API
Criteria
DynamicOED.ACriterion
— Typestruct ACriterion <: DynamicOED.AbstractInformationCriterion
The A-Criterion for experimental design.
tr(inv(F))
DynamicOED.DCriterion
— Typestruct DCriterion <: DynamicOED.AbstractInformationCriterion
The D-Criterion for experimental design.
det(inv(F))
DynamicOED.ECriterion
— Typestruct ECriterion <: DynamicOED.AbstractInformationCriterion
The E-Criterion for experimental design.
max(eigvals(F))
DynamicOED.FisherACriterion
— Typestruct FisherACriterion <: DynamicOED.AbstractInformationCriterion
The Fisher A-Criterion for experimental design.
-tr(F)
DynamicOED.FisherDCriterion
— Typestruct FisherDCriterion <: DynamicOED.AbstractInformationCriterion
The Fisher D-Criterion for experimental design.
-det(F)
DynamicOED.FisherECriterion
— Typestruct FisherECriterion <: DynamicOED.AbstractInformationCriterion
The Fisher E-Criterion for experimental design.
-min(eigvals(F))
Problem
DynamicOED.OEDProblem
— Typestruct OEDProblem{S, O, T, A, DO}
The basic definition of an optimal experimental design problem.
Fields
system
: The optimal experimental design system in form of an ODESystemobjective
: The objective criteriontimegrid
: The time gridalg
: Solver for the differential equationsdiffeq_options
: Differential equations options
DynamicOED.Timegrid
— Typestruct Timegrid{V, I, G, T}
A structure for holding a multi-variable time grid.
Fields
variables
: The variablesindicators
: The indicator for switching variablestimegrids
: The individual time gridstimespans
: The overall time grid
Symbolic Differentiation Backends
DynamicOED.MTKBackend
— Typestruct MTKBackend <: DynamicOED.AbstractAugmentationBackened
Uses ModelingToolkit
as a backened to augment the system.
ModelingToolkit Extensions
DynamicOED.VariableRate
— Typestruct VariableRate
Indicator that a given state is subject to a fixed rate. Is used for modeling the rate of observation of observed variables and the rate of control for control variables. If the provided rate is a Real
, it is assumed that the resulting time grid is given in fractions of the time unit. If the provided rate is a Int
, it is assumed that the resulting time grid is divided in rate
equidistant intervals.
@variables y(t) [measurement_rate=0.1] # Create a variable measured every 0.1 t
@variables y(t) [measurement_rate=0.1] # Create a variable measured every 0.1 t
@parameters c [input=true, measurement_rate=2] # Create a control variable which acts 2 times over the course of the simulation
DynamicOED.FisherState
— Typestruct FisherState
Indicator that a given variable is a state of the fisher information matrix.
@variables F[1:3, 1:3] [fisher_state=true]
DynamicOED.MeasurementFunction
— Typestruct MeasurementFunction
Indicator that a given variable is a measurement function.
@variables w=1.0 [measurement_function=true]
DynamicOED.VariableIC
— Typestruct VariableIC
Indicator that a given state variable's initial condition is unknown.
@variables x(t)=1.0 [variable_ic=true]