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arXiv 2020年

作者： Silani, Amirreza Cucuzzella, Michele Scherpen, Jacquelien M.A. Yazdanpanah, Mohammad Javad Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

Motivated by the inadequacy of the existing control strategies for power systems affected by time-varying uncontrolled power injections such as loads and the increasingly widespread renewable energy sources, this paper proposes two control schemes based on the well-known output regulation control methodology. The first one is designed based on the classical output regulation theory and addresses the so-called Load Frequency control (LFC) problem in presence of time-varying uncontrolled power injections. Then, in order to also minimize the generation costs, we use an approximate output regulation method that solves numerically only the partial differential equation of the regulator equation and propose a controller based on this solution, minimizing an appropriate penalty function. An extensive case study shows excellent performance of the proposed control schemes in different and critical scenarios. Copyright © 2020, The Authors. All rights reserved.

关键词： Scheduling

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Passivity properties for regulation of DC networks with stochastic load demand

arXiv

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arXiv 2020年

In this paper we present new (stochastic) passivity properties for Direct Current (DC) power networks, where the unknown and unpredictable load demand is modelled by a stochastic process. More precisely, the considered power network consists of distributed generation units supplying ZIP loads, i.e., nonlinear loads comprised of impedance (Z), current (I) and power (P) components. Differently from the majority of the results in the literature, where each of these components is assumed to be constant, we consider time-varying loads whose dynamics are described by a class of stochastic differential equations. Finally, we prove that an existing distributed control scheme achieving current sharing and (average) voltage regulation ensures the asymptotic stochastic stability of the controlled network. Copyright © 2020, The Authors. All rights reserved.

关键词： Electric power transmission networks

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control-Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind-Wave Energy Systems

arXiv

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arXiv 2025年

作者： Huang, Yingbo Yuan, Bozhong He, Haoran Na, Jing Feng, Yu Li, Guang Zhao, Jing Wong, Pak Kin Cui, Lin Faculty of Mechanical and Electrical Engineering Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology Yunnan Kunming650500 China Chongqing Haizhuang Windpower Engineering and Research Co. LTD Chongqing400021 China Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Yunnan Kunming650500 China School of Engineering The University of Manchester ManchesterM13 9PL United Kingdom Department of Electromechanical Engineering University of Macau Taipa999078 China Zhuhai UM Research Institute Guangdong Zhuhai519031 China Jiangsu Marine Technology Innovation Center Jiangsu Nantong226100 China

Hybrid wind-wave energy system, integrating floating offshore wind turbine (FOWT) and wave energy converters (WECs), has received much attention in recent years due to its potential benefit in increasing the power harvest density and reducing the levelized cost of electricity (LCOE). Apart from the design complexities of the hybrid wind-wave energy systems, their energy conversion efficiency, power output smoothness and their safe operations introduce new challenges for their control system designs. Recent studies show that advanced model-based control strategies have the great potential to significantly improve their overall control performance. However the performance of these advanced control strategies rely on the computationally efficient control-oriented models with sufficient fidelity, which are normally difficult to derive due to the complexity of the hydro-, aerodynamic effects and the *** most available results, the hybrid wind-wave energy system models are established by using the Boundary Element Method (BEM), devoting to understanding the hydrodynamic responses and performance analysis. However, such models are complex and involved relatively heavy computational burden, which cannot be directly used for the advanced model-based control methods that are essential for improving power capture efficiency from implementing in practice. To overcome this issue, this paper proposes a control-oriented model of the hybrid windwave energy system with six degrees of freedom (DOFs). First, the Newton’s second law and fluid mechanics are employed to characterize the motion behaviour of the hybrid wind-wave energy system with the coupled aero-hydro-mooring dynamics. Then, a novel adaptive parameter estimation algorithm with simple low-pass filter approach is developed to estimate the system unknown coefficients. Different from the conventional parameter estimation methods, such as gradient descent method and recursive least-squares (RLS) method, the estimated

关键词： Wave energy conversion

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State and input observability of multi-agent systems: A necessary and sufficient condition

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Systems & control Letters 2023年 181卷

作者： Xiufeng Zhang Jian Sun Gang Wang Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming 650504 Yunnan China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming 650504 Yunnan China School of Automation Beijing Institute of Technology Beijing 100081 China

This paper considers the strong observability of multi-agent systems where a subset of agents are modified by unknown inputs. Leveraging a minimum separator decomposition, a necessary and sufficient condition for the state and input observability of multi-agent systems is established from a graph-theoretic perspective. The condition is formed by some special subgraphs and can be checked without complex computation. Besides, when the condition is not satisfied, it is shown that the state and input observability can be recovered by adding additional sensors to a subset of agents. A feasible sensor addition procedure is provided. Numerical examples corroborate the practical merits of the theoretical results.

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Dynamic covalent network-enabled poly (vinyl alcohol)/carboxymethyl cellulose films: A self-reinforcing and recyclable approach for sustainable fruit packaging

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International Journal of Biological Macromolecules 2025年 318卷

作者： Liu, Fengsong Wang, Zihan Cao, Yifang Tan, Tai Boon Fan, Yiting Ren, Jiahao Zou, Youning Chen, Ying Xie, Yijia Xiao, Xinglong Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control School of Light Industry and Food Engineering Guangxi University Nanning 530004 China Guangdong Provincial Key Laboratory of Intelligent Food Manufacturing Foshan University Foshan 528225 China School of Food Science and Engineering South China University of Technology Guangzhou 510640 China Department of Food Technology Faculty of Food Science and Technology Universiti Putra Malaysia Selangor Serdang 43400 Malaysia School of Food Science and Engineering Yangzhou University Yangzhou 225127 China

Developing sustainable packaging materials with enhanced mechanical strength and moisture resistance remains a pressing challenge. In this study, a self-reinforcing and recyclable film composed of poly (vinyl alcohol) (PVA) and carboxymethyl cellulose (CMC) was fabricated through dynamic covalent crosslinking. The strategy involved the formation of amide bonds (-CONH-) between the -COOH groups of CMC and the -NH2 groups of N-isopropylacrylamide (NIPA), thereby reinforcing intermolecular entanglements and enhancing structural integrity. Comprehensive characterization using X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) confirmed the construction of a robust double-crosslinked network. This architecture substantially reduced water absorption and improved film durability. The optimized PVA-10 % N-CMC film exhibited enhanced hydrophobicity, as evidenced by a water contact angle of 97.36°, low water solubility (14.67 %), and minimal water vapor permeability (0.88 g × mm/m² × h × kPa). Moreover, its outstanding mechanical performance and recyclability under varying humidity conditions underscore its potential as an eco-friendly packaging material. Notably, the film effectively prolonged the freshness of strawberries, maintaining fruit quality for up to 9 days during storage. Collectively, these findings offer a scalable approach for engineering high-performance biodegradable films, paving the way for advanced smart food packaging technologies.

关键词： Carboxymethyl cellulose Mechanical properties PVA-based film Self-assembling Self-reinforcing

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Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular Robotics

arXiv

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arXiv 2025年

作者： Yao, Tianliang Ban, Madaoji Lu, Bo Pei, Zhiqiang Qi, Peng Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Department of Electrical and Electronic Engineering Faculty of Engineering The University of Hong Kong 999077 Hong Kong Robotics and Microsystems Center School of Mechanical and Electric Engineering Soochow University Jiangsu Suzhou China School of Oriental Pan-Vascular Devices Innovation College University of Shanghai for Science and Technology 516 Jungong Road Shanghai200093 China State Key Laboratory of Cardiovascular Diseases Medical Innovation Center Shanghai East Hospital School of Medicine Tongji University Shanghai200092 China

Robotic-assisted percutaneous coronary intervention (PCI) holds considerable promise for elevating precision and safety in cardiovascular procedures. Nevertheless, current systems heavily depend on human operators, resulting in variability and the potential for human error. To tackle these challenges, Sim4EndoR, an innovative reinforcement learning (RL) based simulation environment, is first introduced to bolster task-level autonomy in PCI. This platform offers a comprehensive and risk-free environment for the development, evaluation, and refinement of potential autonomous systems, enhancing data collection efficiency and minimizing the need for costly hardware trials. A notable aspect of the groundbreaking Sim4EndoR is its reward function, which takes into account the anatomical constraints of the vascular environment, utilizing the geometric characteristics of vessels to steer the learning process. By seamlessly integrating advanced physical simulations with neural network-driven policy learning, Sim4EndoR fosters efficient sim-to-real translation, paving the way for safer, more consistent robotic interventions in clinical practice, ultimately improving patient outcomes. © 2025, CC BY.

关键词： Reinforcement learning

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Dynamic event-triggered H∞ state estimation for discrete-time complex-valued memristive neural networks with mixed time delays

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Neural networks : the official journal of the International Neural Network Society 2025年 190卷 107631页

作者： Yufei Liu Bo Shen Hongjian Liu Tingwen Huang Hailong Tan Jie Sun School of Electrical Engineering Anhui Polytechnic University Wuhu 241000 China Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education Anhui Polytechnic University Wuhu 241000 China. College of Information Science and Technology Donghua University Shanghai 201620 China Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education Shanghai 201620 China. Electronic address: bo.shen@***. Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of Education Anhui Polytechnic University Wuhu 241000 China School of Mathematics-Physics and Finance Anhui Polytechnic University Wuhu 241000 China. Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen 518107 China. School of Electrical Engineering Shanghai Dianji University Shanghai 201306 China.

This paper explores the H state estimation problem for a category of discrete-time complex-valued memristive neural networks (CVMNNs). Regarding the studied CVMNNs, the phenomena of the distributed delay and time-varying delay are taken into account so as to describe the system more practically. Firstly, for further effective analysis, the examined CVMNNs are converted to an augmented system that integrates both the real and imaginary dynamics about the initial CVMNNs. To alleviate the communication burden, a representative dynamic event-triggered scheme is employed, for the first time, in the state estimator design of discrete-time CVMNNs. By establishing the Lyapunov functional, a sufficient condition is derived to assure the asymptotical stability of the estimation error system. Subsequently, the explicit expression of the desired estimator is obtained by resolving several matrix inequalities. Ultimately, the efficacy of the designed state estimator is substantiated through a simulation example.

关键词： Complex-valued memristive neural networks Discrete-time Dynamic event-triggered mechanism Mixed time delays State estimation

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Exploring the Pan-Relationship Between Disease and Symptom Related to Coronary Heart Disease from Chinese Electronic Medical Records 15th

Exploring the Pan-Relationship Between Disease and Symptom R...

引用

15th International Conference on intelligent Computing, ICIC 2019

作者： Yang, Ronggen Wang, Yichen Wang, Bo Gong, Lejun Faculty of Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing211169 China Jiangsu Key Lab of Big Data Security and Intelligent Processing School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210046 China School of Geography and Bioinformatics Nanjing University of Posts and Telecommunication Nanjing China

ISBN: (纸本)9783030267650

Electronic Medical Records (EMRs) arises from the clinical treatment process, which reflects a patient’s physical condition, the disease, the treatment process, etc. It has an important significance for the recovery of the patient. As the amount of electronic medical records continues to increase, people are actively looking for ways to get the valid data contained in electronic medical records. More effective methods are urgently needed for processing EMRs. In this paper, 108 real EMRs of coronary heart disease were analyzed, through named entity recognition and entity relation extraction. Pan-relationship between entities was defined in the process. Experimental results showed the analysis of pan-relation between coronary heart disease and symptom is helpful for treatment of coronary heart disease. © 2019, Springer Nature Switzerland AG.

关键词： Diseases

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Notice of Retraction: Integrated Double Estimator Architecture for Reinforcement Learning

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IEEE Transactions on Cybernetics 2020年第5期52卷 1-12页

作者： Pingli Lv Xuesong Wang Yuhu Cheng Ziming Duan C. L. Philip Chen Engineering Research Center of Intelligent Control for Underground Space China University of Mining and Technology Xuzhou China School of Information and Electronics Engineering Jiangsu Vocational Institute of Architectural Technology Xuzhou China Faculty of Science and Technology the University of Macau Macau SAR 99999 China. He is now with the School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China.

Retracted.

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Two-DOF Speed control of Permanent Magnet Synchronous Machine with a novel Parameter Identification Method

Two-DOF Speed Control of Permanent Magnet Synchronous Machin...

引用

Chinese control Conference (CCC)

作者： Mingjin Hu Wei Hua Xudong Wu Chengdong Wu Dazhi Wang Zhentao Liu Xiaofang Yuan Wennong Zhang School of Electrical Engineering Southeast University Nanjing Faculty of Robot Science and Engineering Northeastern University Shenyang College of Information Science and Engineering Northeastern University Shenyang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 College of Electrical and Information Engineering Hunan University Changsha Inovance Technology Co Ltd Shenzhen

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, a two-degree-of-freedom (2-DOF) speed control scheme for permanent magnet synchronous machines is developed. Both the reference-tracking and disturbance rejection performance are taken into account and only a single parameter related to expected bandwidth determines the dynamics. To improve the performance of speed control, a novel identification method for mechanical parameters is also proposed. The effectiveness of the proposed method is verified by simulations.

关键词： Bandwidth Velocity control Torque Simulation Transfer functions Rotors Parameter estimation

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