• Overview

  Plant Inputs and Outputs

  Transfer Function Format

  Zero/Pole/Gain Format

  State-Space Format

  LTI Object Properties

  Multiinput-Multioutput (MIMO) Plants

  LTI Model Characteristics

  Linearization Using MATLAB Code

  Linearization Using Linear Analysis Tool in Simulink Control Design

  Estimate Plant Model

  Construct Model Predictive Controller with System Identification Toolbox Model

  How Inputs are Treated

  Using Step-Response Models

• Introduction

  Loading a Plant Model

  Navigation Using the Tree View

  Defining Simulation Conditions

  Running a Simulation

  Open-Loop Simulations

  Model and Horizons

  Weight Tuning

  Blocking

  Defining Manipulated Variable Constraints

  Disturbance Modeling and Estimation

  Plant Model Perturbation

  Simulation Tests

  Importing the Plant Model

  Specifying Controller Horizons

  More Outputs Than Manipulated Variables

  More Manipulated Variables Than Outputs

  MPC Controller Block

  Initiating the Controller Design

  Validating the Linearized Model

  Modifying the Linearized Model

  Linear Simulation Tests

  Nonlinear Simulation Tests

  Modifying the Controller Using the Design Tool

  Exiting the Design Tool

  Exporting a Controller

  Saving a Project

• Controller Definition

  Viewing and Altering Controller Properties

  Using the sim Function

  Saving Calculated Results

  Simulation Options

  Nonlinear CSTR Application

  Example Code for Successive Linearization

  CSTR Results and Discussion

  A Two-Model Plant

  Designing the Two Controllers

  Simulating Controller Performance

  Steady-State Gain Computation

  Controller Extraction

  Designing a Model Predictive Controller for a Plant

  A Two-Model Plant

  Animation of the Multi-Model Example

  Designing the Two Controllers

  Simulating Controller Performance