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
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
!!Con West 2019 - Wesley Aptekar-Cassels: Robots, rockets, and more! Control theory in 10 minutes!
Presented at !!Con West 2019: http://bangbangcon.com/west Control theory is a branch of science and engineering dedicated to understanding and analyzing systems, how they respond to input, and how to control them. Learning about control theory has changed the way I view the world — having
From playlist !!Con West 2019
Optimal control of spin systems with applications in (...) - D. Sugny - Workshop 2 - CEB T2 2018
Dominique Sugny (Univ. Bourgogne) / 05.06.2018 Optimal control of spin systems with applications in Magnetic Resonance Optimal control can be viewed as a generalization of the classical calculus of variations for problems with dynamical constraints. Optimal control was born in its modern
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
Ludovic Rifford : Geometric control and dynamics
Abstract: The geometric control theory is concerned with the study of control systems in finite dimension, that is dynamical systems on which one can act by a control. After a brief introduction to controllability properties of control systems, we will see how basic techniques from control
From playlist Dynamical Systems and Ordinary Differential Equations
Developing HEV Control Systems
Learn about HEV modeling and simulation. In this video you will: - Get an overview of HEV controls systems and the concept of energy management. - Understand the detailed control algorithm implementation in Simulink® and Stateflow®. - Test the controller and learn best practices. Downloa
From playlist Hybrid Electric Vehicles
Using State Machines, Part 1: Supervisory Control
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Learn the basics of state machines in this MATLAB® Tech Talk by Will Campbell. Watch other videos in this series here: https://bit.ly/3hjmRmu Learn how to use finite sta
From playlist Using State Machines
Drilling Systems Modeling & Automation, Part 5: Supervisory Logic Design
This is part of a series. View the full playlist: https://www.youtube.com/playlist?list=PLn8PRpmsu08r0OZIcsfypveUt7GbxRqTN Drilling systems of today are designed around the human operator; the human verifies that equipment is reacting per applied set-points and interprets sensor readouts
From playlist Drilling Systems Modeling & Automation
UNIVAC I Computer Dr. John Mauchly TV talk 1952, RARE Kinescope! (ENIAC co-inventor)
UNIVAC I - This is a rare Televised talk by Dr. John Mauchly about the workings of the UNIVAC I computer. This 1952 episode called “Can Machines Think?” is a kinescope recording of “The Johns Hopkins Science Review” which aired weekly from 1948 until 1956. (Dr. Mauchly was co-inventor
From playlist Computer History: UNIVAC, Remington Rand, Sperry Rand
Mobile Robotics, Part 5: Performing a Sequence of Path Navigation Tasks
Learn how to design a supervisory logic that navigates a robot through a predefined path. Enter the MATLAB and Simulink Primary and Secondary School Competitions Hub: https://bit.ly/2JBr3jf Download Example Files: https://bit.ly/2XNktPt ---------------------------------------------------
From playlist MATLAB and Simulink Mobile Robotics
Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"
Intersections between Control, Learning and Optimization 2020 "Learning-based Model Predictive Control - Towards Safe Learning in Control" Melanie Zeilinger - ETH Zurich & University of Freiburg Abstract: The question of safety when integrating learning techniques in control systems has
From playlist Intersections between Control, Learning and Optimization 2020
Desktop to Real-Time Testing with EMS Hardware - Microgrid System Development and Analysis, Part 2
In the second video on microgrid systems, you explore different concepts required to design control strategies for distributed power systems. The focus is to introduce a microgrid example with a utility-scale energy storage system (ESS). This ESS provides peak shaving for the local microgr
From playlist Microgrid System Development and Analysis
Cyber risk management in insurance: How will the industry adapt to the changing landscape?
"Cyber risk management is here to stay for the long term. It really needs to evolve as the threat landscape evolves." Mary Frances Monroe, Director, Insurance Regulation and Policy, Regulatory Affairs Department, Institute of International Finance (IIF), joins us to talk about the regulat
From playlist Women in risk and finance
What Is PID Control? | Understanding PID Control, Part 1
Chances are you’ve interacted with something that uses a form of this control law, even if you weren’t aware of it. That’s why it is worth learning a bit more about what this control law is, and how it helps. PID is just one form of feedback controller. It is the simplest type of contro
From playlist Understanding PID Control
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
Designing Robot Manipulator Algorithms
Jose Avendano and Sebastian Castro walk you through the robot manipulator workflows available within MATLAB® and Simulink®. You will see how you can import your own designs or create MATLAB and Simulink representations to quickly program and simulate manipulation tasks such as waypoint tra
From playlist Modeling, Simulation and Control: MATLAB and Simulink Robotics Arena
1951 UNIVAC 1 Computer Basic System Components First Mass Produced Computer in U.S.
An educational overview of the 1951 UNIVAC 1 showing many basic components. Intro segment includes higher quality images than are contained in the original 1953 film. The 1953 film begins at index 5:52, followed by brief photo gallery. UNIVAC was the first mass produced business comput
From playlist Computer History: UNIVAC, Remington Rand, Sperry Rand
How to Develop Battery Management Systems in Simulink, Part 2: The BMS Algorithm
Learn how to use Stateflow® to develop supervisory control for a battery management system (BMS). This video shows how Stateflow lets you model conditional states within the BMS. You can use Stateflow to describe how algorithms and models react to input signals, events, and time-based con
From playlist Battery Management Systems
Toward a Normative Account of the Capacity Constraints in Cognitive Control - J. Cohen - 11/08/18
T & C Chen Center for Social and Decision Neuroscience Distinguished Lecture "Toward a Normative Account of the Capacity Constraints in Cognitive Control: Shared vs. Separated Representations and Interactive vs. Independent Parallelism" Jonathan Cohen, Robert Bendheim and Lynn Bendheim T
From playlist Talks and Seminars