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Topic: Fuzzy Control Language

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Fuzzy logic

Fuzzy associative matrix

Elevator

Coronation Street

Washing machine

	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 Logic
		Fuzzy logic is an alternative to Boolean logic, allowing a much broader response instead of just true and false, though they both use the eight basic logic gates.
		Fuzzy logic allows a response within the range of 0.0 to 1.0 where 0.0 is absolute falsity and 1.0 is absolute truth.
		Zadeh also formulated the concept of fuzzy control that allows a small set of intuitive rules to be used in order to control the operation of electronic devices such as home appliances.
	library.thinkquest.org /C0126120/fuzzy.htm (488 words)

	The Semiotics of Control Rules: 'What Do You Mean by Positive Small?'
		Control systems are designed to automatically manage the behavior of a dynamic physical process by comparing the state of the controlled system (the plant) to some ideal value (the control objective or set point) and applying some control signal.
		A control surface is a surface plot which portrays the relation between controller inputs and outputs; for each combination of input values, a point on the surface gives the corresponding control output value.
		Fuzzy sets and their associated representation of linguistic terms have been used to determine the connection patterns, the processing units, and the connection weights of neural nets.
	www.gsu.edu /~dscbms/semiotic.htm (3064 words)

	CONSTRUCTING FUZZY
		Most importantly, fuzzy theory was adopted wholeheartedly by the Japanese, and their advances in the field of fuzzy control have won the attention of engineers throughout the world.
		Fuzzy theory gives us a whole new approach to the mathematics of thinking; it is a change of paradigm for Western world scientists and mathematicians, and like all changes of paradigm has been initially strenuously resisted, except in the Far East, where two-valued Aristotelian logic has not been too deeply ingrained.
		In fuzzy sets like speed and color it is very likely that two or more descriptors might have non-zero confidences at the same time; that is fine, since we are seldom certain that one descriptor is entirely right and the others are entirely wrong.
	www.urc.bl.ac.yu /manuals/adv/fuzzy/chap01.htm (1676 words)

	Language Log: When "fuzzy" means "smoothed piecewise linear"
		Fuzzy logic recognizes more than simple true and false values; it sees degrees of truthfulness, for example, in the statement, "There is a 25 percent chance of rain today." Fuzzy logic deals with complex real systems.
		However, the transition from one control regime to another may not be a smooth one, and a system might even hover at the boundary for a while, switching back and forth.
		In the case of the four stages of rice cooking, I suppose that a fuzzy logic controller is able to treat the process as a series of fuzzy or gradient transitions rather than a series of hard, stepwise transitions.
	itre.cis.upenn.edu /~myl/languagelog/archives/002415.html (1383 words)

	Fuzzy Logic (Stanford Encyclopedia of Philosophy)
		Fuzzy logic in the broad sense (older, better known, heavily applied but not asking deep logical questions) serves mainly as apparatus for fuzzy control, analysis of vagueness in natural language and several other application domains.
		Fuzzy logic in the narrow sense is symbolic logic with a comparative notion of truth developed fully in the spirit of classical logic (syntax, semantics, axiomatization, truth-preserving deduction, completeness, etc.; both propositional and predicate logic).
		This fuzzy logic is a relatively young discipline, both serving as a foundation for the fuzzy logic in a broad sense and of independent logical interest, since it turns out that strictly logical investigation of this kind of logical calculi can go rather far.
	plato.stanford.edu /entries/logic-fuzzy (3333 words)

	Notes On Fuzzy Control
		The concept of fuzzy control stemmed from the work of Lotfi Zadeh,a professor at the University of California at Berkley.
		A fuzzy control system is a real-time expert system, implementing a part of a human operator or process engineers expertise, which does not lend itself to being easily expressed in PID.
		There is a variety of basic, conventional control loops, but a human operator is needed during the starting or closing phase, for parametizing the controllers, or for switching between different control modules.
	www.angelfire.com /ak2/mbge7nq2/Fuzzy_Logic.html (311 words)

	Fuzzy logic tutorial.
		Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly complex systems, is the only way to solve the problem.
		Fuzzy logic control and analysis systems may be electro-mechanical in nature, or concerned only with data, for example economic data, in all cases guided by "If-Then rules" stated in human language.
		It is based on fuzzy perceptions, fuzzy truths, fuzzy inferences, etc., all resulting in an averaged, summarized, normalized output, which is given by the human a precise number or decision value which he or she verbalizes, writes down or acts on.
	www.fuzzy-logic.com /Ch1.htm (3115 words)

	SECURITY IS FUZZY
		Rosch illustrated that classes are intuitively fuzzy once one looks at the real members of the class, but that via prototypes people still maintain a simple and useful concept of the characteristics of a class.
		A fuzzy decision is the fuzzy set of alternatives resulting from the intersection of the goals and constraints.
		In the fuzzy logic paradigm, truth may be fuzzy, as it usually is in the real world.
	www.ecs.csun.edu /~btimmer/COMP595SEC/FuzzyLogic.htm (975 words)

	PAControl.com - Fuzzy Logic
		Fuzzy Logic is successfully used in today's process control systems.
		Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from uncertain or approximate information.
		The notion central to fuzzy systems is that truth values (in fuzzy logic) or membership values (in fuzzy sets) are indicated by a value on the range 0 to 1, with 0 representing absolute Falseness and 1 representing absolute Truth.
	www.pacontrol.com /Fuzzy.html (381 words)

	Fuzzy Multidimensional Logic
		Fuzziness extends the concepts of probability to encompass partial events, each of which can now occur with a strength between 0 and 1, for example we now allow for the probability of a half (eaten) apple (FTV 0.5).
		In fuzzy logic we rate each variable as a fuzzy truth value, giving 1 to the best option, 0 to the worst and proportionate in between (we could alternatively rate them with respect to a theoretical or practical minimum and maximum for the variable in question).
		Fuzzy logic is just one of a number of non-standard logics that currently exist and which are used to cope with situations excluded from classical bivalent logic.
	www.calresco.org /lucas/fuzzy.htm (2859 words)

	Fuzzy Control Language - Wikipedia, the free encyclopedia
		Fuzzy Control Language, or FCL, is a language for implementing fuzzy logic, especially fuzzy control.
		FCL allows the programmer to specify fuzzy sets, which are lists of points on a graph, as well as IF-THEN rules, for example:
		FCL is not an entirely complete fuzzy language, for instance, it does not support "hedges", which are adverbs that modify the set.
	en.wikipedia.org /wiki/Fuzzy_Control_Language (257 words)

	Fuzzy Application Library/Technical Applications/Industrial Automation
		Tuning the fudge factors of a controller derived from a mathematical model is "fishing in the dark", because optimizing the system at one operating point using global factors usually degrades the performance at other operating points.
		Because fuzzy logic is a technology that facilitates control system design based directly on such human experiences, it has been used for crane automation for almost a decade.
		The position control of the axis, a superimposed pressure controller, the parallel running of the steel belt and the synchronization of all axes had to be solved.
	www.fuzzytech.de /e/e_a_plc.html (3755 words)

	.::Futures Studies::.
		Fuzzy logic is the technology that mimics the human decision making process on a very high abstraction level of natural language.
		Cement kiln control is an operation which requires that an operator monitor four internal states of a kiln, controls four sets of operations and dynamically manage forty or fifty "rules of thumb" about their interrelationships, all with the goal of controlling a highly complex set of chemical interactions.
		Common sense human thinking and judgment are the lures of Fuzzy logic and are only one of the whole range of emerging technologies which are at the forefront of the user friendly revolution.
	www.sanalnair.org /articles/fuzzy.htm (1438 words)

	Foreword (Fuzzy Logic Toolbox)
		In this perspective, fuzzy logic in its narrow sense is a branch of FL.
		In the Fuzzy Logic Toolbox, fuzzy logic should be interpreted as FL, that is, fuzzy logic in its wide sense.
		A trend that is growing in visibility relates to the use of fuzzy logic in combination with neurocomputing and genetic algorithms.
	www-rohan.sdsu.edu /doc/matlab/toolbox/fuzzy/fuzzyfor.html (753 words)

	Fuzzy Logic Control in Autonomous Robotics:
		Fuzzification is the process by which system inputs are evaluated to determine the degree at which they belong to a particular fuzzy set, on a scale from 00 to FF in hexadecimal [5].
		The final step in the Fuzzy Logic calculation is defuzzification, when the raw fuzzy outputs are evaluated to create a composite system output.
		To test if Fuzzy Logic is a superior solution to the problems of autonomous robotic control, this project involved creating two control systems.
	www.d.umn.edu /~olse0203/FuzzyControl/FuzzyPaper.html (3441 words)

	[No title]
		Fuzzy Logic is a paradigm for an alternative design methodology which can be applied in developing both linear and non-linear systems for embedded control.
		The second step is to directly design the control algorithm using fuzzy rules, which describe the principles of the controller's regulation in terms of the relationship between its inputs and outputs.
		Fuzzy logic provides an alternative solution to non-linear control because it is closer to the real world.
	www.aptronix.com /fide/whyfuzzy.htm (1818 words)

	fuzzy logic - tutorials free design (artificial intelligence)
		Presenting fuzzy and neural control in terms that highlight their basis in classical control theory, and emphasizing the use of system control without analytic mathematical models, the authors introduce students to soft computing.
		The ability of fuzzy systems to provide shades of gray between 'on or off' and 'yes or no' is ideally suited to many of today’s complex industrial control systems.
		This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and control.
	www.eg3.com /ee/fuzzy.htm (372 words)

	Fuzzy logic tutorial.
		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.
		Our control rule for this range is sometimes referred to in fuzzy logic literature as a "patch." As you can see, the more patches we have over the control range, the better the control.
		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)

	FFLL and FCL
		FFLL is not fully compliant with the FCL standards set forth in IEC 61131-7.
		FFLL assumes the term_name part of each rule is specified in the order that the variables are declared so it "knows" which variable_name the term_name belongs to.
		Note: Regardless if the strict FCL syntax or the FFLL shorthand is used, FFLL assumes the variables are "AND"ed in the order they are declared.
	ffll.sourceforge.net /ffll_and_fcl.htm (155 words)

	Fuzz-C™ Fuzzy Logic Preprocessor
		The preprocessor translates a source file of mixed fuzzy logic statements and C statements to a file of pure C source code.
		Fuzzy functions and C functions are completely integrated and can easily call each other.
		The preprocessed code contains straight C translations of fuzzy membership functions, as well as simple graphs of the domains that the functions encode.
	www.bytecraft.com /fuzzylogictools.html (195 words)

	Fuzzy Application Library/Technical Applications/Fuzzy Logic Standardization
		Having identified the technical potential of fuzzy logic in these applications, the technology is ready for introduction to a broader variety of developers of control solutions.
		Vendors of fuzzy logic software and hardware can either base their products directly on this fuzzy systems description language, or just this representation for export and import while employing a proprietary format internally.
		These fuzzy logic solutions for "standard applications" shall be by the work group UA451 so that practitioners can use them as an initial prototype for their fuzzy logic solution.
	www.fuzzytech.com /e/e_a_std.html (2011 words)

	Fuzz - Wikipedia, the free encyclopedia
		Fuzzy Control Language, FCL, a language for implementing fuzzy logic
		Fuzzy measure theory, a special class of measures.
		Donald "Fuzzy" Cohen, famous fixture at New York Yankees and Rangers games since the 1950s, given the nickname Fuzzy for his famous bushy beard.
	en.wikipedia.org /wiki/Fuzzy (271 words)

	Togai InfraLogic -- TILShell 3.0 Debugging & Tuning (Site not responding. Last check: 2007-10-09)
		The Control Surface Window provides a 3-dimensional view of the relationship between two inputs and one output of your fuzzy system.
		The Control Surface Window also allows the plotting of more complex systems by setting all but two of the inputs to constant values and selecting a single output variable to plot.
		The model of the external system is described in the FPL Script Language, which is stored in a Model object.
	www.ortech-engr.com /fuzzy/debug.html (1378 words)

	Fuzzy Logic Controller
		The point in using fuzzy logic is to try and measure the quality of attributes against rules, so some object may be high, but by comparing with another object it may be higher or lower.
		If most (and preferably all) possible cases are covered in the Rule Set, a Fuzzy Logic Controller will be able to calculate what to do for any pair of Object1 and Object2 attributes, in a far more refined way any crisp 'boolean' controller would do.
		SimpleFLC is primarily targeted at C++ developers who wish to implement simple, efficient fuzzy logic into their VC++ code, but it will also be of interest to anyone who wish to learn about fuzzy logic controllers.
	www.foretrade.com /fuzzy.htm (688 words)

	literature - fuzzynet
		Fuzzy Inference Language (FIL) is the language that is used by Aptronix's proprietary software - Fuzzy Inference Development Environment (FIDE).
		The FIL source code for a specific control problem is created by the user using the graphical or text editor of Fide.
		The assembly code is cross-compiled into machine code of the chip, and thus a fuzzy logic controller is developed.
	www.aptronix.com /fuzzynet (340 words)

	Amazon.com: Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems: Books: Guanrong Chen,Trung Tat Pham (Site not responding. Last check: 2007-10-09)
		To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems.
		Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications.
		The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples.
	www.amazon.com /Introduction-Fuzzy-Logic-Control-Systems/dp/0849316588 (991 words)

	FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] - [19] Companies Supplying Fuzzy Tools
		Mass assignments give a consistent way of manipulating fuzzy and probabilistic uncertainties, enabling different forms of uncertainty to be integrated within a single framework.
		They also perform research and development in fuzzy logic, fuzzy control, neural networks, adaptive fuzzy systems, and genetic algorithms.
		The result is a fuzzy associative memory (FAM) which implements an approximation of the training data.
	www-2.cs.cmu.edu /Groups/AI/html/faqs/ai/fuzzy/part1/faq-doc-19.html (1327 words)

	Togai InfraLogic, Inc. (Site not responding. Last check: 2007-10-09)
		Togai InfraLogic is an Irvine, California-based company founded by Dr. Masaki Togai in 1987 as the world's first company dedicated to the application of fuzzy logic.
		The company has been honored with a "1990 Product of the Year" award from Electronic Products magazine for the FC110 Digital Fuzzy Processor and a "1993 Product Recognition Award" from Control Engineering Magazine for the TILShell 3.0 fuzzy logic development tool.
		Please select from one of the following choices to learn more about fuzzy logic and our products.
	www.ortech-engr.com /fuzzy/togai.html (108 words)

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