Results 1 to 10 of about 34,305 (262)
Classical control algorithms require an exact specification of reference values, however, it is difficult to give exact definitions of properties such as the warmth of a heater, the color of a piece of fabric or the speed of a car. Fuzzy logic uses rules on linguistic variables such as “fast” and “slow” to implement control algorithms.
Mordechai Ben-Ari, Francesco Mondada
+4 more sources
Expert supervision of conventional control systems [PDF]
The objective of this paper is to outline a general concept for the design of supervising fuzzy controllers to back up or monitor a conventzonal control system.
Ewers, Bernd +3 more
core +1 more source
Although fuzzy logic theory was proposed about three decades ago, it is only until recently that fuzzy control technology has been successfully applied to many industrial systems and domestic appliances. Much of these developments is mainly due to a better understanding of the concept of fuzzy logic, its simplicity of implementation, and its ...
Khalid, Marzuki, Omatu, Sigeru
openaire +4 more sources
Energy Management Strategy for Commercial Buildings Integrating PV and Storage Systems [PDF]
This paper presents an energy management strategy for a commercial building in supermarket application. Some objectives are established as load shedding, to reduce the electricity bill and the CO2 emissions of commercial building, such as supermarkets ...
COLAS, Frédéric +11 more
core +1 more source
Thermal comfort based fuzzy logic control
Most heating, ventilation and air conditioning (HVAC) control systems are considered as temperature control problems. In this work, the predicted mean vote (PMV) is used to control the indoor temperature of a space by setting it at a point where the PMV ...
Underwood, Chris +2 more
core +1 more source
Fuzzy Logic Aided Dynamic Source Routing in Cross-Layer Operation Assisted Ad Hoc Networks [PDF]
The classic Dynamic Source Routing (DSR) protocol opts for the route requiring the lowest number of hops for transmitting data from the source to the destination.
Soon Xin Ng +5 more
core +1 more source
VHDL-AMS based genetic optimisation of fuzzy logic controllers
Purpose – This paper presents a VHDL-AMS based genetic optimisation methodology for fuzzy logic controllers (FLCs) used in complex automotive systems and modelled in mixed physical domains.
T.J. Kazmierski +3 more
core +1 more source
Improvement of flight simulator feeling using adaptive fuzzy backlash compensation [PDF]
In this paper we addressed the problem of improving the control of DC motors used for the specific application of a 3 degrees of freedom moving base flight simulator.
Bordeneuve-Guibé, Joël, Amara, Zied
core
Fuzzy logic control of automated guided vehicle [PDF]
This thesis describes the fuzzy logic based control system for an automated guided vehicle ( AGV ) designed to navigate from one position and orientation to another while avoiding obstacles.
Baxter, Jeremy
core
Expert supervision of an anti-skid control system of a commercial aircraft [PDF]
A rule-based supervising system that incorporates fuzzy logic has been designed to back-up a conventional anti-skid braking system (ABS). Expressing the expert knowledge about the ABS in terms of linguistic rules, the supervising fuzzy system adapts the ...
Ewers, Bernd +3 more
core

