We organize the models by the type of nonlinearities (if there are some), and whether they are purely continuous or present discrete transitions, i.e. hybrid systems. We have added a column with the associated scientific domain, and another column with the number of state variables. Roughly speaking, a higher number of state variables usually corresponds to problems which are harder to solve, although strictly speaking, this usually depends on the property to be verified.
Column P.V.
refers to the cases where the example is presented with at lest one instance with parameter variation.
In addition to those present in this manual, a larger collection of examples can be found in the models library ReachabilityModels.jl. For further instructions see the section Model library.
Name | Area | State dim. |
---|
Damped oscillator | Physics | 2 |
Building | Mechanical Engineering | 48 |
Transmission line circuit | Power Systems Stability | 4 to 40 |
International Space Station | Aerospace Engineering | 270 |
Modified Nodal Analysis 1 | Electronics | 1002 |
Modified Nodal Analysis 2 | Electronics | 10913 |
Heat PDE | Physics | 125 to 125000 |
Name | Area | State dim. |
---|
Amplifier circuit | Electronic Engineering | 2 |
Electromechanic break | Electronic Engineering | |
Gearbox | Mechanical Engineering | |
Platoon | Autonomous Driving | |
Powertrain | Mechanical Engineering | |
Name | Area | State dim. |
---|
Brusselator | | |
Laub-Loomis | Molecular Biology | 7 |
Lorenz system | | |
Lotka-Volterra | | |
Production-Destruction | Electrical engineering | |
Quadrotor | | |
SEIR Model | | |
Van der Pol | | |
Name | Area | State dim. |
---|
Spacecraft | | |
Lotka-Volterra w/crossing | Biology, Nonlinear physics | |