Classical control theory

Open-loop controller

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).

Open-loop controller
Video thumbnail

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

Video thumbnail

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

Video thumbnail

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

Video thumbnail

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

Video thumbnail

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

Video thumbnail

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 Toolboxโ„ข. You can use pole placement technique when the system is controllable and when al

From playlist Control System Design and Analysis

Video thumbnail

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. Weโ€™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

Video thumbnail

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

Video thumbnail

Closed Center Valve

http://www.mekanizmalar.com This is a flash animation of a hydraulic closed center valve.

From playlist Pneumatic and Hydraulics

Video thumbnail

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

Video thumbnail

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

Video thumbnail

Control Bootcamp: Overview

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

Video thumbnail

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

Video thumbnail

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

Video thumbnail

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 ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป 01:12 ๐—™๐—ข๐—– ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ 03:32 ๐—ฆ๐—ฒ๐—ป๐˜€๐—ผ๐—ฟ-๐—•๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—™๐—ข๐—– Field-Oriented Control of PMSM Using Quadrature Encoder: https://bit.ly/39a7cnx Field-Oriented Control of PMSM Using Hall Sensor

From playlist Motor Control

Video thumbnail

4.) Quiz #1

From playlist Open Q&A

Video thumbnail

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

Related pages

Feedback | Process control | Control theory | Feed forward (control) | PID controller | Control system | Process variable | Setpoint (control system)