400 lines
18 KiB
Plaintext
400 lines
18 KiB
Plaintext
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APTRONIX
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2150 North First Street
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San Jose, CA 95131
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(408) 428-1888
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Fax (408) 428-1884
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FuzzyNet (408)428-1883 data 8/N/1
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What is Fide?
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-------------
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Fide (Fuzzy Inference Development Environment) is a complete environment
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for the development of fuzzy logic-based systems. Fide provides system
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engineers with the most effective fuzzy tools in the industry and runs in
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MS-Windows(TM) on 386/486 hardware. The price is $1495 and is available
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now from Aptronix and authorized Motorola distributors. The software
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package comes with complete documentation on how to develop fuzzy logic
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based applications, free telephone support for 90 days and access to
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the Aptronix FuzzyNet information exchange.
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Fide employs a friendly and useful tool for each level of debugging,
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including data tracing, analysis and simulation. These tools present the
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inference unit's behavior from the perspective of the user and enable
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interactive debugging of the fuzzy model and the inference process. If
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the inference unit does not perform as expected, these tools lead the user
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to the bug location in the source code. Engineers will feel comfortable
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developing applications with Fide because the interaction of the tools
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follow a traditional programming approach of design, simulation and
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analysis.
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Specify the fuzzy inference system effectively
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----------------------------------------------
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Fide is based on a language called FIL (Fuzzy Inference Language). Because
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FIL is a non-sequential language with English-like statements, using FIL
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is very easy. Although simple to learn, FIL incorporates the most
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efficient inference methods and a rich variety of logic operators for
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different applications. FIL also provides optimized flexibility for
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membership function representation and the data types required by separate
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target processors.
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Take advantage of an open architecture that offers easy compatibility
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----------------------------------------------------------------------
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For the first time, a complete standard for fuzzy systems is combined into
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one unit called FSSE, Aptronix's fuzzy system standard environment. In
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order to provide the user with an open architecture environment, Aptronix
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has made FSSE available to the public. FSSE consists of data formats for
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membership functions, inference rules, inference units and other fuzzy
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inference parameters.
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Simulation instead of fabrication
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---------------------------------
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Testing a system is usually expensive, time consuming and sometimes
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impossible. With Fide engineers can design, simulate and perfect an
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entire dynamic system, including hardware, before building anything.
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Engineers can perfect designs and examine trade-offs while avoiding costly
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errors in the fabrication or assembly stages of construction.
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Get the product to market faster
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--------------------------------
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Fide's integrated tools provide the most efficient environment to debug,
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analyze and simulate the behavior of a system. The time from conceptual
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design to testing and implementation is reduced dramatically.
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HOW TO USE FIDE IN THREE EASY STEPS
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-----------------------------------
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A fuzzy logic system is based on fuzzy inference units integrated with
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non-fuzzy units. Fide is designed to cover the entire spectrum of the
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system design process, both at the unit and system level. To design a
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fuzzy inference unit, follow these three steps:
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STEP #1 - Write the source code.
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All source code is written in FIL (the language for fuzzy inference).
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Specify the input/output variables, the membership functions associated
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with them, and the inference rules with FIL. If the system requires
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special logic operators and inference methods, FIL provides the capability
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to tailor the source code for specific requirements.
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Use the Fide graphic editor to draw a graph of the membership function (as
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opposed to using a text editor and FIL to describe a membership
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function.) The editor automatically converts the graph into a segment of
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code. The Fide compiler translates the source code into the Aptronix
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standard data structure.
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Step #2 - Debug the code
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Fide provides an elegant way to view a unit from multiple perspectives via
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three powerful debug tools.
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TRACER
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A. By using the Fide tracer, designers can set the input
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variable to any test value and observe the output
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value. If undesired results occur, it is easy to
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trace into the details of the inference process, step
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by step, and locate the specific location where the
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source code can be edited and the bug fixed.
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ANALYZER
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B. The next debug tool is the Fide analyzer which
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displays a global view of the transfer function
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response. Here, input/output relationships are
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displayed as a three dimensional structure. Advanced,
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interactive 3-D graphics let users check the function
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in detail, examining the surface from a variety of
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perspectives. Aptronix has made an important
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advancement in debugging technology by combining the
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analyzer and simulator with the tracer. Using a
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hot-link to the tracer, engineers can trace the
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inference process at any selected point on the surface
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-- even to the source level.
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SIMULATOR
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C. The final debug tool is the Fide simulator. It
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runs the unit with input values prepared in an input
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value file. The simulator displays curves of the
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output values and simulates the unit's dynamic
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behavior. Again, a hot-link to the tracer is provided
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for immediate access to the source code level
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providing unprecedented debugging capability.
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Step #3 -- Generate the real-time code.
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Once a processor has been selected for implementation,
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the corresponding Fide RTC (real-time code) generator
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can be used for that chip. If the unit is implemented
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in software, the Aptronix run-time library, when
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linked into a C program, performs the fuzzy inference
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computation.
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System integration with Fide using Composer
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-------------------------------------------
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There is a unique way of graphically simulating and testing a system
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of fuzzy inference units and application specific code with Aptronix
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Composer. When using the Composer, a system is regarded as an open or
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closed loop consisting of units connected with data transfer
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channels. In addition to fuzzy inference units, users can integrate
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other software modules, such as operation units (performing
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mathematical operations) and/or execution units (describing prepared
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software modules).
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COMPOSER
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Source code can be written or drawn using the graphical
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editor. The system integration language, called FCL
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(Fide Composer Language) has textual and graphical
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representations. In its graphical representation, a
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system is described by drawing a chart of data flow
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paths between units. In its textual representation, a
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system is described by listing the units and the data
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transferred between them.
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The Composer textual editor and Composer graphical
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editor are used to design and modify the system and a
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built-in converter can change one representation to
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the other. To test the system, the data flow viewer
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or the dynamic simulator is used.
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The data flow viewer allows testing of the unit by
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setting input values and observing the details of data
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flow in the system. If a fuzzy inference
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unit is found to have an undesired response, a
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hot-link automatically takes the user to the tracer.
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The dynamic simulator analyzes the dynamic behavior of
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the system. The user initializes the system with any
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values, sets terminating conditions and then lets the
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system run automatically. When the terminating
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conditions are met, the values of all selected
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input/output variables are displayed as time-value
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graphs.
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Applications
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Fuzzy logic can improve system performance and reduce design time and cost
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in a wide range of applications. Such as:
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Automotive
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In order to improve quality, performance, and shorten development cycles,
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major automotive manufacturers are now using fuzzy technology. Typical
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applications include fuzzy engine control, fuzzy cruise control, fuzzy
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anti-lock braking systems and fuzzy transmission systems.
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Aerospace
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The aerospace industry requires real-time high-performance systems that
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present difficult problems for engineers. Fuzzy technology proves new and
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useful methods of approaching design of these challenging systems.
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Appliances
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Fuzzy technology simplifies the product design and development cycle,
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lowers production costs, and improves product performance. Many consumer
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manufacturers have been quick to implement fuzzy technology into new
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products such as washing machines, air conditioners, cameras, VCRs and
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televisions.
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Chemical
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The complexity of system modeling is a very difficult problem in the
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chemical industry. The descriptive modeling feature of fuzzy logic makes
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it an idea tool for complex systems design.
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General Manufacturers
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Fuzzy logic-based real-time diagnosis and control systems are invaluable
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for increasing equipment efficiency and diagnosing malfunctions.
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Civil Engineering
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Traditional system analysis and assessment are based on inexact conceptual
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models which may lead to errors in system analysis. Since fuzzy
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technology describes the system more accurately, the assurance of systems
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analysis is increased.
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Finance
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Fuzzy systems provide a methodology for modeling the uncertainly in market
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trends and risk analysis. Using fuzzy logic, the financial world can
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develop models that are more realistic.
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Education
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Academic institutions can use Fide to reach and perform research in fuzzy
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inference-based systems design and related work. Aptronix has close ties
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with the research community through it's University Program. Through this
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program, Aptronix shares important developments in fuzzy technology with a
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future generation of engineers.
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APTRONIX COMPANY OVERVIEW
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-------------------------
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Headquartered in San Jose, California, Aptronix develops and markets fuzzy
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logic-based software, systems and development tools for a complete range
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of commercial applications. The company was founded in 1989 and has been
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responsible for a number of important innovations in fuzzy technology.
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Aptronix's product Fide (Fuzzy Inference Development Environment) -- is a
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complete environment for the development of fuzzy logic-based systems.
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Fide provides system engineers with the most effective fuzzy tools in the
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industry and runs in MS-Windows(TM) on 386/486 hardware. The price is
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$1495 and is available now from Aptronix and from authorized Motorola
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distributors. The software package comes with complete documentation on
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how to develop fuzzy logic based applications, free telephone support for
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90 days and access to the Aptronix FuzzyNet information exchange.
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Aptronix Customer Support Services
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----------------------------------
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When you contact Aptronix Technical Support, you have direct access to
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experience. Each member of the Aptronix Customer Support Group works with
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Fide every day. We consult with Aptronix programmers on design and
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useability issues, and we work regularly with application engineers who
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utilize Fide to build advanced fuzzy logic applications.
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Whether you are working on a deadline and need a quick answer, or cannot
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find the answer in your manual, call Aptronix Technical Support Services.
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We have the experience -- and we have the answers.
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Get the Answers - Free For 90 Days
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----------------------------------
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When you are getting started with Fide, call the experts at Aptronix any
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business day. We provide 90 days of free telephone service from the time
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you send in your registration card. Our telephone support hours are from
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9am - 5pm Pacific Standard Time.
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After 90 days, you can continue to access Aptronix Technical Support by
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using the Aptronix FuzzyNet BBS, fax or mail. All you need to do is
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register your copy of Fide.
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Aptronix one year extended support
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----------------------------------
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For on going support and advice on more advanced uses of Fide, Aptronix
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provides its AES - Aptronix Extended Support services. This program
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includes the following assistance:
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1. Tips and tricks for advanced uses of Fide
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2. An analysis of the fuzzy inference units you have designed and
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recommendations on how to optimize the performance of your inference
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unit(s). Customers will need to send example Fide source code and a
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summary of the applications.
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3. Advice on how to integrate fuzzy inference units into applications to
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improve speed and performance of the overall system.
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The price for this service is $550 per year and it includes a 9600 baud
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external modem for high speed access to our FuzzyNet electronic BBS
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system. Telephone support is also included with this service contract.
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As an option, users can purchase this service for $350 without the modem --
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although we highly suggest using a modem for access to our FuzzyNet
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system.
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Customer engineering solution services
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--------------------------------------
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Aptronix also provides Customer Engineering Services for a complete
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solution to your application. Aptronix engineers can design your
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turn-key system and share our experience and expertise in fuzzy logic.
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Through Aptronix, you get the best solution for your application so you
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will create better products faster. This service is individually
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negotiated based on the scope of the project and requires a detailed
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description of your application. Please call (408) 428-1888 for more
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information.
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BACKGROUND INFORMATION
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----------------------
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What is fuzzy logic?
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Fuzzy logic is a powerful problem-solving methodology with a myriad of
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applications in embedded control and information processing. Fuzzy logic
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provides a remarkably simple way to draw definite conclusions from vague,
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ambiguous or imprecise information. In a sense, fuzzy logic resembles
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human decision making with its ability to work from approximate data and
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find precise solutions.
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Fuzzy logic is based on fuzzy set theory. Unlike traditional " either/or"
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set theory, fuzzy logic does not impose rigid classifications such as true
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or false, black and white, 0 or 1, etc. Membership in fuzzy sets is a
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continuous phenomenon, with values ranging from 0 to 1. This allows
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programmers to model vague and subjective concepts such as "very hot,"
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"bright red," and "a long time".
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Why Use Fuzzy logic?
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Using fuzzy logic, system designers can realize lower development costs,
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superior features, and better end product performance. Most importantly,
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products can be brought to market faster and more cost-effectively.
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Several factors make fuzzy logic desirable to the system designer.
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1. Describe and model solutions to a problem without having to use complex
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mathematical models for systems and development.
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2. Optimize a known solution in order to obtain a simpler and more
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effective implementation.
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3. Simplify the system design process, thereby decreasing development
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costs.
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4. Make the system more descriptive. A system is more convenient to
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manage, maintain, upgrade and is easier to differentiate with less
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risk.
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5. Have a higher fault-tolerance and a better trade-off between system
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robustness and system sensitivity.
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6. Provide products with powerful features and performance within a price
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range unmatched by other solutions.
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For Further Information Contact:
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APTRONIX
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2150 North First Street
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San Jose, CA 95131
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(408) 428-1888
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Fax (408)-428-1884
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FuzzyNet (408)428-1883 data 8/N/1
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July 92
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