The simulated system is a "dumbbell" consisting of two balls connected by a weightless non-deformable rod; the upper ball can move freely along the X-axis

This example illustrates hybrid behavior and its representation as a behavior map or conditional equations.

This example demonstrates how to create complex models based on a simple model of a bouncing ball without taking into account air resistance and with an absolutely elastic impact using an object-oriented approach: a model of a bouncing ball with an inelastic impact and a model with air resistance taken into account

This is a "classic" example of a hybrid system, discussed in the manuals of all modeling tools that support hybrid models

This demo example contains descriptions of classes in the AnyDynamics input language that correspond to the standard components for modeling electrical circuits discussed in the Modelica language guide. The components are undirected.

This example demonstrates how to create a model (a rectifier circuit) of ready-made components contained in the imported "Electricity" package

This demo project uses simplified model of a nuclear power plant to demonstrate how experiments with a component model are carried out in the simulation environment, how 2D animation is utilised, and how the experiments are controlled by a "run plan".

This example shows how the "static component" of the circuit, assembled from ready-made components imported from the "Electricity" package, is supplemented with "dynamic" elements (resistor and inductance) using the discrete actions of the behavior map.

This demo project illustrates the ability of AnyDynamics to develop hybrid models and the use of matrix computations.

In this project, using a projectile motion model as an example, it is demonstrated how typical computational experiments are carried out in a modeling environment: obtaining a parametric dependence, determining the probability of an event, determining the mathematical expectation and standard deviation, analyzing global sensitivity and optimizing parameters.

In this project, using the example of a ball movement model, we demonstrate how a stochastic experiment is organized in the modeling environment using the functionality of the "Model" class.

This project demonstrates the behavior of a stochastic model for determining the value of pi using the Monte Carlo method.

This example demonstrates a supermarket cash service model.

This project demontstrates how to create queue system models with the AnyDynamics.

This demo project illustrates AnyDynamics' ability to develop and experiment with multi-agent models.

In this demo project, the ability to use 3DS-objects in 3D-animation is demonstrated.