Managerial Control: Definition

Features of control system


All standard model representations are supported, including transfer function, zero-pole-gain, explicit and descriptor state-space, and frequency-response data. Linear models can be SISO or MIMO, and continuous or discrete. You can represent PID controllers as PID objects. In addition, you can accurately model and simulate systems with time delays, including feedback loops with delays.

Control System Toolbox enables you to create and work with collections of linear models and model arrays. You can use model arrays to represent and analyze sensitivity to parameter variations or to validate a controller design against several plant models. You can also approximate nonlinear dynamics using linear parameter-varying (LPV) systems. The toolbox lets you simulate such systems using LPV System block.

Building a model of your plant is usually the first step in designing a control system. If no linear model is available, you can build one by fitting test data using System Identification Toolbox™, or by linearizing a Simulink® model using Simulink Control Design™. Once you have created a linear model, you can use Control System Toolbox to analyze it and design a controller.



Share this article





Related Posts


Stability of control Systems
Stability of control Systems

Latest Posts
System Controls Technology Solutions Pvt Ltd
System Controls…
Bosch Chassis Systems India Pvt. Ltd…
Sequential control definition
Sequential control…
Summary: In interface design favor direct…
Solar system controller
Solar system…
What follows is a summary of our white…
Types of Electrical control Systems
Types of Electrical…
Before I introduce you the theory of…
Adaptive Cruise control Systems
Adaptive Cruise…
Two companies are developing a more advanced…
Search
Featured posts
  • Internal control system of a company
  • Stability of control Systems
  • Different types of Control Systems in Engineering
  • Basics of Control Systems Engineering
  • Applications of Control Systems Engineering
  • Applications of Control Systems in Electrical Engineering
  • Types of Control Systems in Engineering
  • Applications of Control Systems in Industry
  • Best version control system
Copyright © 2020 l www.oliver-control.com. All rights reserved.