Linear System Representation
Models of linear systems
Model objects can represent single-input, single-output (SISO) systems or multiple-input, multiple-output (MIMO) systems. You can represent both continuous-time and discrete-time linear systems, and systems with time delays. Basic model objects such as transfer functions and state-space models represent systems with fixed numeric coefficients. Build up more complex models of control systems by representing individual components as LTI models and connecting the components to model your control architecture. For an example, see Control System Modeling with Model Objects.
Categories
- Numeric Linear Time-Invariant Models
Common models of linear systems, such as transfer functions and state-space models
- Tunable Models
Models with tunable or parametric coefficients
- State-Space Models
State-space representations of LTI models
- Sparse State-Space Models
Large scale state-space models with sparse data
- LPV and LTV Models
Linear parameter-varying and linear time-varying models
- Models with Time Delays
Systems with input, output, transport, and internal delays
- Model Attributes
Specify and query model characteristics such as coefficients, labels, and units
- Model Arrays
Generation of collections of models, such as for parameter studies