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
The Step Response | Control Systems in Practice
Check out the other videos in this series: https://www.youtube.com/playlist?list=PLn8PRpmsu08pFBqgd_6Bi7msgkWFKL33b This video covers a few interesting things about the step response. We’ll look at what a step response is and some of the ways it can be used to specify design requirements f
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
Understanding Control Systems, Part 1: Open-Loop Control Systems
Explore open-loop control systems by walking through some introductory examples. Learn how open-loop systems are found in every day appliances like toasters or showers, and discover how they can be tuned by trial-and-error to achieve a desired output. Watch other MATLAB Tech Talks: https:
From playlist Understanding Control Systems
http://www.mekanizmalar.com This is a flash animation of a hydraulic closed center valve.
From playlist Pneumatic and Hydraulics
Passivity-Based Control to Guarantee Stability | Control Systems in Practice
Learn about passivity-based control to guarantee closed-loop stability of feedback systems. Consider different ways to assess the stability of systems other than looking at gain and phase margin. Control System Toolbox: https://bit.ly/3LyCeHa?s_eid=PSM_15028 -----------------------------
From playlist Control Systems in Practice
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
Closed Loop Hydrostatic Transmission
http://www.mekanizmalar.com/closed_loop_hydraulic_transmission.html Closed loop hydrostatic transmission, also known as hydraulic transmissions is used to convert a constant horsepower input to wide range of speed and torque combination, including reverse rotation.
From playlist Pumps
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
PID Control of a Brushless DC Motor
Get free resources on Modeling and Simulating Motor Controllers: http://bit.ly/2P6Lt7h Learn how to automatically tune gains of a cascaded PID controller that controls the inner voltage and the outer speed loop of a brushless DC motor with a trapezoidal back-EMF. Learn more about motor
From playlist Power Electronics Control Design
Control Bootcamp: Benefits of Feedback on Cruise Control Example (Part 2)
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example. (Part 2) Code available at: faculty.washington.edu/sbrunton/control_bootcamp_code.zip These lectures follow Chapters 1 & 3 from: Machine learn
From playlist Control Bootcamp
Control Bootcamp: Benefits of Feedback on Cruise Control Example
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example. Code available at: faculty.washington.edu/sbrunton/control_bootcamp_code.zip These lectures follow Chapters 1 & 3 from: Machine learning contr
From playlist Control Bootcamp
EE102: Introduction to Signals & Systems, Lecture 20
These lectures are from the EE102, the Stanford course on signals and systems, taught by Stephen Boyd in the spring quarter of 1999. More information is available at https://web.stanford.edu/~boyd/ee102/
From playlist EE102: Introduction to Signals & Systems
Introduction to Full State Feedback Control
In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop system at user specified locations. We explore when this is feasible and infeasible using several examples. Topics and time stamps: (0
From playlist Control Theory
Automated Workflows for System Modeling and Controller Design
The Wolfram Language has been enhanced with several features to enable better integration of system modeling and to automate and streamline the subsequent controller design and simulation. These improvements include the capability to work directly with models created in System Modeler, com
From playlist Wolfram Technology Conference 2021
1. Introduction and Basic Concepts
MIT Electronic Feedback Systems (1985) View the complete course: http://ocw.mit.edu/RES6-010S13 Instructor: James K. Roberge License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Electronic Feedback Systems (1985)
EE102: Introduction to Signals & Systems, Lecture 22
These lectures are from the EE102, the Stanford course on signals and systems, taught by Stephen Boyd in the spring quarter of 1999. More information is available at https://web.stanford.edu/~boyd/ee102/
From playlist EE102: Introduction to Signals & Systems
Peter R Saulson - Control Systems (Basics (feedback))
PROGRAM: ICTS Winter School on Experimental Gravitational-Wave Physics DATES: Monday 23 Dec, 2013 - Saturday 28 Dec, 2013 VENUE: Raja Ramanna Centre for Advanced Technology, Indore PROGRAM LINK: http://www.icts.res.in/program/GWS2013 A worldwide network of detectors are currently involved
From playlist ICTS Winter School on Experimental Gravitational-Wave Physics
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. Details can be found in https://nms.kcl.ac.uk/hk.lam/HKLam/index.php/demonstrations
From playlist Demonstrations