An industrial process control in continuous production processes is a discipline that uses industrial control systems to achieve a production level of consistency, economy and safety which could not be achieved purely by human manual control. It is implemented widely in industries such as automotive, mining, dredging, oil refining, pulp and paper manufacturing, chemical processing and power generating plants. There is a wide range of size, type and complexity, but it enables a small number of operators to manage complex processes to a high degree of consistency. The development of large industrial process control systems was instrumental in enabling the design of large high volume and complex processes, which could not be otherwise economically or safely operated. The applications can range from controlling the temperature and level of a single process vessel, to a complete chemical processing plant with several thousand control loops. (Wikipedia).
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
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
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
Data-Driven Control: The Goal of Balanced Model Reduction
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
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
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
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
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
Lec 20 | MIT 2.830J Control of Manufacturing Processes, S08
Lecture 20: Case study 2: cycle to cycle control Instructor: Duane Boning, David Hardt View the complete course at: http://ocw.mit.edu/2-830JS08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 2.830J, Control of Manufacturing Processes S08
MIT 16.660J Introduction to Lean Six Sigma Methods, IAP 2012 View the complete course: http://ocw.mit.edu/16-660JIAP12 Instructor: Earll Murman This session introduces six sigma, a valuable approach for improving process quality. It includes an active learning exercise in which students l
From playlist MIT 16.660J / ESD.62J / 16.853 Introduction to Lean Six Sigma Methods, IAP 2012
Project Integration Management | CAPM® Certification Training
CAPM® Certification training course, with the continuation from part 1, this video starts with lesson 4 and 5 respectively – Project Integration Management and Project Scope Management. 🔥Free CAPM Course: https://www.simplilearn.com/capm-basics-skillup?utm_campaign=CAPM&utm_medium=Descript
From playlist CAPM Training Videos
Lec 8 | MIT 2.830J Control of Manufacturing Processes, S08
Lecture 8: Process capability and alternative SPC methods Instructor: Duane Boning, David Hardt View the complete course at: http://ocw.mit.edu/2-830JS08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 2.830J, Control of Manufacturing Processes S08
Huyên Pham - Randomization approach for stochastic control problems
Huyên Pham (Université Paris Diderot) We study optimal stochastic control problem for non-Markovian stochastic differential equations (SDEs) where the drift, diffusion coefficients, and gain functionals are path-dependent, and importantly we do not make any ellipticity assumption on the
From playlist Schlumberger workshop on Topics in Applied Probability
Kernel Recipes 2016 - Control Group Status Update - Tejun Heo
cgroup has seen a lot of activities recently especially with the v2 effort. This talk goes over the v2 interface and discusses the recent developments and what’s to come in cgroup. Tejun Heo
From playlist Kernel Recipes 2016
Cheese, Catastrophes, & Process Control: Crash Course Engineering #25
Engineering, like life, could really use a lot more cheese. This week we are looking at a cheese factory in Toronto and what it can teach us about process control systems. We’ll explore feedforward and feedback systems, and see how integrating them both with the final check of cascade cont
From playlist Engineering
PMP 6th Edition Training Video | PMBOK 6th Edition | PMP Certification Training Video | Simplilearn
This PMP 6th Edition Training Video tells you everything you need to know to start with your journey to becoming a project manager. This video covers in great detail what exactly is the PMP Certification, what the PMBOK is, the eligibility criteria to get PMP certified, process management
From playlist PMP Training Videos [2022 Updated]
Integrated Change Control | PMP | Edureka
( PMP Certification Training - https://www.edureka.co/pmp-certification-exam-training ) Watch the sample class recording: http://www.edureka.co/pmp?utm_source=youtube&utm_medium=referral&utm_campaign=change-control Perform Integrated Change Control is the second part in the area of moni
From playlist PMP Certification Training Videos
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
Lec 1 | MIT 2.830J Control of Manufacturing Processes, S08
Lecture 1: Introduction -- processes and variation framework Instructor: Duane Boning, David Hardt View the complete course at: http://ocw.mit.edu/2-830JS08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 2.830J, Control of Manufacturing Processes S08