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Abstract
A networked control system is an enhanced version of a control system that works in tandem with two independent technologies, viz. communication and control. One of the major concerns in using wireless channels for measurement and control data transfer is packet drops. These packet drops can be correlated in time when considering a more realistic channel condition such as fading. The goal of this study is to develop a state estimation algorithm and optimal control strategy for networked control systems in the presence of correlated packet drops, determine bounds on estimation error covariance and validate the results through simulations using a specific mobile robot model.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The Matlab simulation data that support the findings of this study are available from the corresponding author, Ayyappadas Rajagopal, upon reasonable request.
Correction Statement
This article was originally published with errors, which have now been corrected in the online version. Please see Correction (http://doi.org/10.1080/00207721.2023.2278944)
Additional information
Funding
Notes on contributors
Ayyappadas Rajagopal
Ayyappadas Rajagopal is a PhD student in electrical engineering at the Indian Institute of Technology, Palakkad, India, where he is doing his research on the field of estimation and control in networked control systems under the supervision of Dr. Shaikshavali Chitraganti. He has received his Bachelor's degree in electronics and communication engineering and Master's degree in communication engineering from MG University, Kottayam, India. His research interests include estimation in unreliable networks, optimal control systems, advanced robotic system design and networked control systems. He has published a research article on self-thinking communication networks in an international conference during the time of his masters. Outside of his academic pursuits, he enjoys electronic system designs and reading about new technological advancements. He is excited to continue his research and contribute to the advancement of the field of electrical engineering.
Shaikshavali Chitraganti
Shaikshavali Chitraganti received his Master's degree from Indian Institute of Technology, Bombay, India, in 2009, and the Ph.D. degree from the University of Lorraine, Nancy, France, in 2014. He has worked as a postdoctoral fellow at Eindhoven University of Technology, Netherlands, in 2015. From 2016 to 2019, he was an assistant professor at Amrita University, India, and from 2017 to 2019 as an assistant professor at BITS Pilani Hyderabad Campus, India. Since 2019, he is with the Department of Electrical Engineering, Indian Institute of Technology, Palakkad, India. His research interests are networked control systems, optimal control, stochastic control and approximate dynamic programming.