Intermittent Planetary Mechanism
This mechanism produces a reciprocating movement, with the forward always longer than the backward. It uses a planetary mechanism with two inputs, the sun and the ring. The output is the arm. The inputs are provided by an intermittent mechanism, with one gear moving two others, one at a ti
From playlist Planetary Mechanisms
http://www.mekanizmalar.com/menu_gear.html This video demonstrates how a gear pair can bu used as an indexing system.
From playlist Indexing
This is an indexer mechanism. It uses a combination of two intermittent mechanisms. A mutilated gear determines the still/moving cycle times. And a geneva mechanism makes the movement and locks the driven wheel.
From playlist Geneva Mechanisms
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
What Is Feedforward Control? | Control Systems in Practice
A control system has two main goals: get the system to track a setpoint, and reject disturbances. Feedback control is pretty powerful for this, but this video shows how feedforward control can make achieving those goals easier. Temperature Control in a Heat Exchange Example: http://bit.ly
From playlist Control Systems in Practice
What Are Non-Minimum Phase Systems? | Control Systems in Practice
Check out the other videos in the series: Part 1 - What Does a Controls Engineer Do? https://youtu.be/ApMz1-MK9IQ Part 2 - What Is Gain Scheduling? https://youtu.be/YiUjAV1bhKs Part 3 - What Is Feedforward Control? https://youtu.be/FW_ay7K4jPE Part 4 - Why Time Delay Matters https://youtu.
From playlist Control Systems in Practice
What Is Gain Scheduling? | Control Systems in Practice
Often, the best control system is the simplest. When the system you’re trying to control is highly nonlinear, this can lead to very complex controllers. This video continues our discussion on control systems in practice by talking about a simple form of nonlinear control: gain scheduling.
From playlist Control Systems in Practice
Intermittent Fasting: How to Best Use it for Fat Loss (5 Things You Need to Know)
At first glance, intermittent fasting for weight loss (and more importantly “fat loss”) seems pretty counter intuitive. The idea of skipping breakfast, consuming zero calories for several hours on end and then feasting within a designated time period goes against much of what’s typically b
From playlist FAT LOSS TIPS
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
Dr. Mark Mattson on the Benefits of Stress, Metabolic Switching, Fasting, and Hormesis
In this episode, Dr. Mark Mattson discusses how stressing the body through exercise, fasting, and plant phytochemicals have beneficial effects on the brain and overall health. Dr. Mark Mattson is an adjunct professor of neuroscience at the Johns Hopkins University School of Medicine and
From playlist Interviews
Babbage's Difference Engine No. 2, Part 4: The Control Section
In the 1840's, the English mathematician Charles Babbage designed his "Difference Engine No. 2", a special-purpose mechanical computer for constructing mathematical tables using the method of finite differences. The machine is massive, weighing several tons, and was not actually built unti
From playlist How Babbage's Difference Engine No. 2 Works
Extreme teardown - Simplex 35mm cinema projector - Part 7 The Projector Itself
Finally, actually tearing down the projector!
From playlist Teardowns
The route to turbulence by Dwight Barkley
COLLOQUIUM THE ROUTE TO TURBULENCE SPEAKER: Dwight Barkley (University of Warwick, UK) DATE: Thu, 20 February 2020, 14:30 to 16:00 VENUE: Emmy Noether Seminar Room, ICTS Campus, Bangalore ABSTRACT Explaining the route to turbulence has been a long and tortuous journey. After years
From playlist ICTS Colloquia
Hankel Alternative View of Koopman (HAVOK) Analysis [SHORT]
This video illustrates a new algorithm to decompose chaos into a linear system with intermittent forcing. This is based on the Hankel Alternative View of Koopman (HAVOK) analysis that builds linear regression models on eigen-time-delay coordinates. Chaos as an Intermittently Forced Line
From playlist Research Abstracts from Brunton Lab
Tipping in Thermoacoustic Systems and Their Early Warning Signals by R. I. Sujith
PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an
From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)
Data Driven Methods for Complex Turbulent Systems ( 3 ) - Andrew J. Majda
Lecture 3: Data Driven Methods for Complex Turbulent Systems Abstract: An important contemporary research topic is the development of physics constrained data driven methods for complex, large-dimensional turbulent systems such as the equations for climate change science. Three new approa
From playlist Mathematical Perspectives on Clouds, Climate, and Tropical Meteorology
Stanford Seminar - Complex Coupled Networked Systems
"Complex Coupled Networked Systems" -Arun Majumdar, Stanford University This seminar features leading Industrial and academic experts on big data analytics, information management, data mining, machine learning, and large-scale data processing. Learn more: http://stanford.io/1CnPxC8
From playlist Statistics and Data Science
Understanding Control Systems, Part 2: Feedback Control Systems
Explore introductory examples to learn about the basics of feedback control (closed-loop control) systems. Learn how feedback control is used to automate processes and discover how it deals with system variations and unexpected environmental changes. The examples utilize everyday applian
From playlist Understanding Control Systems