In control theory, an open-loop controller, also called a non-feedback controller, is a control system in which the control action is independent of the "process output", which is the process variable that is being controlled. It does not use feedback to determine if its output has achieved the desired goal of the input command or process setpoint. There are many open-loop controls, such as on/off switching of valves, machinery, lights, motors or heaters, where the control result is known to be approximately sufficient under normal conditions without the need for feedback. The advantage of using open-loop control in these cases is the reduction in component count and complexity. However, an open-loop system cannot correct any errors that it makes or correct for outside disturbances, and cannot engage in machine learning, unlike a closed-loop control system. (Wikipedia).
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
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
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. Details can be found in https://nms.kcl.ac.uk/hk.lam/HKLam/index.php/demonstrations
From playlist Demonstrations
Using Bode Plots, Part 2: Open Loop Shaping
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Learn how to achieve desired closed-loop characteristics by shaping open-loop frequency response in this MATLABยฎ Tech Talk by Carlos Osorio. Watch other MATLAB Tech Talk vi
From playlist Using Bode Plots
State Space Models, Part 2: Control Design
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Design a full-state feedback controller using pole placement using Control System Toolboxโข. You can use pole placement technique when the system is controllable and when al
From playlist Control System Design and Analysis
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. Weโll 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
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
http://www.mekanizmalar.com This is a flash animation of a hydraulic closed center valve.
From playlist Pneumatic and Hydraulics
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
Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control. These lectures follow Chapter 8 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Con
From playlist Control Bootcamp
Renรฉ Carmona: Mean field games with major and minor players
Abstract: We introduce a new strategy for the solution of Mean Field Games in the presence of major and minor players. This approach is based on a formulation of the fixed point step in spaces of controls. We use it to highlight the differences between open and closed loop problems. We ill
From playlist Probability and Statistics
Disk Margins for MIMO Systems | Robust Control, Part 3
Watch the first two videos in this series: Robust Control, Part 1: What Is Robust Control? - https://youtu.be/A7wHSr6GRnc Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 This video shows how margin can be used to assess the robustness of multi-input, mult
From playlist Robust Control
10 Practical Considerations for Implementing FOC with Simulink, Motor Control, Part 6
Check out the following resources to get started with designing and implementing FOC algorithms. 00:00 ๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป 01:12 ๐๐ข๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ 03:32 ๐ฆ๐ฒ๐ป๐๐ผ๐ฟ-๐๐ฎ๐๐ฒ๐ฑ ๐๐ข๐ Field-Oriented Control of PMSM Using Quadrature Encoder: https://bit.ly/39a7cnx Field-Oriented Control of PMSM Using Hall Sensor
From playlist Motor Control
From playlist Open Q&A
Understanding Control Systems, Part 4: Simulating Disturbance Rejection in Simulink
This demonstration uses a car to show how you can simulate open- and closed-loop systems in Simulinkยฎ. Download model: http://bit.ly/2Qau7XO Watch other MATLAB Tech Talks: https://goo.gl/jD0uOH Get a free Product Trial: https://goo.gl/C2Y9A5 First, you will learn how to model and tune ope
From playlist Understanding Control Systems