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A Comparative Study on Intelligent Adaptive Control Techniques on a Nonlinear Inverted Pendulum Cart Mechanism

  • Akhil Krishnan
  • , U. Parvathy Krishna
  • , Mahipal Bukya
  • , Princy Randhawa
  • , Dimitris Piromalis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Over the decades, machines have evolved capabilities to make decisions on the basis of changing situations and environments. Many green technologies have come to light in fighting climate change and other. All these are due to the boom seen in intelligent and adaptive technologies. In this paper, efforts are made to study the various types of intelligent adaptive controllers that are being employed in controlling the non-linear inverted pendulum cart mechanism. The various characters attributed by this dynamical system enables a control engineer to assess the quality of control algorithms that are used to analyze the stability of this dynamic system. Here a contrast is made between various types of intelligent adaptive control techniques based on computational time, system parameters robustness. This system enables the control design for various types of controllers that are presently used in many real time applications such as aerospace vehicles, submarines, ships and many more.

Original languageEnglish
Title of host publication2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665417037
DOIs
Publication statusPublished - 2021
Event9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021 - Noida, India
Duration: 03-09-202104-09-2021

Publication series

Name2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

Conference

Conference9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
Country/TerritoryIndia
CityNoida
Period03-09-2104-09-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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