In control theory, Advanced process control (APC) refers to a broad range of techniques and technologies implemented within industrial process control systems. Advanced process controls are usually deployed optionally and in addition to basic process controls. Basic process controls are designed and built with the process itself, to facilitate basic operation, control and automation requirements. Advanced process controls are typically added subsequently, often over the course of many years, to address particular performance or economic improvement opportunities in the process. Process control (basic and advanced) normally implies the process industries, which includes chemicals, petrochemicals, oil and mineral refining, food processing, pharmaceuticals, power generation, etc. These industries are characterized by continuous processes and fluid processing, as opposed to discrete parts manufacturing, such as automobile and electronics manufacturing. The term process automation is essentially synonymous with process control. Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or fault-tolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical, advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. (Wikipedia).
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
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
Prerequisites of a smooth function.
From playlist Advanced Calculus / Multivariable Calculus
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
Mathematica 8: Integrated Control Systems Design
Mathematica 8 provides an extensive suite of built-in functionality to carry out analysis, design, and simulation of continuous- and discrete-time control systems with both classical and modern techniques. Mathematica's powerful symbolic-numeric computation engine facilitates the use of an
From playlist Mathematica 8 Feature Spotlights
15_3_3 Continuation of previous problem
In the video I continue with the previous example problem.
From playlist Advanced Calculus / Multivariable Calculus
Understanding Control Systems: Introduction
Explore real-life examples to understand and gain insights into fundamental control systems concepts. These MATLAB® Tech Talks cover control systems topics ranging from introductory to advanced. The first series introduces the working principles behind open-loop and closed-loop control sy
From playlist Understanding Control Systems
🔥Automation Anywhere Full Course | Automation Anywhere Tutorial | RPA Course | RPA | Simplilearn
🔥Introduction to Robotic Process Automation Course: https://www.simplilearn.com/introduction-to-robotic-process-automation-course?utm_campaign=AAFC6Feb2023&utm_medium=Descriptionff&utm_source=youtube In this Automation Anywhere full course, you will learn the complete Automation Anywhere
From playlist Simplilearn Live
Automation Anywhere Full Course | Automation Anywhere Tutorial | RPA Course | Learn RPA |Simplilearn
In this Automation Anywhere full course, you will learn the complete Automation Anywhere tool with hands-on demos. Automation Anywhere is a well-known Robotic Process Automation tool that enables businesses to automate end-to-end operations. 🔥Enrol for Free RPA Course & Get Your Completi
From playlist Simplilearn Live
Automation Anywhere Interview Questions And Answers | RPA Interview Questions | Simplilearn
This Video on Automation Anywhere Interview questions and answers will help you crack the interview at ease. If you plan to attend an interview for an RPA or Automation Anywhere developer role, here is a comprehensive list of the most frequently asked Automation Anywhere interview question
From playlist RPA - Robotic Process Automation [2022 Updated]
Automation Anywhere Tutorial | Automation Anywhere Tutorial For Beginners | Simplilearn
🔥Enroll in our RPA Course - https://www.simplilearn.com/introduction-to-robotic-process-automation-course?utm_campaign=AutomationAnywhereTutorial-J1amp1GIM4g&utm_medium=DescriptionFF&utm_source=youtube In this Automation Anywhere Tutorial, you will learn Automation Anywhere with a hands-o
From playlist RPA - Robotic Process Automation [2022 Updated]
Transport Layer In Computer Network | OSI Model | Transport Layer | Computer Networks | Simplilearn
Transport Layer In OSI Model by simplilearn is a Computer networking-oriented tutorial that explains the fundamentals of the Transport Layer in Computer networks. The transport layer handles the error detection and verification of the data shared by the upper layers of the OSI model for be
From playlist Networking
Excel Magic Trick 1226: Compare 2 Lists, Extract Items In List 2 That are NOT in List 1 (6 Examples)
Download Excel Start File: https://excelisfun.net/files/EMT1226-1227.xlsx Download File: https://excelisfun.net/ Learn how to Compare 2 Lists, Extract Items In List 2 That are NOT in List 1: 1. (00:12) Problem Description and Intro To Topic 2. (01:57) Example 1: Method 1: MATCH function H
From playlist Excel Compare / Merge Two Lists
1957 - 1960's IBM 705 Mainframe Computer Data Processing- USAF Military Punch Card, Educational
This film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Titled: "Logistic Support Management in Advanced Weapons." Although the letters “IBM” were apparently taped over by the original film producers, the equipment is clearly an ear
From playlist Computers of the 1960's
Automation Anywhere Examples | Automation Anywhere Commands Tutorial | Edureka | RPA Live - 4
🔥Edureka RPA Developer Master's Program: https://www.edureka.co/masters-program/rpa-developer-training This Edureka "Automation Anywhere Examples" will cover different types of automation you can perform with Automation Anywhere. 🔴To subscribe to our channel and hit the bell icon to never
From playlist Edureka Live Classes 2020
Computer History: IBM Film 1989 Systems Integration Division (automation airports traffic control)
IBM Automation: Original IBM Film SYSTEMS INTEGRATION DIVISION ("SID") of 1989; automation solutions for business, military, police departments, airports and more. Good discussion of Systems Integration and creating business solutions, including IBM's solutions for modernizing the Air Traf
From playlist Early Microcomputers & PCs
5 of the Most Important Inventions in Robotics
A lot of robots are developed to physically replicate our actions and behavior, like a bipedal, balanced walk, a large range of motion, and the ability to perceive and interact with the environment. But, maybe not to your surprise, that's a lot more difficult to replicate than some viral r
From playlist Uploads
Example and looking ahead at methods of calculating convergence.
From playlist Advanced Calculus / Multivariable Calculus