Article
Automation & Control Systems
Humberto Morales, Fernando di Sciascio, Estefania Aguirre-Zapata, Adriana N. Amicarelli
Summary: This study focuses on obtaining real-time information about supersaturation in the final stage of sugar crystallization. By designing a model-based soft-sensor and using two models, the proposed estimator can estimate the supersaturation value. The performance and behavior of the estimator are validated using real industrial data, demonstrating low bias and variance.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Chemistry, Multidisciplinary
Yi-Shan Guo, Zhan-Dong Yang, Jun-Sheng Huang, Jun-Yong Gao, Xiu-Ping Chen, Hao Cheng, Ping-Jun Zhang, Hui-Hui Su
Summary: This study developed a new strategy to efficiently produce high-purity isomaltulose from low-cost cane and beet molasses. By redirecting metabolic flux and fine-tuning enzyme activity, the engineered strain IS7 achieved a high yield of isomaltulose with a purity of 98%. This research provides a solid foundation for the industrial-scale bioproduction of isomaltulose and validates the concept of sustainable conversion of agricultural residues.
Article
Plant Sciences
Cintia Pereyra, Rodrigo Parola, Ana Paula Lando, Marianela Rodriguez, Giselle Maria Astrid Martinez-Noel
Summary: Sugars are both energy sources and central molecular signals that regulate growth, development, and response to environmental stresses. Different types and concentrations of sugars have different effects on TOR signaling, with sucrose, glucose, and to a lesser extent fructose inducing root apical meristem reactivation and TOR activity. High concentration of glucose does not induce RAM or kinase activity, while sucrose-induced TOR activity requires auxin signaling.
JOURNAL OF PLANT GROWTH REGULATION
(2023)
Article
Plant Sciences
Tengfei Liu, Md Abu Kawochar, Shahnewaz Begum, Enshuang Wang, Tingting Zhou, Shenglin Jing, Tiantian Liu, Liu Yu, Bihua Nie, Botao Song
Summary: Cold-induced sweetening is a severe issue in the potato processing industry. This study identifies StTST1 as the sugar transporter with the highest expression in potato tubers during postharvest cold storage. Knockdown of StTST1 reduces sugar accumulation and improves the frying quality of cold-stored tubers. Suppression of StTST1 promotes starch synthesis and inhibits starch degradation, possibly through the down-regulation of beta-amylase StBAM1. These findings provide a new strategy to improve the quality of cold-stored potatoes and reduce acrylamide content in potato chips.
HORTICULTURE RESEARCH
(2023)
Article
Chemistry, Applied
Selvyn Simoes, Enea Lelaj, Derick Rousseau
Summary: Sugar accelerates cocoa butter solidification while limiting the effects of emulsifiers. PGPR and CITREM promoted the formation of form V crystals, while lecithin and AP had minimal impact.
Article
Food Science & Technology
Hassan Zaki Dizaji, Abdullah Adibzadeh, Nahid Aghili Nategh
Summary: By conducting chemical tests and electronic nose tests on sugarcane syrup, it was found that the artificial neural network model performed excellently in predicting sugarcane quality indices, with high correlation coefficients and relatively low RMSE values.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2021)
Article
Biochemistry & Molecular Biology
Huachun Sheng, Shuangxi Zhang, Yanping Wei, Shaolin Chen
Summary: The research showed that low concentrations of sugars could enhance plant growth in the dark conditions, depending on BR hormone biosynthesis and TOR activation.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Jian Chen, Jiahao Yin, Xiaoshuai An, Liang Chen, Ling Zhu, Kwai Hei Li
Summary: A novel GaN-based microchip for sugar concentration detection is reported. The microchip, fabricated on a GaN-on-sapphire chip, allows for optical coupling without external optics. It exhibits real-time monitoring and detection capabilities for honey adulteration, with a small footprint, high compactness, low cost, and ease of operation, making it suitable for practical applications.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Nailea Mar-Abundis, Yadira Aracely Fuentes-Rubio, Rene Fernando Dominguez-Cruz, Jose Rafael Guzman-Sepulveda
Summary: We present a fiber optics sensor based on multimodal interference effects for the detection of sweeteners in water. The sensor, composed of a coreless multimode fiber spliced between two single-mode fibers, exhibits a linear response and high sensitivity to glucose, fructose, and sucrose concentrations. The device also shows some discrimination between sugars based on their thermo-optical response.
Article
Automation & Control Systems
Hao Wu, Yongming Han, Qunxiong Zhu, Zhiqiang Geng
Summary: A novel feature-disentangled AE (FDAE) integrating Resnet is proposed to improve the low robustness and weak generalization of existing deep AE for soft sensor modeling. The FDAE can obtain disentangled multisource features through a trend-periodic LSTM and a dynamic self-attention CNN, and the Resnet is used to establish the relationship between these features and outputs. Experimental results demonstrate that the FDAE-Resnet outperforms other state-of-the-art methods in melt index modeling, reducing the root mean square error by 26.2% and the mean absolute percentage error by 38.2% on average in changed working conditions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Yan-Lin He, Shao-Hua Lv, Qun-Xiong Zhu, Shan Lu
Summary: The article discusses the challenges posed by high dimensionality, time sequence coupling, and strong nonlinearity in industrial data, which have been caused by rapid advances in industrial technology. To address these challenges, the article proposes a novel approach called multiattribute space-based LSTM (MAS-LSTM), which divides the input attribute space into different categories using the K-shape clustering algorithm. By handling each attribute category with an individual LSTM network and combining the processing outcomes, the prediction accuracy of MAS-LSTM is significantly improved.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Materials Science, Ceramics
Erhan Kilinc, Anthony M. T. Bell, Paul A. Bingham
Summary: In this study, the in situ dynamic crystallization properties of industrial soda-lime-silica glasses at realistic processing temperatures were investigated. Unique crystalline phases were observed at lower temperatures, and high-temperature stable SiO2 polymorphs were also observed. The main predictor variables in the previously developed liquidus temperature models were found to be questionable, and a large difference between glass processing and liquidus temperatures was identified.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2023)
Article
Engineering, Environmental
Hemlata Chhabra, Naveen G. Jesubalan, Anurag S. Rathore
Summary: This study presents a novel soft sensor method using Fourier transform infrared spectroscopy (FTIR) for measuring ClO2 concentration in different water samples. The developed model outperformed other models and demonstrated good reproducibility and precision. This soft sensor-based method offers significant advantages in terms of simplicity and speedy detection.
Article
Engineering, Electrical & Electronic
Qi Lei, Huiru Wang
Summary: A co-training-based semisupervised soft sensor model is proposed to address noise removal and labeled sample acquisition in an industrial process.
IEEE SENSORS JOURNAL
(2022)
Article
Plant Sciences
Karla Chavez Mendoza, Cecilia Beatriz Pena-Valdivia, Martha Hernandez Rodriguez, Monserrat Vazquez Sanchez, Norma Cecilia Morales Elias, Jose Cruz Jimenez Galindo, Antonio Garcia Esteva, Daniel Padilla Chacon
Summary: Water restriction affects sugar metabolism in bean pod walls, leading to a decrease in fructose concentration. Small pods exhibit higher cell wall invertase activity compared to large pods, with differences in transcript levels. These findings are important for addressing sink strength in bean pods under water restriction.
Article
Automation & Control Systems
Subhashis Nandy
Summary: This research focuses on the design and stability analysis of nonlinear controllers for an electrically driven marine cycloidal propeller, along with estimating various parameters using the Extended Kalman Filter. The controller is defined using an efficient physics-based model and is able to accurately process multiple control signals. The robustness of the controller is assessed using Monte Carlo simulation, and its performance is evaluated through validation investigations.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Lucas C. Borin, Guilherme Hollweg, Caio R. D. Osorio, Fernanda M. Carnielutti, Ricardo C. L. F. Oliveira, Vinicius F. Montagner
Summary: This work presents a new automated test-driven design procedure for robust and optimized current controllers applied to LCL-filtered grid-tied inverters. The design of control gains is guided by high-fidelity simulations and particle swarm optimization algorithm, considering various normal and abnormal operating conditions. The proposed design ensures superior performance compared with other current control designs.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Wei He, Xiang Wang, Mohammad Masoud Namazi, Wangping Zhou, Josep M. Guerrero
Summary: The main objective of this paper is to develop a reduced-order adaptive state observer for a large class of DC-DC converters with constant power load, in order to estimate their unavailable states and unknown parameter and achieve an output feedback control scheme. The observer is designed using a generalized parameter estimation based observer technique and dynamic regressor extension and mixing method. The comparison study shows that the observer has the advantage of verifying the observability of the systems for exponential convergence without any extra excitation condition.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Te Zhang, Bo Zhu, Lei Zhang, Qingrui Zhang, Tianjiang Hu
Summary: This paper introduces a control technique called time-varying uncertainty and disturbance estimator (TV-UDE) which extends the classic UDE approach to handle more complicated issues. By combining TV-UDE with a nominal dynamic output-feedback controller, robust control for uncertain second-order attitude control systems without velocity measurements is achieved. Numerical simulations and physical experiments on a 2-DOF AERO attitude helicopter platform demonstrate the effectiveness of the proposed design in reducing steady-state errors and avoiding issues caused by high-gain estimation.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Kanishke Gamagedara, Taeyoung Lee, Murray Snyder
Summary: This paper presents the developments of flight hardware and software for a multirotor unmanned aerial vehicle capable of autonomously taking off and landing on a moving vessel in ocean environments. The flight hardware consists of a general-purpose computing module connected to a low-cost inertial measurement unit, real-time kinematics GPS, motor speed controller, and a camera through a custom-made printed circuit board. The flight software is developed in C++ with multi-threading to execute control, estimation, and communication tasks simultaneously. The proposed flight system is verified through autonomous flight experiments on a research vessel in Chesapeake Bay, utilizing real-time kinematics GPS for relative positioning and vision-based autonomous flight for shipboard launch and landing.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Yun Zhu, Kangkang Zhang, Yucai Zhu, Pengfei Jiang, Jinming Zhou
Summary: In this study, a three-term Dynamic Matrix Control (DMC) algorithm using quadratic programming is developed and compared with the traditional two-term DMC algorithm. Simulation studies and real-life tests show that the three-term DMC algorithm outperforms the two-term DMC algorithm in control effectiveness.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Jayu Kim, Taehoon Lee, Cheol-Joong Kim, Kyongsu Yi
Summary: This paper presents a data-based model predictive control method for a semi-active suspension system. The method utilizes a continuous damping controller and a stiffness controller to improve ride comfort and reduce vehicle pitch motion. Gaussian process regression is also used to compensate for model parameter uncertainties. The algorithm has been verified through computer simulations and vehicle tests, demonstrating its effectiveness and robustness.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Kunpeng Zhang, Jikang Gao, Zongqi Xu, Hui Yang, Ming Jiang, Rui Liu
Summary: A improved dynamic programming model is proposed in this paper for joint operation optimization of virtual coupling of heavy-haul trains. By simultaneously optimizing the headway and energy savings, as well as performing locomotive engineering advisory analysis, significant improvements in train performance can be achieved.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Demian Garcia-Violini, Yerai Pena-Sanchez, Nicolas Faedo, Fernando Bianchi, John V. Ringwood
Summary: This study presents a model invalidation methodology for wave energy converters (WECs) that can effectively handle dynamic uncertainty and external noise. The results indicate that neglecting dynamic uncertainty can lead to overestimation of performance, highlighting the importance of accurate dynamic description for estimating control performance.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Shengyang Lu, Yue Jiang, Xiaojun Xu, Hanxiang Qian, Weijie Zhang
Summary: This paper proposes an adaptive heading tracking control strategy based on wheelbase changes for unmanned ground vehicles (UGVs) with variable configuration. The strategy adjusts the wheelbase according to different working conditions to optimize driving performance. The impact of changing wheelbase on sideslip angle and heading angle is analyzed, and a robust-active disturbance rejection control method is developed to achieve desired front-wheel steering angle. A torque distribution method based on tire load rate and real-time load is applied to enhance longitudinal stability.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Domenico Dona, Basilio Lenzo, Paolo Boscariol, Giulio Rosati
Summary: This paper proposes a new method for designing minimum energy trajectories for servo-actuated systems and demonstrates its accuracy and effectiveness through numerical comparisons and experimental validation.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Haolin Wang, Luyao Zhang, Yao Mao, Qiliang Bao
Summary: This paper proposes a method of transforming the core element of ADRC, ESO, into a novel fuzzy self-tuning observer structure to improve the stability of LOS in the electro-optical tracking system. It effectively solves the conflict between disturbance rejection ability and noise attenuation ability in traditional ESO.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Alejandro Toro-Ossaba, Juan C. Tejada, Santiago Rua, Juan David Nunez, Alejandro Pena
Summary: This work presents the development of a myoelectric Model Reference Adaptive Controller (MRAC) with an Adaptive Kalman Filter for controlling a cable driven soft elbow exoskeleton. The proposed MRAC controller is effective in both passive and active control modes, showing good adaptability and control capabilities.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Mehrad Jaloli, Marzia Cescon
Summary: This study presents an advanced multi-agent reinforcement learning (RL) strategy for personalized glucose regulation, which is shown to improve glucose regulation and reduce the risk of severe hyperglycemia compared to traditional therapy.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Yingming Tian, Kenan Du, Jianfeng Qu, Li Feng, Yi Chai
Summary: This paper investigates the control strategy for PMSM with position sensor fault in railway. A learning observer-based control strategy is proposed, which achieves high-precision estimation of electromotive force and accelerates speed response.
CONTROL ENGINEERING PRACTICE
(2024)
