What Is Fuzzy Logic? | Fuzzy Logic, Part 1
This video introduces fuzzy logic and explains how you can use it to design a fuzzy inference system (FIS), which is a powerful way to use human experience to design complex systems. Designing a FIS does not require a model, so it works well for complex systems with underlying mechanisms t
From playlist Fuzzy Logic
Introduction to Fuzzy Logic, Fuzzy Logic System, Fuzzy Logic Controller
This video is about the introduction of Fuzzy Logic System which is also referred as Fuzzy Inference System. The basic concept of fuzzy sets and the working principle of a Fuzzy Logic System (Fuzzy Inference System) will be described. A fuzzy controller implemented by a Fuzzy Logic System
From playlist Fuzzy Logic
Fuzzy Logic Examples | Fuzzy Logic Part 3
Watch this fuzzy logic example of a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition about the system—no mathematical models necessary. Fuzzy Logic Toolbox: https://bit.ly/3kypWT4?s_eid=PSM_15028 -------
From playlist Fuzzy Logic
Fuzzy Logic Controller Tuning | Fuzzy Logic, Part 4
Cover the basics of data-driven approaches to fuzzy logic controller tuning and fuzzy inference systems. See how to tune fuzzy inference parameters to find optimal solutions. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters
From playlist Fuzzy Logic
What Is Robust Control? | Robust Control, Part 1
Watch the other videos in this series: Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 Robust Control, Part 3: Disk Margins for MIMO Systems - https://youtu.be/sac_IYBjcq0 This videos covers a high-level introduction to robust control. The goal is to get
From playlist Robust Control
Fuzzy Logic Systems - Part 1: Introduction
This video is about Fuzzy Logic Systems - Part 1: Introduction
From playlist Fuzzy Logic
How to create a fuzzy inference system
Learn how to graphically design and simulate fuzzy inference systems using the fuzzy logic designer app. The video demonstrates the steps to create a fuzzy logic to estimate the tip percentage for a waiter based on the quality of food and service. - Build fuzzy inference systems and fuzz
From playlist “How To” with MATLAB and Simulink
23C3: A Natural Language Database Interface using Fuzzy Semantics
Speaker: Richard Bergmair We give a thorough exposition of our natural language database interface that produces result sets ranked according to the degree to which database records fulfill our intuitions about vague expressions in natural language such as `a small rainy city near San Fr
From playlist 23C3: Who can you trust
Finally, Some Good News About Corals | SciShow News
Corals might have a fighting chance against bleaching, and fuzzy moths aren't just sporting their fur because it's adorable. Hosted by: Hank Green SciShow has a spinoff podcast! It's called SciShow Tangents. Check it out at https://www.scishowtangents.org ---------- Support SciShow by be
From playlist Uploads
EEVblog #58 - Warm and Fuzzy FPGA Troubleshooting
Look, up in the sky, is it a hardware fault?, is it a software fault?, no, it's a bloody FPGA
From playlist Industry Stories
EEVblog 1447 - EXPENSIVE Fluke vs CHEAPER Brymen - Teardown
Why are Fluke multimeters so expensive? PART 2 A teardown of the Fluke 70/170 series vs the Brymen BM786. Is there any design and construction difference that justifies 2-3 times the price? 00:00 - Fluke vs Brymen 01:07 - The Yellow Peer Pressure 01:57 - Fluke 77/177 vs Brymen BM786 04:01
From playlist Multimeter Reviews
Building Robust Machine Learning Models
Modern machine learning libraries make model building look deceptively easy. An unnecessary emphasis (admittedly, annoying to the speaker) on tools like R, Python, SparkML, and techniques like deep learning is prevalent. Relying on tools and techniques while ignoring the fundamentals is th
From playlist Introduction to Robust & Adversarial AI
Isabelle Bloch - Hybrid AI for Knowledge Representation and Model-based Image Understanding - (...)
This presentation will focus on hybrid AI, as a step towards explainability, more specifically in the domain of spatial reasoning and image understanding. Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their
From playlist 8th edition of the Statistics & Computer Science Day for Data Science in Paris-Saclay, 9 March 2023
Daniel Ranard - QCAs and approximate locality - IPAM at UCLA
Recorded 01 September 2021. Daniel Ranard of the Massachusetts Institute of Technology presents "QCAs and approximate locality" during IPAM's Graduate Summer School: Mathematics of Topological Phases of Matter. Abstract: "Unitary evolutions of quantum lattice systems that preserve locality
From playlist Graduate Summer School 2021: Mathematics of Topological Phases of Matter
Everything You Need to Know About Control Theory
Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How
From playlist Control Systems in Practice
Next, the Programmable Web Browser (aka alternative to Chrome and Firefox)
While actual browsers expose their internals through an API and limit access to the host system, Next doesn't, allowing for infinite extensibility and inviting the users to program their web browser. On top of that, it doesn't tie itself to a particular platform (we currently provide bindi
From playlist Browsers
Don’t Be Scared Of Functional Programming
As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write, easy to debug, and provides a collection of modules that can be re-used to reduce future programming costs. Conventional languages place conceptual limi
From playlist Functional Programming
Object Tracking with a 2 DOF Robot Arm Using Fuzzy Logic #MATLABHW2k16
An anthropometrically designed 2 DOF robot arm is controlled by fuzzy logic in order to track a reference object, making use of two spheres of distinctive color. The implementation in Matlab of a fuzzy control, allows the robot to deal with the nonlinearities presented in this kind of syst
From playlist MATLAB and Simulink Hardware Projects
Fuzzy Inference System Walkthrough | Fuzzy Logic, Part 2
This video walks step-by-step through a fuzzy inference system. Learn concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing strength. Fuzzy Logic Toolbox: https://bit.ly/38xNy7E?s_eid=PSM_15028 ---------------------------------------
From playlist Fuzzy Logic
26C3: Advanced microcontroller programming 5/6
Clip 5/6 Speaker: wesen Getting deeper into AVR programming A lecture showing the result of one year of intense programming with the AVR microcontroller family, showing language tricks, showcasing devices like the at90usb* and the xmega families, and lots of entertaining war stories
From playlist 26C3: Here be dragons day 2