Basic Models

线性系统的通用模型，例如传输函数和状态空间模型

数字线性时间不变（LTI）模型是您用来表示线性系统的基本构建块。数字LTI模型对象可让您将动态系统存储在常用表示中。例如，tfmodels represent transfer functions in terms of the coefficients of their numerator and denominator polynomials, andssmodels represent LTI systems in terms of their state-space matrices. There are also LTI model types specialized for representing PID controllers in terms of their proportional, integral, and derivative coefficients.

通过将单个组件表示为LTI模型并将组件连接以建模控制架构，从而建立了控制系统的更复杂模型。例如，请参阅Control System Modeling with Model Objects.

Functions

expand all

Basic Models

`tf`	Transfer function model
`ZPK`	零极成模型
`ss`	State-space model
`frd`	Frequency-response data model
`菲尔特`	Specify discrete transfer functions in DSP format
`DSS`	Create descriptor state-space models

PID Models

`pid`	Create PID controller in parallel form, convert to parallel-form PID controller
`pidstd`	Create a PID controller in standard form, convert to standard-form PID controller
`pid2`	以并行形式创建2-DOF PID控制器，转换为平行形式的2-DOF PID控制器
`PIDSTD2`	Create 2-DOF PID controller in standard form, convert to standard-form 2-DOF PID controller

Generate Random Models

`rss`	Generate random continuous test model
`博士`	Generate random discrete test model

块

LTI系统	使用线性时间不变的系统模型对象万博1manbetx
LPV System	Simulate Linear Parameter-Varying (LPV) systems

Topics

Getting Started

Control System Modeling with Model Objects
Model objects can represent components such as the plant, actuators, sensors, or controllers. You connect model objects to build aggregate models that represent the combined response of multiple elements.
What Are Model Objects?
Model objects represent linear systems as specialized data containers that encapsulate model data and attributes in a structured way.
使用模型对象
Ways to use model objects include linear analysis, compensator design, and control system tuning.

连续时间模型

Creating Continuous-Time Models
This example shows how to create continuous-time linear models using thetf,ZPK,ss，和frdcommands.
传输功能
Represent transfer functions in terms of numerator and denominator coefficients or zeros, poles, and gain.
State-Space Models
用状态空间矩阵表示状态空间模型。
Frequency Response Data (FRD) Models
以各种频率的响应的大小和相位表示动态系统。
Proportional-Integral-Derivative (PID) Controllers
g代表PID控制器的控制器ains or time constants.
Two-Degree-of-Freedom PID Controllers
二-DOF PID控制器可以在设定值跟踪中实现更快的干扰排斥速度而不会显着增加。
Using the Right Model Representation
This example shows some best practices for working with LTI models.

Discrete-Time Models

创建离散时间模型
This example shows how to create discrete-time linear models using thetf,ZPK,ss，和frdcommands.
Discrete-Time Numeric Models
Represent discrete-time numeric models by specifying a sample time when you create the model object.
Discrete-Time Proportional-Integral-Derivative (PID) Controllers
The integrator and filter terms in discrete-time PID controllers can be represented by several different formulas.

MIMO模型

MIMO传递函数
Create MIMO transfer functions by concatenating SISO transfer functions or by specifying coefficient sets for each I/O channel.
MIMO State-Space Models
These examples show how to represent MIMO systems as state-space models.
MIMO Frequency Response Data Models
在系统中使用来自多个I/O对的频率响应数据来创建MIMO频率响应模型。
Select Input/Output Pairs in MIMO Models
Extract particular I/O channels from a MIMO dynamic system model.

LTI模型中万博1manbetx

Import LTI Model Objects into Simulink
使用LTI系统块将线性系统模型对象导入Simulink万博1manbetx^®.

有关模型对象的更多信息

模型对象的类型
Model object types include numeric models, for representing systems with fixed coefficients, and generalized models for systems with tunable or uncertain coefficients.
Dynamic System Models
表示具有内部动力学或对过去状态的内存的系统，例如集成商，延迟，传输功能和状态空间模型。
Numeric Models
Numeric LTI Models represent dynamic elements, such as transfer functions or state-space models, with fixed coefficients.
静态模型
Represent static input/output relationships, including tunable or uncertain parameters and arrays.