Article
Automation & Control Systems
Mohammadreza Rostam, Ryozo Nagamune, Vladimir Grebenyuk
Summary: This paper introduces a novel Gaussian process approach to enhance the performance of a robust economic model predictive controller for systems with unknown disturbances with quasi-periodic patterns. A self-tuning kernel is proposed to accurately predict forthcoming disturbances while demanding a shorter training horizon. The proposed method is applied to a domestic solar thermal system, showing reliable and precise prediction of future demand and significant energy saving compared to other controllers.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Engineering, Chemical
Samuel Arce Munoz, Junho Park, Cristina M. Stewart, Adam M. Martin, John D. Hedengren
Summary: Transfer learning is a machine learning technique that adapts a pre-trained model for use on a new, related task. It is particularly useful in model predictive control (MPC) where deep transfer learning is used to improve training by leveraging knowledge from related controllers. The paper includes a case study that demonstrates the use of neural networks and transfer learning to create a MIMO approximate MPC, with less data required for training compared to traditional methods. The main contributions of the paper are a survey of approximate MPC formulations and a discussion of future development in transfer learning.
Article
Automation & Control Systems
Antonio Sala, Leopoldo Armesto
Summary: This study introduces a new criterion for adaptive meshing in polyhedral partitions to interpolate value functions, employing an initial condition probability density function, uncertainty propagation, and temporal-difference error to determine the addition of new points. A collection of lemmas justifies the algorithmic proposal, with comparative analysis highlighting the advantages of this proposal over other options in literature. The developed methods are applied in simulation examples and an experimental robotic setup.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Mathematics
Anton A. Romanov, Aleksey A. Filippov, Nadezhda G. Yarushkina
Summary: This article explores an approach to controlling complex organizational and technical systems using hybrid models. It introduces a new component of intelligent decision support that is integrated with control systems, based on fuzzy logic and knowledge engineering. The article presents a ontological model for data analysis and time series modeling, allowing representation of indicator trends. The proposed approach reduces analysis and interpretation time, and experimental results verify its correctness and effectiveness.
Article
Automation & Control Systems
Oscar Briones, Ruben Alarcon, Alejandro J. Rojas, Daniel Sbarbaro
Summary: The proposed Generalized Predictive PI (GPPI) controller provides greater design flexibility and better performance compared to traditional PID and PPI controllers, with experimental results demonstrating significant improvements under real conditions.
Article
Automation & Control Systems
Kunwu Zhang, Changxin Liu, Yang Shi
Summary: This paper proposes a self-triggered adaptive model predictive control method for constrained discrete-time nonlinear systems with parametric uncertainties and additive disturbances. A real-time zonotope-based set-membership parameter estimator is developed to refine the uncertainty estimation. The proposed method reduces the sampling frequency while preserving closed-loop performance.
Article
Psychology, Applied
Cornelia Niessen, Jonas W. B. Lang
Summary: This article examines the role of control strategies in task adaptation through two experimental studies using an air traffic control simulation task. The results show that the directed forgetting and learning control groups performed better in the simulation after the change, while the remembering group did not. Different cognitive strategies have different costs and benefits, as reflected in participants' performance and memory test results.
JOURNAL OF APPLIED PSYCHOLOGY
(2021)
Article
Energy & Fuels
Shiyu Yang, Man Pun Wan, Wanyu Chen, Bing Feng Ng, Swapnil Dubey
Summary: This study proposes an approximate MPC method that mimics the dynamic behaviors of MPC using recurrent neural networks, with implementation in two testbeds showing similar control performance to MPC and significantly reduced computational load.
Article
Chemistry, Analytical
Cezary Graczykowski, Rami Faraj, Joao Miguel da Costa Sousa
Summary: The paper introduces the concept of equivalent parameter predictive control (EPPC) for semi-active fluid-based shock absorbers. It proposes a control strategy that combines model predictive control with the identification of equivalent system parameters to solve the problem of unknown conditions, showing robustness and efficiency.
Article
Engineering, Chemical
John Anthony Rossiter, Muhammad Saleheen Aftab
Summary: Predictive functional control (PFC) is a popular alternative to PID, utilizing model information better and handling constraints systematically with low cost and high computational efficiency. This paper extends previous research by introducing innovative tuning proposals to make it easier for operators.
Review
Engineering, Chemical
John Anthony Rossiter, Muhammad Saleheen Aftab
Summary: Predictive functional control (PFC) is a fast and effective controller widely used for single-input single-output processes instead of PID, with core advantages in simplicity and low cost but weaknesses in tuning efficacy. The past decade has seen focus on proposing more effective tuning approaches while retaining simplicity and low cost attributes.
Article
Automation & Control Systems
Fengxiang Wang, Long He, Jinsong Kang, Ralph Kennel, Jose Rodriguez
Summary: This article proposes an adaptive model predictive current control (AM-MPCC) method for enhancing the robustness of surface-mounted permanent magnet linear synchronous motor systems. An adaptive predictive model is introduced, along with a disturbance term and an optimized current change rate coefficient. A discrete-time sliding mode disturbance observer is devised to achieve the disturbance term. Experimental results confirm the excellent robustness performances of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Analytical
Yuxi Li, Gang Hao
Summary: This paper proposes an improved modified model predictive control algorithm by combining the Sage-Husa adaptive Kalman filter (SHAKF), the cubature Kalman filter (CKF), and the back-propagation neural network (BPNN) to mitigate the negative impacts of system noise on energy-optimal adaptive cruise control (EACC) and achieve further energy reduction.
Article
Automation & Control Systems
Na Lin, Ronghu Chi, Yang Liu, Zhongsheng Hou, Biao Huang
Summary: In this article, a data-driven set-point tuning (DDST) approach is proposed to enhance the control performance of model-free adaptive control (MFAC). The proposed approach uses a dynamic linearization (DL) technique to realize an ideal nonlinear set-point tuning (NST) law and estimates unknown parameters in a linear data model (LDM) using a projection algorithm. Simulation results validate the theoretical findings.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
Rongrong Gu, Xudong Sun, Dongyi Pu
Summary: This paper proposes a self-tuning distributed observer and an adaptive sliding-mode controller for second-order multi-agent systems. These methods can solve the cooperative tracking problem between leader and followers and adaptively estimate unknown disturbances and actuator faults.
Article
Energy & Fuels
Mohamed A. Gomaa, Nicolas Gombocz, Dominik Schild, Farouq S. Mjalli, Ahmed Al-Harrasi, Raeid M. M. Abed
Summary: Production of biodiesel from primary sewage sludge under optimized conditions reduces the impact of the feedstock on the environment, decreases overall costs and produces fuel with acceptable properties.
Article
Engineering, Chemical
Gabriel Khew Mun Hong, Mohd Azlan Hussain, Ahmad Khairi Abdul Wahab
Summary: This work introduces the implementation of fuzzy logic control (FLC) in a microbial electrolysis cell (MEC) system, showcasing its superior performance over traditional PID controllers in terms of efficiency and stability in hydrogen production.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2021)
Article
Food Science & Technology
Nidhi Rajesh Mavani, Jarinah Mohd Ali, Suhaili Othman, M. A. Hussain, Haslaniza Hashim, Norliza Abd Rahman
Summary: Artificial intelligence has become the latest technology in the food industry due to the increasing food demands worldwide. Its capabilities in tasks such as food quality determination and prediction have driven up demand in the industry. Integration with other devices like electronic nose and NIR will benefit industry players and consumers.
FOOD ENGINEERING REVIEWS
(2022)
Article
Engineering, Environmental
Saffa Syamimi Norizam, Mohd Azlan Hussain, Mohd Usman Mohd Junaidi
Summary: The study demonstrates that the performance of the ULPRO membrane depends on charge, steric, and dielectric effects, and the enhanced model shows good accuracy in salt rejection and water recovery results when validated with experimental data. Comparing it with the existing solution diffusion model, the enhanced model predicts membrane performance better, making it a reliable model for brackish water desalination using ULPRO membrane.
WATER SCIENCE AND TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Amira Sulaiman Rashed AlGharibi, Farouk Sabri Mjalli, Belal Abu Tarboush, Badar Alnairi, Mohammed AbdulHakim Al Saadi
Summary: This study investigated the metal-free synthesis strategy for carbon nanotubes (CNTs) and found that using activated carbon (AC) as a supporting substrate and NaCl as a catalyst can efficiently synthesize CNTs. The different AC-NaCl ratios had an impact on CNT growth, with the AC-NaCl 1:2 ratio showing the highest yield. AC and NaCl, as substrate and catalyst combinations, have the advantages of being cost-effective and environmentally friendly.
APPLIED NANOSCIENCE
(2022)
Article
Automation & Control Systems
N. H. Hoang, T. S. Nguyen, T. T. H. Phan, T. K. P. Le, M. A. Hussain, D. Dochain
Summary: In this note, an enhanced trajectory tracking approach is developed for the control of nonlinear systems when feedback passivation design is impossible. By combining the system dynamics with extended quadratic port-Hamiltonian models, without input and state coordinate transformations, further study on control benefits can be conducted. Sufficient conditions for the convergence of the system trajectory to the reference one are shown, and a Proportional-Integral action can be added for improved closed-loop performance and robustness.
SYSTEMS & CONTROL LETTERS
(2022)
Article
Engineering, Environmental
Aliah Hashim, N. Awanis Hashim, Mohd Usman Mohd Junaidi, Diyana Kamarudin, Mohd Azlan Hussain
Summary: The study demonstrated the potential of xylem tissue from cassava stems, a tropical plant in Malaysia, as a filter for water filtration, making it suitable for use as a water filter during emergencies.
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Energy & Fuels
Farah Ramadhani, Mohd Azlan Hussain, Hazlie Mokhlis, Oon Erixno
Summary: This study focuses on designing an optimum polygeneration system for residential homes using solid oxide fuel cells as the prime mover. Optimization of system components is conducted through multi-objective and multi-criteria combined with decision-making. Based on the results, the combination of genetic algorithm and analytic hierarchy process gets the best non-dominated solution, with higher primary energy-saving, CS, and carbon dioxide reduction compared to the unoptimized systems.
Review
Engineering, Chemical
Farah Ramadhani, M. A. Hussain, Hazlie Mokhlis, Oon Erixno
Summary: This study elaborates on the energy planning and guidelines for designing a polygeneration system, especially for residential applications, aiming to solve the system's complexity.
Article
Computer Science, Interdisciplinary Applications
T. Sang Nguyen, N. Ha Hoang, C. K. Tan, M. A. Hussain, D. Bonvin
Summary: This work presents a control strategy for regulating homogeneous reaction systems in reactors with cooling jackets. The system is represented in terms of vessel extents and considered as a single-input, two-output plant. The proposed strategy achieves trajectory tracking and zero-error tracking between the reactor and jacket temperatures and their time-varying references. By using the heat-transfer equation, the reactor temperature reference is set and the inlet coolant temperature is adjusted to stabilize the reactor at the desired equilibrium point. The approach is demonstrated on a free-radical polymerization reaction system with steady-state multiplicity.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Chanin Panjapornpon, Santi Bardeeniz, Mohamed Azlan Hussain
Summary: This study proposes a combined framework for fault detection identification and energy efficiency prediction based on deep learning approach, aiming to improve the reliability of measurements and establish an effective energy efficiency monitoring tool in the petrochemical industry.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Review
Agriculture, Multidisciplinary
Suhaili Othman, Nidhi Rajesh Mavani, M. A. Hussain, Norliza Abd Rahman, Jarinah Mohd Ali
Summary: Artificial Intelligence (AI) techniques combined with detecting devices have become practical and effective tools in detecting food adulteration and agricultural product defects. The integration of AI techniques and sensing devices has shown promising outcomes with accuracy ranging from 81.2% to 100%. Future developments in sensors and algorithms, as well as real-time monitoring and predictive modeling, are anticipated in the field of food and agriculture quality assessment.
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
(2023)
Correction
Engineering, Environmental
Aliah Hashim, N. Awanis Hashim, Mohd Usman Mohd Junaidi, Diyana Kamarudin, Mohd Azlan Hussain
WATER SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Chemical
Chee Keong Tan, Chuan Wei Chai, Mohd Azlan Hussain
Summary: The study developed a model to predict fluoride concentration in treated water using real plant data and designed a successful control strategy that prevented over fluoridation in water treatment. The validated model, suitable for future online implementation, can be applied to model-based control approaches in future studies.
ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING
(2021)
Article
Engineering, Environmental
Aliah Hashim, N. Awanis Hashim, Mohd Usman Mohd Junaidi, Diyana Kamarudin, Mohd Azlan Hussain
Summary: The study demonstrates the potential of cassava plant xylem tissue as an emergency water filter, showing that by using xylem tissue for filtration, it can effectively remove dye and bacteria.
WATER SCIENCE AND TECHNOLOGY
(2022)