6Digital Twin Application on System Identification and Control

Rakesh Kumar Pattanaik and Mihir Narayan Mohanty*

Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

Abstract

Digital twin technology is a virtual representation of a real world along its function ability. It is the building block for different industries for system identification and control under the Industry 4.0 paradigm. System identification is the initial step in model-based control design which uses observed input–output data to develop mathematical models of the given dynamic systems. Once the dynamic system model’s parameters have been determined, an appropriate control model should be developed for the nonlinear plant. An advanced virtual representation of physical object or process is modeled and presented in this work. The model has the ability to learn and adapt according to the real environment data. Furthermore, it can validate and simulate the current and future behavior of the actual process. In most of the plant works on real-time data, a virtual process control system must be designed. The model shall be used in the application of prediction, monitoring, and controlling of nonlinear plant. Digital twin is a relatively new form of technology, and its application is becoming increasingly prevalent in a variety of fields, including manufacturing, automobiles, medicine, smart cities, and other areas. This study aims to provide a comprehensive view of digital twin technology, ...

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