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\quad \dot{x_0}(t) & = & x_1(t) \cdot u(t) + \alpha \cdot u(t)^2,\\
\quad \dot{x_0}(t) & = & x_1(t) \cdot u(t) + \alpha \cdot u(t)^2,\\
\quad \dot{x_1}(t) & = & -c \cdot x_1(t) + u(t), \\
\quad \dot{x_1}(t) & = & -c \cdot x_1(t) + u(t), \\
\quad x(0) &=& x_0, \\
\quad x_0(0) &=& x_0, \\
\quad y(0) &=& 0, \\
\quad x_1(0) &=& 0, \\
\quad x(t_f) &=& x_f, \\
\quad x_0(t_f) &=& x_f, \\
\quad t_f & \geq & 0, \\
\quad t_f & \geq & 0, \\
\quad u(t) & \in & [-1, 1] \ \quad \forall t \in [0,t_f]
\quad u(t) & \in & [-1, 1] \ \quad \forall t \in [0,t_f]
Line 48: Line 48:
Here is one local solution to the above control problem.
Here is one local solution to the above control problem.


<gallery caption="Reference solution plots" widths="180px" heights="140px" perrow="1">
<gallery caption="Reference solution plots" widths="500px" heights="300px" perrow="1">
  Image:Dielectrophoretic_Particle.png| States and discretized control for a local optimum. The control <math>t_f</math> represents the scaling of the time interval, where the base time interval is [0,5].
  Image:Dielectrophoretic_Particle.png| States and discretized control for a local optimum. The control <math>t_f</math> represents the scaling of the time interval, where the base time interval is [0,5].
</gallery>
</gallery>

Latest revision as of 10:44, 28 November 2025

Dielectrophoretic Particle
State dimension: 1
Differential states: 2
Discrete control functions: 2


The Dielectrophoretic Particle problem is a classical time-optimal control benchmark for microfluidic particle manipulation. This description is taken from [1].

It models the motion of a particle under a dielectrophoretic force, where the control voltage applied to electrodes directly influences the particle trajectory. Both the particle position and an auxiliary state related to its dipole moment, as well as the control voltage, are decision variables. The objective is to transfer the particle from an initial position to a target position in minimal time, while satisfying bounds on the control input and maintaining the auxiliary state dynamics.

Mathematical formulation

mintf,utfsubject tox0˙(t)=x1(t)u(t)+αu(t)2,x1˙(t)=cx1(t)+u(t),x0(0)=x0,x1(0)=0,x0(tf)=xf,tf0,u(t)[1,1] t[0,tf]

Parameters

These fixed values are used within the model:

Symbol Value Description
x0 1 Initial particle position
xf 2 Final particle position
α -0.75 Nonlinear coefficient
c 1 Damping coefficient

Reference Solutions

Here is one local solution to the above control problem.

Miscellaneous and Further Reading

This formulation and a detailed description can be found in [1].

References

[1] Caillau, J.-B., Cots, O., Gergaud, J., & Martinon, P. OptimalControlProblems.jl: a collection of optimal control problems with ODE's in Julia. https://github.com/control-toolbox/OptimalControlProblems.jl/blob/main/ext/Descriptions/dielectrophoretic_particle.md