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INTELLIGENT CONTROL SYSTEMS Day 1/1

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1 INTELLIGENT CONTROL SYSTEMS Day 1/1
The Warsaw School of Computer Science INTELLIGENT CONTROL SYSTEMS Day 1/1 Prof. Marian S. Stachowicz Laboratory for Intelligent Systems ECE Department, University of Minnesota, USA Warsaw School of Computer Science, Poland Warsaw, Poland, May 16– 22, 2014

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President Andrzej Żyławski Rector Zenon Gniazdowski Thank you for kind invitation. Marian S. Stachowicz Intelligent Control Systems

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OBJECTIVES: This course is designed to give students the ability to analyze and design linear and nonlinear feedback control systems. Intelligent Control Systems

4 Lecture and lab. schedule : May 16 – 22, 2014
Friday L 16:15–21:30 Q1 Saturday L 8:00–10: Q2 lab. 10:35–15.20 Sunday L 12:50–15:20 Q3 lab :25–19:40 Intelligent Control Systems

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Lab. schedule : May , 2014 Monday lab :15–19:40 Q4 Tuesday lab :15–19: Q5 Wednesday lab :15–19:40 Final Project Intelligent Control Systems

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Thursday Exam Computer lab. MZ :15–17:00 MZ :05–18:50 MZ203 + MZ :55–19:40 Meeting with all leaders: 19:45 Intelligent Control Systems

7 Consultations: May 19, 14:30–16:00
Needs change ! Intelligent Control Systems

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TEXTBOOKS: 1. Richard C. Dorf and Robert H. Bishop, Modern Control Systems, 11th Edition, Pearson Prentice Hall, 2008 Students access: Intelligent Control Systems

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Richard C. Dorf Professor of ECE at the University of California, Davis. - Fellow of the IEEE (Institute of Electrical and Electronics Engineers) - Fellow of ASEE (American Society for Engineering Society) Institute of Electrical and Electronics Engineers, American Society for Engineering Society Intelligent Control Systems

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Robert H. Bishop Professor of the Department of Aerospace and Engineering Mechanics at the University of Texas, Austin - Fellow of AIAA (American Institute of Aeronautics and Astronautics) American Institute of Aeronautics and Astronautics Intelligent Control Systems

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References : K.M. Passino and S. Yurkovich, Fuzzy Control, Addison Wesley Longman, Inc., 1998 Free access from publisher Intelligent Control Systems

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References : 3. M.S. Stachowicz and L. Beall , Fuzzy Logic Package for Mathematica, Version 5.2, Wolfram Research, Inc., 2003 Passive access from company Intelligent Control Systems

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References : 4. F.O. Karray and C. de Silva,
Soft Computing and Intelligent Systems Design, Addison Wesley, 2004 Intelligent Control Systems

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References: 5. J.J. DiStefano, A. R. Stubberud, I. J. Williams, Feedback and Control Systems, Schaum's Outline Series, McGraw-Hill, Inc., 1990 Teaches you to solve a wide range of problems. Prepares you for class exam while saving you time Supplement your class text Features 700 solved problems with complete solution Intelligent Control Systems

16 Digital Fuzzy Sets and Biometrics
OPEN LECTURE The Warsaw School of Computer Science Digital Fuzzy Sets and Biometrics Prof. Marian S. Stachowicz Laboratory for Intelligent Systems ECE Department, University of Minnesota, USA Warsaw, Poland, June 14, 2011

17 Dr. Marian S. Stachowicz Professor and Jack Rowe Chair
Lecturer Dr. Marian S. Stachowicz Professor and Jack Rowe Chair

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Teaching Assistant: TBA MZ201 MZ202 MZ203 Intelligent Control Systems

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Courses: ECE 3151 Control Systems ECE 5831 Fuzzy Sets Theory ECE 8831 Soft Computing ECE 4951 DESIGN WORKSHOP: INTELLIGENT CONTROL DESIGN Intelligent Control Systems

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ECE 4951-S WORKSHOP Intelligent Control Systems

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15 th ANNUAL UMD UNDERGRADUATE REAEARCH/ARTISTIC SHOWCASE, THURSDAY, APRIL 29, 2010 Intelligent Wallet   Intelligent Greenhouse Control  Color Recognition for Tracking Robots  Path Tracking Vehicle with Fuzzy Control  Voice Controlled Lights  Voice Activated Control of a DC Motor   Intelligent Helmet – Threat Detection Intelligent Control Systems

22 ECE 3151-F-2013 Control Systems
Conventional Control - 3 cr

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ECE FALL IF I COULD TALK TO THE… CONTROLLERS Voice activated controller.. Intelligent Control Systems

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T1S-044 CONTROL THEORY Intelligent Control Systems

25 Laboratory for Intelligent Systems http://www.d.umn.edu/ece/lis
Intelligent Control Systems

26 LIS has been founded in cooperation with Minnesota Power and 3M.

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RESEARCH Undergraduate and graduate students concentrate on methods and algorithms for soft computing and their applications in - image processing, multi-objective optimization, - color recognition. Intelligent Control Systems

28 Lecture topic and schedule:
Part 1 Linear and Nonlinear Control Systems [1, 4] Human-in-the-control loop [1, 2] Quiz 1 from chapter 1 [1] Intelligent Control Systems

29 Lecture topic and schedule:
Part 2 Mathematical Models of Systems [1] Introduction to Soft Computing [4] The Mathematics of Fuzzy Sets [2, 3, 4] Linguistic description of human expertise [2, 3] Quiz 2 from chapter 2 [1] Intelligent Control Systems

30 Lecture topic and schedule:
Part 3 Feedback Control System Characteristics [1] The Performance of Feedback Control Systems [1, 2] Fuzzy Systems and Their Properties [2, 3, 4] Quiz 3 Intelligent Control Systems

31 Lecture topic and schedule:
Part 4 Robustness and stability [1, 4] Design of Fuzzy Systems from Input - Output Data [3, 4] Quiz 4 Intelligent Control Systems

32 Lecture topic and schedule:
Part 5 Digital Control Systems [1, 2] Multivalued Logic [3] Fuzzy Versus Conventional Control [4] Quiz 5 Intelligent Control Systems

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Final Project/Exam Time: Wednesday/Thursday, May 21/May22, 2014, 16:15 – 19:40. Intelligent Control Systems

34 Practice Exercises for all Quizzes
Practice Exercises for Q1- Q5 after every new part. Self-pages review exercises developed to supplement chapter content and help students develop effective problem-solving strategies Matching: Intended to help students master new terminology introduced in the book. True/False: Intended to ask students to think conceptually about the material presented. Multiple/Choice: Intended to provide students with extra practice on a wide array of problems My suggestion: team work Intelligent Control Systems

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“ Individuals with any disability, either permanent or temporary, which might affect performance in this class are encouraged to inform the instructor at the start of the course. Adaptation of methods, materials, or testing may be made as required to provide for equitable participation.” Intelligent Control Systems

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Grading Assessment: H 1, Q1 – Q % Final Project/Exam 25 % Grading scale: A: [95, 100] A- : [90, 95) B: [80, 90) C: [70, 80) D: [60, 70) D- : [50, 60) F: or less Intelligent Control Systems

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Professor Marian S. Stachowicz heads the Laboratory for Intelligent Systems at the Electrical and Computer Engineering Department, University of Minnesota Duluth. He received his M.S. degree in Control and Computer Engineering from LETI, Soviet Union and both his Ph.D. and D.Sc. from AGH-University of Science and Technology, Poland. He previously held academic positions in Poland, as well as a number of appointments as visiting professor, including the University Linkoping in Sweden, the University of Sydney in Australia, and the University of Canterbury, New Zealand, VNU Hanoi, Vietnam, Shanghai University P.R. China Professor Stachowicz has published 7 books, 130 papers in journals, conference proceedings, and 20 patents. He is a co-author of the Fuzzy Logic Package for Mathematica. His work centers on artificial intelligence and soft computing, decision analysis and control. He is a senior member of IEEE and a consultant for large multinational corporations. Intelligent Control Systems

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Questions ? Intelligent Control Systems

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THANK YOU. Intelligent Control Systems


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