Analog MOS circuit design for reconfigurable fuzzy logic controller

The potential of fuzzy neural networks in the realization of approximate reasoning engines

“…Solutions include enhanced microcontrollers with fuzzy instructions and algorithmic tuning [5,47], largely parallel, parameterized hardware [6,21], or some combination of the two, such as microprocessors with separate fuzzy co-processing [41]. In general, development of these systems seems to be focused towards digital systems, although there has been some work done in the analog domain [10,42]. Current neural network hardware technological advancements were more closely examined, and it was found that while there was a broad range of implementation techniques, the majority of efforts could be classified as an analog [1,9,27,2], digital [11,37,44,48,49], or hybrid (mixed-signal) [30,18,19] solution.…”

A novel low voltage CMOS controllable fuzzy inference circuit

“…In the second process, fuzzy information is processed to give inference signals based on fuzzy rules, This is done by using fuzzy reasoning technique. At last the third process is converting back the inference signals to crisp signals as control action to real actuators [16,17]. Fuzzy inference is one of the most important parts in a FLC.…”

“…However hardware mode has the advantage of high processing speed which mades the hardware mode become more realistic in realtime applications. Furthermore in system design for massively electronic appliances and consumer products, hardware realization on integrated circuit has more economical advantages [17].…”

Design and implementation of a reconfigurable fuzzy inference processor

“…They originated from the works of Yamakawa et al [104,105]. It is further classified into current-mode [95,102,[106][107][108][109][110] and voltage-mode fuzzy inference processors [84,[111][112][113][114][115][116].…”