
	Where results make sense

Topic: Fuzzy control system

Related Topics

Fuzzy set

Fuzzy logic

Boolean logic

Dynamic logic

Optical attenuator

Elevator

Space elevator

SdKfz 251

Lift (force)

Thirteenth floor

Tom Stafford

Topamax

Holton, Indiana

Claremont Consortium of Colleges

The Minus Man

	Fuzzy Control of Mobile Robots
		A fuzzy control function may be defined by using fuzzy sets as adjectives in a qualitative rule base.
		Fuzzy logic is used to keep the robot on the path, except when the danger of collision arises.
		When an obstacle is detected (in simulation) by one of the robot's proximity sensors, the fuzzy controller increases the speed of the wheel on that side to turn away from it.
	www.mindspring.com /~sggoodri/thesis/fuzzy.htm (1567 words)

	Fuzzy control system - Wikipedia, the free encyclopedia
		A Fuzzy control system is a control system based on fuzzy logic - a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 0 and 1 (true and false).
		Fuzzy logic was first proposed by Lotfi A. Zadeh of the University of California at Berkeley in a 1965 paper.
		Fuzzy systems were largely ignored in the U.S. because they were associated with artificial intelligence, a field that periodically oversells itself and which did so in a big way in the mid-1980s, resulting in a lack of credibility within the commercial domain.
	en.wikipedia.org /wiki/Fuzzy_control_system (3463 words)

	An Introduction To Fuzzy Control Systems (Site not responding. Last check: 2007-11-07)
		Fuzzy systems were largely ignored in the US because they were associated with artificial intelligence, a field that periodically oversells itself and which did so in a big way in the mid-1980s, resulting in a lack of credibility with industrial firms.
		The system determines the optimum wash cycle for any load to obtain the best results with the least amount of energy, detergent, and water; it even adjusts for dried-on foods by tracking the last time the door was opened and estimates the number of dishes by the number of times the door was opened.
		Research and development is also continuing on fuzzy applications in software (as opposed to firmware) design, including fuzzy expert systems and integration of fuzzy logic with neural-network and so-called adaptive "genetic" software systems, with the ultimate goal of building "self-learning" fuzzy control systems; however, this subject is beyond the scope of this document.
	www.evalife.dk /info/fuzzy_control.php (3582 words)

	An Introduction To Fuzzy Control Systems
		Fuzzy logic is a way of interfacing inherently analog processes, that move through a continuous range of values, to a digital computer, that likes to see things as well-defined discrete numeric values.
		Traditional control systems are based on mathematical models in which the the control system is described using one or more differential equations that define the system response to its inputs.
		Fuzzy systems were largely ignored in the US because they were associated with artificial intelligence, a field that periodically oversells itself and which did so in a big way in the mid-1980s, resulting in a lack of credibility in the commercial domain.
	www.faqs.org /docs/fuzzy (3086 words)

	Fuzzy Environmental Control
		Control of the environment for large computing systems is often a far greater challenge than for rooms inhabited by people.
		Uncertainties in system parameters are often present, for example, room size and shape, location of heat-producing equipment, thermal mass of equipment and walls, and amount and timing of external air introduction.
		It runs on a Motorola 6803 microprocessor, and is programmed in C. LogiCool's fuzzy input variables are: e_temperature, the temperature relative to a setpoint; delta_T/delta_t, the rate of temperature change; e_humidity, the humidity relative to a setpoint; delta_H/delta_t, the rate of humidity change; and two proprietary variables associated with the action of the controllers.
	www.austinlinks.com /Fuzzy/control.html (1151 words)

	LAR-DEIS Activities - Fuzzy logic control
		This activity is aimed to investigate the application of the fuzzy logic paradigm for the control of dynamic system.
		The fuzzy logic controller paradigm proposed is based an extension of the generalized modus ponens using the operations of disjunction and aggregation of fuzzy sets.
		To obtain a plant model in a linguistic form, suitable for the above algorithm, a novel identification procedure is under development.The application of a fuzzy logic controller to the control of a complex system is carried on in collaboration with the Institute for Earth-Moving Machinery and Off-RoadVehicles (CNR-Cemoter).
	www-lar.deis.unibo.it /activities/fuzzy.html (462 words)

	[No title]
		Fuzzy Logic Control of a Chemical Bath Edgar Dohmann Ortech Engineering Inc. 17000 El Camino Real #208 Houston, Texas 77058 Abstract - This paper describes how a conventional chemical bath control system was replaced with a fuzzy logic controller to improve quality and reduce operating and maintenance costs.
		Fuzzy logic is an ideal approach to such a system due to the large number of input and output variables involved.
		Fuzzy logic makes the on-line measurement of all components practical because individual chemical replenishment can be controlled by the fuzzy logic control system.
	www.ortech-engr.com /fuzzy/ftp_files/ChemContSys.txt (2049 words)

	Distributed Fuzzy Control
		Suppose we wish to design a controller for a system with N inputs, and each input i is to be described by Mi fuzzy sets.
		In the controller described by Cunningham [37], antecedent weights are intersected with the output sets to describe the control output as a fuzzy variable, and the centroid of this new membership function is calculated to provide a crisp value for sending to actuators.
		The output of Controller A is the centroid of the two shaded regions, which is calculated to be 64.
	www.mindspring.com /~sggoodri/thesis/layered.htm (1119 words)

	Introduction to fuzzy control (Site not responding. Last check: 2007-11-07)
		Fuzzy logic imitates the logic of human thought, which is much less rigid than the calculations computers generally perform.
		Another fuzzy rule from Table 1 says that if current error is "zero" and error change is "zero," our output should be "zero." There is a fuzzy output corresponding to "zero", similar to the fuzzy output for "negative" on the right in Figure 1.
		So there are actually two fuzzy outputs: a "negative" output with a 0.5 level of membership and a "zero" output with a different level of membership.
	www.embedded.com /shared/printableArticle.jhtml?articleID=10700619 (1176 words)

	Fuzzy Application Library/Technical Applications/Complex Chilling systems
		Analytical system knowledge of the building and FC- system as described in 3.1, must be considered for the formulation of the rules of the fuzzy control system.
		The fuzzy control system must ensure supply of the needed cooling power during the operation time of the building by lowest cost and shortest system operation time with a low range of set point error for the supply temperature.
		This unsatisfied system behaviour was realised by PLC functions, which does not have the ability of fine tuning for the system operation as it is realised now by fuzzy control system.
	www.fuzzytech.com /e/e_a_kli.html (3269 words)

	Variable Speed Limit Device Proposal (Site not responding. Last check: 2007-11-07)
		Fuzzy systems are well suited to the control of complex non-linear systems where classical mathematical analysis is difficult and imprecision is an inherent part of the problem domain.
		However, the simulated system could be made available to the real “experts” so that they could also be involved in testing the system by comparing their intuitive notion of what the input-output relationships should be with the actual performance of the simulated system.
		Development of the fuzzy control algorithm, the heart of the final fuzzy system, will involve extensive interviews with police officers, highway maintenance workers, ADOT engineers and other personnel with knowledge of the important parameters and issues related to safe driving speeds on the highway chosen for deployment.
	www.cet.nau.edu /~adot/proposal.html (2490 words)

	Notes on Fuzzy Logic, Marshall Soules (Site not responding. Last check: 2007-11-07)
		Fuzzy Logic is basically a multivalued logic that allows intermediate values to be defined between conventional evaluations like yes/no, true/false, fl/white, etc. Notions like rather warm or pretty cold can be formulated mathematically and processed by computers.
		Fuzzy Logic was initiated in 1965 by Lotfi A. Zadeh, professor for computer science at the University of California in Berkeley.
		Work on fuzzy systems is also proceeding in the US and Europe, though not with the same enthusiasm shown in Japan.The US Environmental Protection Agency has investigated fuzzy control for energy-efficient motors, and NASA has studied fuzzy control for automated space docking: simulations show that a fuzzy control system can greatly reduce fuel consumption.
	www.mala.bc.ca /~soules/media112/fuzzy.htm (824 words)

	Case Details
		It was anticipated that the fuzzy control algorithm would use the collected data to determine a safe speed.
		System designers suggested an open communication channel that would allow police or ADOT personnel to send a signal to the fuzzy controller.
		To generate the system outputs (i.e., the posted speed limit,) the fuzzy control algorithm used a fuzzy logic system of speed management.
	www.its.dot.gov /rural/CaseDetails.asp?ID=16 (1101 words)

	[No title] (Site not responding. Last check: 2007-11-07)
		Or, a fuzzy logic system may be able to make the necessary adjustments in the aircraft controls to save the flight.
		Fuzzy logic may be a preferred method because conventional control systems are based on mathematical differential equations, which sometimes do not facilitate the translation of human problem-solving techniques into a computer algorithm.
		The next step in the research is to study the stability of a fuzzy learning control system and decide how the system would be integrated in an aircraft and used by a pilot, Yurkovich said.
	researchnews.osu.edu /archive/fuzzy.htm (604 words)

	Fuzzy Controllers
		Since fuzzy logic was introduced by Lotfi Zadeh in 1965 a lot of successful applications mostly in control have appeared.
		This "fuzzy" boom has caused strong interest in this area and is accompanied by the boom in studying and teaching fuzzy theory and technology.
		Fuzzy controller as a part of a feedback system 3.5.2.
	www.cs.rit.edu /~lr/book1.htm (727 words)

	Fuzzy logic tutorial. (Site not responding. Last check: 2007-11-07)
		By controlling the pulse width of the 40-8 output, the average value of the output is the equivalent of varying the level of the output in an analog fashion.
		For more complex systems with additional inputs (for example, using rate of change as an input in addition to speed error), the approach is as above, but there are two or more "sub-outputs" to be considered in arriving at one crisp output to control the system.
		The fuzzy logic program in the computer directs sending messages to and receiving messages from the controller, thereby directing the measurement and control operation and causing target and actual speed to be displayed.
	www.fuzzy-logic.com /ch3.htm (2766 words)

	Fuzzy logic control system design using genetic algorithms
		For designing a classical or modern control system, it is necessary to have an accurate nominal model of the plant which is to be controlled, or the plant must have linearly parametrizable dynamics (such as in the case of adaptive control).
		These control systems produce control settings mainly based on the observed plant input/output behaviour (as opposed to a model) and on the considerations of some characterisation of the model uncertainties, which have been found robust in implemented performance.
		This estimated fuzzy model will then be used to fine-tune the FLC on-line and to provide a greater autonomy of the intelligent system.
	www.mech.gla.ac.uk /Control/activity/subsection2_3_6_6.html (460 words)

	An Introduction To FUzzy Control Systems
		One main claim to fame for fuzzy logic is that it is useful in designing control systems - in spite of the fact that design techniques for control systems abound.
		Study of Fuzzy logic is a study of a kind of logic.
		Fuzzy logic builds on traditional logic and extends traditional logic so that fuzzy logic can solve some long standing problems in traditional logic.
	www.facstaff.bucknell.edu /mastascu/eControlHTML/Fuzzy/Fuzzy1.html (3386 words)

	Fuzzy Control (Site not responding. Last check: 2007-11-07)
		It is important to remember in designing tank level control that the tank is meant to absorb variations in the process.
		The contol of the valves should be prioritized so that tank level control has little effect on the process flow.
		Fuzzy logic is generally only used if the membership (level) can be represented by a number between 0.0 and 1.0.
	www.control.com /1026182040/index_html (497 words)

	Ramco Systems (Site not responding. Last check: 2007-11-07)
		If the control problem involves rule based logic, decision-making processes is more often to do with 'manipulated variables' rather than 'quantitative variables' than also we use Fuzzy logic.
		Neural Network Block If the control problem is product quality or process analysis as a control variable and you don't have first principles model, or the model is not accurate then Neuaral Network is the model to choose This block has a self-tuning capability and adapts depending on the knowledge base.
		Various system parameters such as timing, sequencing, and enabling/disabling are controlled by it.
	www.ramco.com /offerings/OPTIMA.htm (984 words)

	Glass Melting Furnace Temperature Control
		Control temperature in a dead time process such as in a glass melting furnace.
		The error compensator is used to reduce the difference between the desired temperature and the actual temperature of the furnace.
		Fuzzy controllers also show robust response in the handling of dead time behavior in the process.
	www.aptronix.com /fuzzynet/applnote/glass.htm (534 words)

	Intelligent Real-Time Control System (Fuzzy CMAC) (329)
		Therefore, the next step in the development of control systems may be in the direction of adaptive self-learning.
		The ''brain'' of this system is the Fuzzy CMAC technology, which learns the characteristics of the system.
		But a plane may respond differently when it is loaded down with ordinance or has full or near empty gas tanks, etc. The Fuzzy CMAC control system is able to adjust for these differences in real time, allowing the plane to respond to the pilot's control as precisely as possible.
	www.mdatechnology.net /techsearch.asp?articleid=329 (1093 words)

	Multiobjective Optimal Structural Vibration Control Using Fuzzy Logic Control System (Site not responding. Last check: 2007-11-07)
		Fuzzy logic control systems have been applied as an effective control system in various fields, including vibration control of structures.
		The advantage of this approach is its inherent robustness and ability to handle nonlinearities and uncertainties in structural behavior and loading.
		The proposed multiobjective optimal FLC has been verified on a benchmark problem, namely, a “scaled model of a three-story building with an active mass driver system,” and the results have been compared with the results from other control methods reported in the literature.
	www.pubs.asce.org /WWWdisplay.cgi?0106181 (205 words)

	Artificial Intelligence: Fuzzy Systems for Control Applications: The Truck Backer-Upper -- from Mathematica Information ...
		The basis of fuzzy logic lies in the ambiguity in our thinking about concepts such as big, tall, slow, or bright, whose meanings are not only context dependent, but also ambiguous within a particular context.
		Using fuzzy sets named by these ambiguous linguistic variables, we can build applications that can outperform many of their traditional counterparts.
		As an example of the application of this technology, we will develop a fuzzy control system that automatically backs up a truck to a specified point on a loading dock.
	library.wolfram.com /infocenter/Articles/1802 (125 words)

	Fuzzy Shower
		The code for this demo is entirely Java(tm) code, although there is a capability to create more sophisticated rule based expert systems in concert with Jess (Expert System Shell) from Sandia National Laboratories (see the associated demo of the hybrid Java/Jess Fuzzy Shower).
		When in auto Fuzzy control mode things happen very fast and it is difficult to see all that is happening.
		The hot and cold pressures can be controlled by moving the slider positions (low limit of slider is 30, corresponding to atmospheric pressure and high limit is 90).
	ai.iit.nrc.ca /IR_public/fuzzy/fuzzyShower.html (322 words)

Try your search on: Qwika (all wikis)