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 …

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 …

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 …

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 …

An Improved Method of Model-Free Adaptive Predictive Control: A Case of pH Neutralization in WWTP

J Li, Z Tang, H Luan, Z Liu, B Xu, Z Wang, W He - Processes, 2023 - mdpi.com
pH neutralization reaction process plays a crucial role in Waste Water Treatment Process
(WWTP). Traditional PID Proportion Integral Differential,(or even advanced PID 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 …

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 …

Predictive controller applied to a pH neutralization process

L Estofanero, R Edwin, G Claudio - IFAC-PapersOnLine, 2019 - Elsevier
This paper reports the experimental results of a predictive controller applied to a pH
neutralization plant. A pretest was used to get an approximate transfer function (first order …