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

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