Preview

Digital Control Systems

Good Essays
Open Document
Open Document
4836 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Digital Control Systems
Building Systems with Fuzzy Logic Toolbox Software :: Tutorial (Fuzzy...

jar:file:///C:/Program%20Files/MATLAB/R2011a/help/toolbox/fuzzy/hel...

Building Systems with Fuzzy Logic Toolbox Software
On this page…
Fuzzy Logic Toolbox Graphical User Interface Tools
The Basic Tipping Problem
The FIS Editor
The Membership Function Editor
The Rule Editor
The Rule Viewer
The Surface Viewer
Importing and Exporting from the GUI Tools

Fuzzy Logic Toolbox Graphical User Interface Tools
In this topic, you use the Fuzzy Logic Toolbox graphical user interface (GUI) tools to build a Fuzzy Inference System (FIS) for the tipping example described in The Basic Tipping Problem.
Use the following GUI tools to build, edit, and view fuzzy inference systems:
Fuzzy Inference System (FIS) Editor to handle the high-level issues for the system—How many input and output variables? What are their names?
Fuzzy Logic Toolbox software does not limit the number of inputs. However, the number of inputs may be limited by the available memory of your machine. If the number of inputs is too large, or the number of membership functions is too big, then it may also be difficult to analyze the FIS using the other GUI tools.
Membership Function Editor to define the shapes of all the membership functions associated with each variable
Rule Editor to edit the list of rules that defines the behavior of the system.
Rule Viewer to view the fuzzy inference diagram. Use this viewer as a diagnostic to see, for example, which rules are active, or how individual membership function shapes influence the results
Surface Viewer to view the dependency of one of the outputs on any one or two of the inputs—that is, it generates and plots an output surface map for the system.
These GUIs are dynamically linked, in that changes you make to the FIS using one of them, affect what you see on any of the other open GUIs. For example, if you change the names of the membership functions in the

You May Also Find These Documents Helpful

  • Satisfactory Essays

    Complete the following chart, filling in information for each system. Add rows to the chart as necessary.…

    • 205 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    6) Both version has a different look. When we installed lotus 7 then it automatically save in…

    • 528 Words
    • 3 Pages
    Good Essays
  • Good Essays

    Nt1310 Unit 1 Assignment

    • 987 Words
    • 4 Pages

    (This layer is not the application itself, although some applications may perform application layer functions.)…

    • 987 Words
    • 4 Pages
    Good Essays
  • Good Essays

    For Graphical User Interface, Net Beans or Eclipse is used to have a greater degree of interfaces between end user and the tool.…

    • 1533 Words
    • 7 Pages
    Good Essays
  • Satisfactory Essays

    Intrlligent Systems

    • 259 Words
    • 2 Pages

     Who thinks it will rain tomorrow?  What is the forecast?  What will you answer next week?…

    • 259 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    The FIS for males is shown in figure 2 and it is similar to the FIS for females. The subcategories for each attribute as shown in Figure 1, is taken as members for the corresponding fuzzy variable. The detailed depiction of these membership functions are shown in Figure 5. The members of most input variables remain the same for the FIS of both males and females, with the exception of the input variables ICD-O and occupation. There exist two membership structures for the input occupation due to the inclusion of the attribute housewife for females as shown in 5e and 5f.As for the membership function ICD-O for male and female shown in 5a and 5b, the structure differs as the top five malignancies for each gender is different in…

    • 1008 Words
    • 5 Pages
    Good Essays
  • Powerful Essays

    34 G. Kabir and R. S. Sumi Golam Kabir is a PhD student in the Civil Engineering Department of Faculty of Applied Science at The University of British Columbia (UBC), Kelowna, British Columbia, Canada. Mr. Kabir was an Assistant Professor in the Department of Industrial and Production Engineering (IPE) at Bangladesh University of Engineering and Technology (BUET). He received a B.Sc. and a M.Sc. in Industrial and Production Engineering from BUET in 2009 and 2011 respectively. His main scientific interest concentrates on multi criteria decision analysis under risk and uncertainty, fuzzy inference system and decision support system. He has a large number of international journal publications in his credit. Razia Sultana Sumi is an Assistant Professor in the Department of Business Administration at Stamford University Bangladesh. She received BBA and MBA in Marketing Department from Dhaka University, Bangladesh. Her research interests are marketing research, productivity improvement and decision science.…

    • 5391 Words
    • 22 Pages
    Powerful Essays
  • Powerful Essays

    This Article is brought to you for free and open access by CREATE Research Archive. It has been accepted for inclusion in Published Articles & Papers…

    • 7444 Words
    • 30 Pages
    Powerful Essays
  • Powerful Essays

    Time Series Earthquake

    • 2614 Words
    • 11 Pages

    References: [1] T. Ozaki, H. Akaike, G. Akaike, Time Series, Asakura syoten, Japan, 1998. [2] T.Ozaki, G. Akaike, Methods of Time Series Analysis, Asakura syoten, Japan, 1998. [3] S, Arimoto, Kalman Filter, Asakura syoten, Japan, 1985. [4] L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp.338-353, 1965. [5] L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes”, IEEE Trans. on System, Man and Cybernetics, Vol.SMC-3, 1973, pp.28-44. [6] L. A. Zadeh, “Application of Fuzzy Technique and Soft Computing”, Journal of The Japan Society for Fuzzy Theory and Systems, Vol. 5, No.2, 1993, pp.261-268. [7] K. Ito, What Is Chaos? –Predict Unpredictable Chaos Diamond-sya, Japan, 1993. [8] Chen.S and Billings.S.A, “Representations of non-linear systems the NARMAX”, model-Int.J.Control, Vol.49, No.3, 1989, pp.1013-1032. [9] M. Funabashi, Neuro Computing, Ohmu-sya, Japan, 1992. [10] Ivakhenemko, A. G., “The Group Method of Data Handling, A Rival of the Method Stochastic Approximation”, Soviet Automatic Control, 13(3), 1968, pp.43-45. [11] I. Hayashi, “GMDH”, Journal of The Japan Society for Fuzzy Theory and Systems, Vol.7, No.2, Japan, 1995, pp.270-274. [12] H. Nomura, I. Hayashi and N. Wakami, “A learning method of fuzzy inference rules by descent method”, Proceeding of the 4th IFSA Congress, Vol. Engineering, Brussels, 1991, pp155-158. [13] Y. Shi, M. Mizumoto, N. Yubazaki and M. Otani, “A Self-Tuning Method of Fuzzy Rules Based on Gradient Descent Methods”, Journal of The Japan Society for Fuzzy Theory and Systems, Vol.8, No.4, Japan, 1996, pp.757-767. ,…

    • 2614 Words
    • 11 Pages
    Powerful Essays
  • Better Essays

    large scale control process and control systems (Sugeno et al.,1993). Fuzzy logic is the most prominent approach for systems involving nonlinearities and lack of analytical models. The main advantage of this approach is that incorporates in advance qualitative information about the system behavior. Fuzzy logic is indispensable for the analysis of systems whose sharp representation with mathematical models is poor (Pappis et al., 2000). In this study fuzzy logic is used to detect the forest roads on the generated DTM of the study area and the input data we have is the elevation of each location. The forest road borders are not sharp and there is an uncertainty that makes difficult to assign crisp values to DTM cells based on their road membership (elevation differences between road and non-road locations are…

    • 1312 Words
    • 6 Pages
    Better Essays
  • Powerful Essays

    organizational communication

    • 4831 Words
    • 20 Pages

    Purpose – The purpose of this paper is to demonstrate the use of two general purpose…

    • 4831 Words
    • 20 Pages
    Powerful Essays
  • Satisfactory Essays

    Fuzzy Logic

    • 13694 Words
    • 55 Pages

    Fuzzy logic is a branch of artificial intelligence that deals with reasoning algorithms used to emulate human thinking and decision making in machines. These algorithms are used in applications where process data cannot be represented in binary form. For example, the statements “the air feels cool” and “he is young” are not discrete statements. They do not provide concrete data about the air temperature or the person’s age (i.e., the air is at 65°F or the boy is 12 years old). Fuzzy logic interprets vague statements like these so that they make logical sense. In the case of the cool air, a PLC with fuzzy logic capabilities would interpret both the level of coolness and its relationship to warmth to ascertain that “cool” means somewhere between hot and cold. In straight binary logic, hot would be one discrete value (e.g., logic 1) and cold would be the other (e.g., logic 0), leaving no value to represent a cool temperature (see Figure 17-1).…

    • 13694 Words
    • 55 Pages
    Satisfactory Essays
  • Powerful Essays

    Bits Dissertation Guide

    • 7106 Words
    • 29 Pages

    14. R.D.COOK, D.MALKUS, M.E.PLESHA, 1989 “Concept and application of finite element analysis”, John Wiley & sons, London, Third edition.…

    • 7106 Words
    • 29 Pages
    Powerful Essays
  • Powerful Essays

    Cbir

    • 2764 Words
    • 12 Pages

    We address the problem of two-dimensional (2-D) shape representation and matching for large image databases. The boundary contour of the object must include the boundary part which is entirely inside the outline of the object. For this experiment we used canny function for boundary extraction. In this work chain code is main feature as shown in fig.1 which is basic element of boundary, from which boundaries main parts such as curves, angles, vertical lines, horizontal lines, cross lines are formed. For spatial relations we divide whole boundary…

    • 2764 Words
    • 12 Pages
    Powerful Essays
  • Powerful Essays

    This work is subject to copyright. All rights are reserved, whether the whole or part of the…

    • 66704 Words
    • 267 Pages
    Powerful Essays