Simulation and cyber physical systems

SIMULATION AND CYBER-PHYSICAL SYSTEMSSub Module -1: Introduction to solutions that integrate reality and simulation of reality with the so-called digital twins

Duration: 3 Hrs

Recipients: users with the need to know and make the best use of the potential and limits offered by simulation technologies, including the so-called digital twins.

Objectives: the module aims to introduce the user to the world of simulation, product, process, plant, service. During the module will be presented the concepts behind the digital twin, its functions, strengths and weaknesses. The role of simulation in general in the factory of the future will also be addressed. – simulation and cyber physical systems


  • Introduction to the module
  • What is a Digital Twin
  • How DT is integrated into the company business model
  • What benefits from the DT
  • What is the DT for
  • The DT in the factory of tomorrow
  • Final thoughts – simulation and cyber physical systems
  • Key points of this module

What exactly is a cyber-physical system?  In basic terms, a CPS is an engineered system or mechanism that is controlled or monitored by computer-based algorithms and tightly integrated with both the inter-net and its users. In cyber-physical systems, physical and software components are deeply intertwined, each operating on different spatial and temporal scales, exhibiting multiple and distinct behavioral modalities, and interacting with each other in a lot of ways that change with context.  Examples of CPS include smart grid, driver-assist and autonomous automobile systems, transportation systems, health and biomedical monitoring, manufacturing and process control systems, smart cities, robotics systems, intelligent edge devices, and new agricultural technologies.

To reason with cyber-physical systems, they need to be modeled first. Modeling can be done for a variety of purposes, including diagnosis, design, explanation, configuration and control. These models can be numerical, symbolic, qualitative, teleological or statistical (e.g., neural nets). For many applications, we use a hybrid approach (a synthesis of symbolic and statistical models).

CPS can operate in the presence of uncertainty.  These are often due to external circumstances not under system control. For CPS operating in the physical world, unplanned natural events like weather, natural disasters like hurricanes and earthquakes; human error or intentionally malicious human actions.  System failures such as faulty sensors and actuators and inaccurate or interrupted data streams could also create uncertainty.  The research community is constantly exploring new approaches for simulation and modeling to deal with uncertainty.  Common to many of these approaches is the use of probabilities which can predict the likelihood of certain events or occurrences. – simulation and cyber physical systems