed. The multivariable model and inference scheme are suggested based on CSFO and FSFO FSM