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ControlSystem

System Constructors

ModelingToolkit.ControlSystem — Type
struct ControlSystem <: ModelingToolkit.AbstractControlSystem

A system describing an optimal control problem. This contains a loss function and ordinary differential equations with control variables that describe the dynamics.

Fields

  • loss

    The Loss function

  • eqs

    The ODEs defining the system.

  • iv

    Independent variable.

  • states

    Dependent (state) variables. Must not contain the independent variable.

  • controls

    Control variables.

  • ps

    Parameter variables. Must not contain the independent variable.

  • observed

  • name

    Name: the name of the system. These are required to have unique names.

  • systems

    systems: The internal systems

  • defaults

    defaults: The default values to use when initial conditions and/or parameters are not supplied in ODEProblem.

Example

using ModelingToolkit

@variables t x(t) v(t) u(t)
D = Differential(t)

loss = (4-x)^2 + 2v^2 + u^2
eqs = [
    D(x) ~ v
    D(v) ~ u^3
]

sys = ControlSystem(loss,eqs,t,[x,v],[u],[])
source

Composition and Accessor Functions

  • get_eqs(sys) or equations(sys): The equations that define the system.
  • get_states(sys) or states(sys): The set of states in the system.
  • get_ps(sys) or parameters(sys): The parameters of the system.
  • get_controls(sys) or controls(sys): The control variables of the system

Transformations

ModelingToolkit.runge_kutta_discretize — Function
runge_kutta_discretize(sys::ControlSystem,dt,tspan;
                       tab = ModelingToolkit.constructRadauIIA5())

Transforms a nonlinear optimal control problem into a constrained OptimizationProblem according to a Runge-Kutta tableau that describes a collocation method. Requires a fixed dt over a given timespan. Defaults to using the 5th order RadauIIA tableau, and altnerative tableaus can be specified using the SciML tableau style.

source

Analyses