'Fuzzy controller' presentation slideshows

Fuzzy Logic

Fuzzy Logic. Priyaranga Koswatta. Mundhenk and Itti, 2007. Advantages of Fuzzy Controllers ?Minimal mathematical formulation ?Can easily design with human intuition ?Smoother controlling ?Faster response. Agenda. General Definition Applications Formal Definitions Operations Rules

1.04k views • 71 slides

F UZZY C ONTROL : An Introduction

F UZZY C ONTROL : An Introduction. Khurshid Ahmad, Professor of Computer Science, Department of Computer Science Trinity College, Dublin-2, IRELAND October 26 th/ 27 th 2010. https://www.cs.tcd.ie/Khurshid.Ahmad/Teaching/Teaching.html. 1. F UZZY C ONTROL Control Theory?.

776 views • 67 slides

Fuzzy Control

Fuzzy Control. Fuzzy Control. Fuzzy Sets Design of a Fuzzy Controller Fuzzification of inputs: get_inputs() Fuzzy Inference Processing the Rules: find_rules() Centroid Defuzzification Output Defuzzification: find_output() A Fuzzy Control Example -- Floating Ping-Pong Ball. Fuzzy Logic.

1.26k views • 53 slides

Fuzzy Adaptive Internal Model Control

Fuzzy Adaptive Internal Model Control. ?? : ??? M96720062. The control scheme consists of two parts:. a fuzzy dynamic model : serves as the internal model of the FAIMC is identified online by using the input and output measurement of the plant.

613 views • 45 slides

F uzzy L ogic I nference for P ong ( FLIP )

F uzzy L ogic I nference for P ong ( FLIP ). Brandon Cook & Sophia Mitchell Undergraduate Students, Department of Aerospace Engineering, Student Members AIAA Dr. Kelly Cohen Associate Professor, Department of Aerospace Engineering, Associate Fellow AIAA

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3. Fuzzy Control

3. Fuzzy Control. The primary goal of control engineering is to distill and apply knowledge about how to control a process so that the resulting control system will reliably and safely achieve high-performance operation .

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Design & Technology Foundation - Electronic Control (II) (Fuzzy Control Technology)

Design & Technology Foundation - Electronic Control (II) (Fuzzy Control Technology). By Jasper Wong email: icjwong@polyu.edu.hk. Fuzzy Control Technology. A Simple Temperature Control System Gas Flow is regulated by a knob in 10 notches

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Introduction to Fuzzy Control

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CI Controllers for Lego Robots - Comparison Study

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2004 ?? ????????? ?? ????? ?????, ?? 200 4 ? 4? 1 0 ?. ?? ?? ??? ??? ????? ?? ???? ????. ??? , ??????? ?? ? ????? ??? , ??????? ?? ? ????? ??? , ????? ????? ??? , ??????? ?? ? ?????. Outline. Introduction Proposed Method Numerical Example Conclusions. Introduction.

512 views • 26 slides

pH Neutralization Control System

pH Neutralization Control System. By: Firas I.Dweekat , Hafiz K.Irshaid . Supervised by: Dr. Raed Alqadi , Dr. Ashraf Armoush. Outlines. Abstract pH Problem Fuzzy control Methodology System Architecture Tank controller Master controller Controller communication (DLL )

567 views • 25 slides

Single Tank System

Fuzzy Logic. Fuzzy Control. LI. FV. Single Tank System. Desired liquid level: 5 cm ( 0.05 m ). Required inflow rate: ? 0.0119 m 3 /s ( 11.9 l /s ). A : cross-sectional area of the tank a : cross-sectional area of the pipe. Fuzzy Logic. Fuzzy Control. high. low. okay.

587 views • 16 slides

Absolute Stability and the Circle Criterion

Absolute Stability and the Circle Criterion. In this section we will examine the use of the Circle Criterion for testing anddesigning to ensure the stability of a fuzzy control system .

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Mobile Robot Fuzzy Control

Mobile Robot Fuzzy Control. Matt Starzewski ECE 539 Project Spring 2001. ECE 539 Project. Wanted something that would be used after the course was completed. Started on stocks, but was discouraged by Prof. Hu. Besides, I needed a system with which I had

453 views • 10 slides

Fuzzy sliding mode controller for DC motor

Southern Taiwan University Seminar class - 2010. Fuzzy sliding mode controller for DC motor. Advisor : Ying Shieh Kung Student: Bui Thi Hai Linh. Abstract.

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Comparison of classical state space control and fuzzy control

Comparison of classical state space control and fuzzy control. Felix Bierbaum. State space control. Based on mathematical model of the physical system Continuous time or discrete time Laplace transforms or z-transforms. Fuzzy Control. Based on rules No explicit mathematical model needed

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Fuzzy-Based Inference System for Navigation and Life Detection on Titan

Fuzzy-Based Inference System for Navigation and Life Detection on Titan. Speaker: Steven Forbes University of Arizona. Autonomy requirements. Unconstrained, Science-Driven Planetary Reconnaissance requires higher level of on-board automation:

250 views • 9 slides

Status Report #4 UAV - Adaptable Fuzzy logic controller

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Status Report #6 UAV - Adaptable Fuzzy logic controller

Status Report #6 UAV - Adaptable Fuzzy logic controller. Oct 22 , 2012. Team #9 Julian Jaramillo Craig Cobabe Edward Robinson Chris Pitts. Create a fuzzy logic controller that utilizes a neural network to control a wide range of aerial vehicles. . Overall Need.

191 views • 7 slides

Introductory Presentation

Introductory Presentation. Project 4: Emulating Human Reasoning for Decision Making. AC: Dr. Kelly Cohen SAC: Dr. Jeff Kastner GRA: Mr. Wei Wei Team Members: Adam Katterheinrich Nicholas Nielsen Tyler Parcell. Learn Fuzzy Logic (MATLAB Fuzzy Logic Toolbox)

160 views • 4 slides