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| R2012a Documentation → Control System Toolbox | |
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sys = setDelayModel(H,tau)
sys = setDelayModel(A,B1,B2,C1,C2,D11,D12,D21,D22,tau)
sys = setDelayModel(H,tau) constructs the state-space model sys obtained by LFT interconnection of the state-space model H with the vector of internal delays tau, as shown:
sys = setDelayModel(A,B1,B2,C1,C2,D11,D12,D21,D22,tau) constructs the state-space model sys described by the following equations:
tau (τ) is the vector of internal delays in sys.
setDelayModel is an advanced operation and is not the natural way to construct models with internal delays. See Models with Time Delays for recommended ways of creating internal delays.
The syntax sys = setDelayModel(A,B1,B2,C1,C2,D11,D12,D21,D22,tau) constructs a continuous-time model. You can construct the discrete-time model described by the state-space equations
To do so, first construct sys using sys = setDelayModel(A,B1,B2,C1,C2,D11,D12,D21,D22,tau). Then, use sys.Ts to set the sampling time.
H |
State-space (ss) model to interconnect with internal delays tau. |
tau |
Vector of internal delays of sys. For continuous-time models, express tau in seconds. For discrete-time models, express tau as integer values that represent multiples of the sampling time. |
A,B1,B2,C1,C2,D11,D12,D21,D22 |
Set of state-space matrices that, with the internal delay vector tau, explicitly describe the state-space model sys. |
sys |
State-space (ss) model with internal delays tau. |
getDelayModel | lft | ss
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