A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter-Reference-Cited by-同舟云学术

A model-based tracking control scheme for nonlinear industrial processes involving joint unscented Kalman filter

Published:2023-05-31 Issue: Volume: Page:1-12
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Bhadra Sanjay¹²,Panda Atanu³,Bhowmick Parijat⁴,Kannan Somasundar⁵

Affiliation:

1. Department of Electrical Engineering, University of Engineering and Management Kolkata (UEMK), New Town, Kolkata, West Bengal, India

2. Department of Electrical Engineering, Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia, West Bengal, India

3. Department of Electronics and Communication Engineering, Institute of Engineering and Management (IEM), Kolkata, West Bengal, India

4. Department of Electronics and Electrical Engineering, IIT Guwahati, Guwahati, Assam, India

5. Department of Electrical Engineering, Robert Gordon University, Aberdeen, Scotland, UK

Funder

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Signal Processing,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2023.2202183

Reference31 articles.

1. Design and application of nonlinear model‐based tracking control schemes employing DEKF estimation

2. Unscented Kalman filter for continuous‐time nonlinear fractional‐order systems with process and measurement noises

3. Model predictive control: Theory and practice—A survey

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