Reinforcement learning-based control and networking co-design for industrial internet of things

H Xu, X Liu, W Yu, D Griffith… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Industrial Internet-of-Things (IIoT), also known as Industry 4.0, is the integration of Internet of
Things (IoT) technology into the industrial manufacturing system so that the connectivity …

Dynamic modelling and process control of iodine-sulfur thermochemical cycle for hydrogen production: a bibliometric study and research prospect

N Mohd, J Nandong, SR Abd Shukor, WY Ong… - … Methods in Engineering, 2024 - Springer
The iodine-sulfur (IS) thermochemical cycle process is one method for producing renewable
hydrogen fuel using water as a feedstock. To determine the research growth of the IS …

Observer-based resilient control of positive systems with heterogeneous DoS attacks: A Markov model approach

H He, Y Chen, W Qi, M Wang, X Chen - Journal of the Franklin Institute, 2022 - Elsevier
This paper investigates the problem of observer-based resilient control of positive systems
with heterogeneous DoS attacks. As the attack strategy becomes more and more intelligent …

Adaptive multi-model predictive control applied to continuous stirred tank reactor

HA Pipino, CA Cappelletti, EJ Adam - Computers & Chemical Engineering, 2021 - Elsevier
This paper investigates the design of a Model Predictive Control (MPC) formulation for the
case of polytopic multi-model system representation. An adaptive MPC is developed taking …

A supervisory control scheme for uncertain constrained time-delay discrete-time linear systems

HR Ahmadzadeh, S Aghaei, V Puig - Journal of the Franklin Institute, 2023 - Elsevier
In this paper, a two-layer supervisory control scheme is proposed for discrete-time linear
systems with state/input constraints, including multiple state time-delays, parametric …

A predictive control based on decentralized fuzzy inference for a pH neutralization process

H Wu, F Yan, G Wang, C Lv - Journal of Process Control, 2022 - Elsevier
In this paper a predictive control method based on decentralized fuzzy inference (DFIPC) is
proposed to deal with the problems of strong nonlinearity, large hysteresis and uncertainty in …

Reference governed ADRC approach to manage the handling-comfort contradiction in a full-vehicle suspension

A Muhammed, D Yazan… - Transactions of the …, 2022 - journals.sagepub.com
This paper aims to add to the discourse surrounding the development of a new approach to
managing the trade-off between the ride-comfort and road-handling experiences induced by …

Optimized inverse nonlinear function-based wiener model predictive control for nonlinear systems

I Aliskan - Arabian Journal for Science and Engineering, 2021 - Springer
In model predictive control applications, the static nonlinear function of the Wiener model is
an obstacle to forming a quadratic cost function. That case results in suboptimal control …

Adaptive model predictive control for Wiener nonlinear systems

I Aliskan - Iranian Journal of Science and Technology …, 2019 - Springer
Wiener model, which is one of the structures used in the modeling of nonlinear systems,
consists of the cascade connection as that a dynamic linear system is followed in series by a …

Model predictive control for steady-state performance in integrated continuous bioprocesses

M Pappenreiter, S Döbele, G Striedner… - Bioprocess and …, 2022 - Springer
Perfusion bioreactors are commonly used for the continuous production of monoclonal
antibodies (mAb). One potential benefit of continuous bioprocessing is the ability to operate …