- If linsys is an array of state-space models, then Offsets is a structure array with
 the same dimensions as linsys.
Each offset structure has the following fields:Field Description
x State offsets used for linearization, returned as a column vector of length nx,
where nx is the number of states in linsys.
y Output offsets used for linearization, returned as a column vector of length
ny, where ny is the number of outputs in linsys.
u Input offsets used for linearization, returned as a column vector of length nu,
where nu is the number of inputs in linsys.
dx Derivative offsets for continuous time systems or updated state values for
discrete-time systems, returned as a column vector of length nx.
StateNam
eState names, returned as a cell array that contains nx elements that match
the names in linsys.StateName.
InputNam
eInput names, returned as a cell array that contains nu elements that match
the names in linsys.InputName.
OutputNa
meOutput names, returned as a cell array that contains ny elements that match
the names in linsys.OutputName.
Ts Sample time of the linearized system, returned as a scalar that matches the
sample time in linsys.Ts. For continuous-time systems, Ts is 0.If Offsets is a structure array, you can configure an LPV System block using the offsets.
To do so, first convert them to the required format using getOffsetsForLPV. For an
example, see “Approximating Nonlinear Behavior Using an Array of LTI Systems” on page
3-103.Advisor — Linearization diagnostic information
[] (default) | LinearizationAdvisor object | array of LinearizationAdvisor
objectsLinearization diagnostic information, returned as [] if s.Options.StoreAdvisor is
false. Otherwise, Advisor is returned as one of the following:- If linsys is a single state-space model, Advisor is a LinearizationAdvisor
 object.
15 Alphabetical List
