IEEE Systems, Man and Cybernetics Magazine - January 2023 - 3

Kumar Ray, and Omkar Singh from
the National Institute of Technology
Sikkim, India, and Mo Jamshidi from
the University of Texas at San Antonio,
USA. The authors try to decrease
the complexity of the optimization
problem of a load frequency controller's
performance. They propose to
reduce the number of decision variables
to obtain the controller gains
in the optimization process. They
validate their method through experiments
with different objective functions,
considering the steady state,
the transient requirements, and different
variations in the input disturbances.
The results confirm that the
proposed method is effective.
Intelligent control is always a hot
topic in the industry. Four Japanese
engineers and researchers: Kazuya
Mitsugi (Tokyo Electric Power Company
Holdings), Ryo Chikaraishi
(Tokyo University of Agriculture and
Technology), Mingcong Deng (Kumamoto
University), and Yuichi Noge (Kyushu
University) provide the fourth
article, " A Design Based on Operator
Theory and Isomorphism. " Power
conversion devices have become increasingly
more efficient at facilitating
the electrification of vehicles and
saving energy. To evaluate and design
power conversion equipment, the authors
believe that they need to measure
the power loss of the equipment
with a high degree of accuracy. In this
article, the authors design a nonlinear
temperature control system that
adapts to changes in the heat capacity
of the measured object based on
operator theory and adaptive control
theory. As the adaptive control theory
requires the control system to satisfy
passivity, they provide a feedback
control system that guarantees passivity
based on isomorphism. Furthermore,
they use experiments to
confirm the effectiveness of the proposed
control system.
About the Author
Haibin Zhu (haibinz@nipissingu.ca)
is a full professor and the coordinator
of the Computer Science Program, the
founding director of the Collaborative
Systems Laboratory, and a member of
the Arts and Science Executive Committee,
Nipissing University, North
Bay, ON P1B 8L7, Canada.
by Jiehan Zhou , Haisheng Yu, Zhixiong Chen,
and Yongzhi Wang
T
he fourth industrial revolution
(Industry 4.0) is emerging
and being envisioned
with the application of smart devices
that can connect, communicate,
and compute (i.e., the 3Cs) along
the product/service chain ubiquitously.
These 3Cs are characterized
by real-time and large-scale connection;
massive integrated and heterogeneous
data communication; and
decentralized, crowd-sourced, and
proactive computation as well as
by data privacy and integrity protection
throughout the value chain.
Next-generation networks and security
are indispensable to the implementation
of these 3Cs to ensure
the effective and safe operation
and maintenance of Industry 4.0,
such as real-time network accesses
to workshop equipment, resource
supply chain optimization, federated
learning-based equipment fault
Digital Object Identifier 10.1109/MSMC.2022.3224355
Date of current version: 10 January 2023
Special Section on
Next-Generation
Networks for
Industry 4.0
Using Cutting-Edge Technologies to Connect,
Communicate, and Compute
diagnosis, trustworthy consumer
preference prediction, etc. Understanding
and addressing these
premises and realities of next-generation
networks and security are
crucial for the advancement of this
digital
industrial transformation.
Therefore, this special section is
dedicated to providing cutting-edge
technologies and novel studies.
Three articles have been accepted
by this special section.
In [A1], Hong et al. proposed a
real-time method for predicting wind
turbine security with the design of a
dynamics model of a wind turbine rotor
system. First, the authors made
a dynamic modeling for a wind turbine
rotor system and an analysis of
a relevant dataset required for security
prediction. Then, they trained
the convolutional neural network to
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January 2023 IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE
3
https://orcid.org/0000-0002-4026-1649
IEEE Systems, Man and Cybernetics Magazine - January 2023

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