Limited precision imposes limits on the complexity of analogue circuits, and hence fuzzy analogue controllers are usually oriented to fast low-power systems with low-medium complexity. A strategy to preserve most of the advantages of an analogue implementation, while allowing a marked increment in system complexity, is presented.Comisión Interministerial de Ciencia y Tecnología TIC96-1392-C02-0
The authors present a novel architecture for implementing general-purpose fuzzy chips which allows f...
A new architecture is presented for the implementation of fuzzy systems using analog-digital techniq...
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in...
Limits to precision impose limits to the complexity of analog circuits, hence fuzzy analog controll...
Analog circuits provide better area/power efficiency than their digital counterparts for low-medium ...
Analog circuits provide better area/power efficiency than their digital counterparts for low-medium ...
The low/medium precision required for many fuzzy applications makes analog circuits natural candidat...
This paper presents a mixed-signal neuro-fuzzy controller chip which, in terms of power consumption,...
We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital progr...
We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital progr...
Analog circuits are natural candidates to design fuzzy chips with optimum speed/power figures for pr...
This paper presents mixed-signal current-mode CMOS circuits to implement programmable fuzzy control...
We present a fuzzy inference chip capable to evaluate 16 programmable rules at a speed of 2.5Mflips ...
Analog circuits are natural candidates to design fuzzy chips with optimum speed/power figures for pr...
This paper describes a programmable fuzzy controller chip designed with mixed-signal IC techniques. ...
The authors present a novel architecture for implementing general-purpose fuzzy chips which allows f...
A new architecture is presented for the implementation of fuzzy systems using analog-digital techniq...
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in...
Limits to precision impose limits to the complexity of analog circuits, hence fuzzy analog controll...
Analog circuits provide better area/power efficiency than their digital counterparts for low-medium ...
Analog circuits provide better area/power efficiency than their digital counterparts for low-medium ...
The low/medium precision required for many fuzzy applications makes analog circuits natural candidat...
This paper presents a mixed-signal neuro-fuzzy controller chip which, in terms of power consumption,...
We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital progr...
We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital progr...
Analog circuits are natural candidates to design fuzzy chips with optimum speed/power figures for pr...
This paper presents mixed-signal current-mode CMOS circuits to implement programmable fuzzy control...
We present a fuzzy inference chip capable to evaluate 16 programmable rules at a speed of 2.5Mflips ...
Analog circuits are natural candidates to design fuzzy chips with optimum speed/power figures for pr...
This paper describes a programmable fuzzy controller chip designed with mixed-signal IC techniques. ...
The authors present a novel architecture for implementing general-purpose fuzzy chips which allows f...
A new architecture is presented for the implementation of fuzzy systems using analog-digital techniq...
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in...