Control theory | Artificial neural networks

Feed forward (control)

A feed forward (sometimes written feedforward) is an element or pathway within a control system that passes a controlling signal from a source in its external environment to a load elsewhere in its external environment. This is often a command signal from an external operator. A control system which has only feed-forward behavior responds to its control signal in a pre-defined way without responding to the way the load reacts; it is in contrast with a system that also has feedback, which adjusts the input to take account of how it affects the load, and how the load itself may vary unpredictably; the load is considered to belong to the external environment of the system. In a feed-forward system, the control variable adjustment is not error-based. Instead it is based on knowledge about the process in the form of a mathematical model of the process and knowledge about, or measurements of, the process disturbances. Some prerequisites are needed for control scheme to be reliable by pure feed-forward without feedback: the external command or controlling signal must be available, and the effect of the output of the system on the load should be known (that usually means that the load must be predictably unchanging with time). Sometimes pure feed-forward control without feedback is called 'ballistic', because once a control signal has been sent, it cannot be further adjusted; any corrective adjustment must be by way of a new control signal. In contrast, 'cruise control' adjusts the output in response to the load that it encounters, by a feedback mechanism. These systems could relate to control theory, physiology, or computing. (Wikipedia).

Feed forward (control)
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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

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4 Ways to Implement a Transfer Function in Code | 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

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A Better Way to Think About a Notch Filter | Control Systems in Practice

Check out the other videos in the series: Part 1 - What Does a Control 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.b

From playlist Control Systems in Practice

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Feedforward and Feedback control strategies Lecture 2018-01-05

High level descriptions of feedforward vs feedback with reference to causality

From playlist CPB Theme 1

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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

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In this lecture, we discuss the overarching goal of balanced model reduction: Identifying key states that are most jointly controllable and observable, to capture the most input—output energy. https://www.eigensteve.com/

From playlist Data-Driven Control with Machine Learning

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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

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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

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From playlist Control Systems in Practice

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Check out the other videos in the series: Part 1 - What Does a Control 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.b

From playlist Control Systems in Practice

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Rana Adhikari - Control Systems

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

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From playlist Modeling, Simulation and Control: MATLAB and Simulink Robotics Arena

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From playlist Mechatronics with MATLAB and Simulink

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From playlist Drone Simulation and Control

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드론 프로그래밍– PID 제어기 튜닝

[한글 자막] 드론 제어 시스템 설계 프로세스에 대해 배울 수 있습니다. 쿼드콥터 모델을 빌드, 시뮬레이션하고 테스트를 수행합니다. 드론 프로그래밍 1편 - 제어 시스템 설계: https://youtu.be/h4GRJ38TU6U 드론 프로그래밍 2편 - 쿼드콥터 호버링 제어 시스템: https://youtu.be/GK1t8YIvGM8 드론 프로그래밍 3편 - 비행체 모델 설계와 시뮬레이션: https://youtu.be/3Gtb5Eq1Lvk 드론 프로그래밍 4편 - 시뮬레이션 모델 개발: https://yout

From playlist 드론 프로그래밍

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Check out this 3B1B video on Fourier Transforms for a fantastic visual explanation: https://www.youtube.com/watch?v=spUNpyF58BY Get the map of control theory: https://www.redbubble.com/shop/ap/55089837 Download eBook on the fundamentals of control theory (in progress): https://engineering

From playlist Fourier

Related pages

Feedback | Systems theory | Open-loop controller | Bandwidth (signal processing) | Control theory | Order of magnitude | Minimum phase | Perceptron | Smith predictor | Model predictive control | Control system | PID controller | Mathematical model | Hysteresis