 Название: Matlab Control System Toolbox User's Guide
Автор: MathWorks
Издательство: The MathWorks, Inc
Год: 2018
Страниц: 1816
Язык: английский
Формат: True PDF
Размер: 28.4 MB
In Control System Toolbox, System Identification ToolboxTM, and Robust Control ToolboxTM software, you represent linear systems as model objects. In System Identification Toolbox, you also represent nonlinear models as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way. Model objects allow you to manipulate linear systems as single entities rather than keeping track of multiple data vectors, matrices, or cell arrays.
Model objects can represent single-input, single-output (SISO) systems or multiple-input, multiple-output (MIMO) systems. You can represent both continuous- and discrete-time linear systems.
The main families of model objects are:
- Numeric Models — Basic representation of linear systems with fixed numerical
coefficients. This family also includes identified models that have coefficients
estimated with System Identification Toolbox software.
- Generalized Models — Representations that combine numeric coefficients with
tunable or uncertain coefficients. Generalized models support tasks such as parameter
studies or compensator tuning.
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