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Congress on Evolutionary Computation

作者： Weidong Wu Xiaoyan Sun Yong Zhang Wei Song School of Information and Control Engineering China University of Mining and Technology Xuzhou China School of Artifical Intelligence and Computer Science Jiangnan University Wuxi China

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

The interactive evolutionary multi-task optimization approach assisted by surrogate models has proven successful in enhancing individualized recommendation performance. However, in light of the dynamically changing user preferences, it becomes imperative to further develop more powerful knowledge sharing strategy to improve the interactive multi-task optimization efficiency. A probability model-assisted search space alignment among multiple tasks method is proposed for knowledge transfer across multi-task environment. Additionally, a diversity maintaining mechanism of the transferred population is proposed to improve the quality and diversity of the initial population in a preference varied multi-task environment. The research demonstrates the effectiveness of the proposed approach in achieving effective knowledge transfer across multi-task environmen. Furthermore, the utilization of a high-quality initial population not only enhances the evolutionary search efficiency of the algorithm but also significantly improves the accuracy, diversity., and novelty of personalized recommendation.

关键词： Adaptation models Accuracy Heuristic algorithms Sociology Evolutionary computation Multitasking Statistics

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Mean Field LQG Social Optimization: A Reinforcement Learning Approach

arXiv

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arXiv 2024年

作者： Xu, Zhenhui Wang, Bing-Chang Shen, Tielong Department of Engineering and Applied Sciences Sophia University Tokyo102-8554 Japan School of Control Science and Engineering Shandong University Jinan250061 China

This paper presents a novel model-free method to solve linear quadratic Gaussian mean field social control problems in the presence of multiplicative noise. The objective is to achieve a social optimum by solving two algebraic Riccati equations (AREs) and determining a mean field (MF) state, both without requiring prior knowledge of individual system dynamics for all agents. In the proposed approach, we first employ integral reinforcement learning techniques to develop two model-free iterative equations that converge to solutions for the stochastic ARE and the induced indefinite ARE respectively. Then, the MF state is approximated, either through the Monte Carlo method with the obtained gain matrices or through the system identification with the measured data. Notably, a unified state and input samples collected from a single agent are used in both iterations and identification procedure, making the method more computationally efficient and scalable. Finally, a numerical example is given to demonstrate the effectiveness of the proposed algorithm. Copyright © 2024, The Authors. All rights reserved.

关键词： Riccati equations

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Recent progress on rational design of catalysts for fermentative hydrogen production

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SusMat 2022年第4期2卷 392-410页

作者： Yifan Chai Zhaoyuan Lyu Huitong Du Pan Li Shichao Ding Yujing Jiang Hua Wang Qianhao Min Dan Du Yuehe Lin Wenlei Zhu State Key Laboratory of Pollution Control and Resource Reuse State Key Laboratory of Analytical Chemistry for Life ScienceThe Frontiers Science Center for Critical Earth Material CyclingSchool of the EnvironmentSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingP.R.China School of Mechanical and Materials Engineering Washington State UniversityPullmanWashingtonUSA School of Life Sciences Huzhou UniversityHuzhouP.R.China

The increasingly severe energy crisis has strengthened the determination to develop environmentally friendly *** hydrogen has emerged as a candi-date for clean *** many hydrogen generation methods,biohydrogen stands out due to its environmental sustainability,simple operating environ-ment,and cost *** review focuses on the rational design of catalysts for fermentative hydrogen *** principles of microbial dark fermen-tation and photo-fermentation are elucidated *** strategies to increase the efficiency of fermentative hydrogen production are summa-rized,and some recent representative works from microbial dark fermentation and photo-fermentation are ***,perspectives and discussions on the rational design of catalysts for fermentative hydrogen production are provided.

关键词： catalysts fermentation hydrogen production renewable energy

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Incentivizing Smart Vehicles for Autonomous Driving HD Maps using predictive analytics

Incentivizing Smart Vehicles for Autonomous Driving HD Maps ...

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2023 International Conference on Machine Vision, Image Processing and Imaging Technology, MVIPIT 2023

作者： Khattak, Muhammad Ilyas Hui, Yuan Ullah, Inam Khan, Ajmal Ahmad, Ayaz Shandong University School of Control Science and Engineering Shandong province Jinan City China Depart. of Computer Science Shandong province Jinan City China Woosong University AI & Big Data Depart. Daejeon Korea Republic of Depart. of Electrical and Computer Engineering Wah Cantt Pakistan

ISBN: (纸本)9798350306545

Recent advancements in distributed data storage, colloborative processing capabilities, and their architectural design have a profound influence on our daily lives, simplifying the process of hosting computation-intensive software applications. A single software hosting device, for instance, an Onboard Computation Unit (OBCU) of an autonomous vehicle, on the other hand, can't keep up with the growing need for diverse requirements of computing architectures and processing power of such applications. For example, the real-time handling and generation of HD maps is one such crucial and highly computation-intensive application for autonomous vehicles. For this purpose, an efficient solution is to rely on the computing power of adjacent resource-rich nodes. Hence, the use of a latency-aware predictive analytics-based computation task offloading method has a vital significance, especially with the advent of Vehicular Edge and Fog Computing (VEFC). VEFC models pool redundant computational resources in close proximity. It, however, faces several challenges. The stochastic nature of vehicular networks, intricate heterogeneity at several levels, and the uncertainty of time-sensitive applications for the timely completion of tasks impede the VEFC's efficiency. We developed a computation offloading framework that timely alleviates the computing-resource-deficit devices by deploying vehicles as fog-nodes commensurate with the minimum latency requirements of advanced vehicular applications, especially computation-intensive HD map handling, and generation in real-time. Our technique is a greedy heuristic method that works in small, discrete steps instead of solving the entire optimization problem holistically. We used Monte Carlo simulation to show that our approach had an overall response time of under-300 milliseconds compared to other baseline methods. © 2023 IEEE.

关键词： Computation offloading

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Analysis of circulating current elimination Based on Three Phase Dual Frequency Grid-Connected Inverter

Analysis of circulating current elimination Based on Three P...

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2024 8th International Conference on Electrical, Mechanical and Computer engineering (ICEMCE)

作者： Zhigang Chen Zhenfei Cui Liyong Yang Chaonan Tong School of Automation and Electrical Engineering University of Science and Technology Beijing China College of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (数字)9798331506230

ISBN: (纸本)9798331506247

Integrating filters into inverters to improve the power quality is essential. This study examines a three-phase dual-frequency grid-connected inverter designed to minimize switching losses by reducing the switching frequency in the energy transmission channel. The system utilizes L-filters and auxiliary units (AUs) to suppress harmonics and ensure high-quality grid-connected current, effectively addressing resonance issues associated with LCL filters. Simulations and experimental results show that this scheme could eliminate the circulating current between the two units and effectively suppress the leakage current.

关键词： Filters Switching frequency Power quality Switching loss Resonant frequency Inverters Resonance Topology Leakage currents Power harmonic filters

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Stochastic Optimal Linear Quadratic Regulation control of Discrete-time Systems with Delay and Quadratic Constraints

arXiv

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arXiv 2024年

作者： Liu, Dawei Xu, Juanjuan Zhang, Huanshui The School of Control Science and Engineering Shandong University Shandong Jinan250061 China The College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao266590 China

This article explores the discrete-time stochastic optimal LQR control with delay and quadratic constraints. The inclusion of delay, compared to delay-free optimal LQR control with quadratic constraints, significantly increases the complexity of the problem. Using Lagrangian duality, the optimal control is obtained by solving the Riccati-ZXL equation in conjunction with a gradient ascent algorithm. Specifically, the parameterized optimal controller and cost function are derived by solving the Riccati-ZXL equation, with a gradient ascent algorithm determining the optimal parameter. The primary contribution of this work is presenting the optimal control as a feedback mechanism based on the state's conditional expectation, wherein the gain is determined using the Riccati-ZXL equation and the gradient ascent algorithm. Numerical examples demonstrate the effectiveness of the obtained results. Copyright © 2024, The Authors. All rights reserved.

关键词： Cost functions

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Multi-OP: A Multilevel Model for Orbital Prediction Using Multi-Feature Fusion

Multi-OP: A Multilevel Model for Orbital Prediction Using Mu...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Qinghao Chu Zhelong Wang Yu Jiang Pengrong Hou Pinliang Zhang School of Control Science and Engineering Dalian University of Technology Dalian China State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control Center Xi’an China Beijing Institute of Spacecraft Environment Engineering China Academy of Space Technology Beijing China

ISBN: (数字)9798331516147

ISBN: (纸本)9798331516154

To address the increasing computational demands and the need for enhanced stability in the orbit prediction of large-scale resident space objects (RSOs), this paper proposes a novel method grounded in orbital dynamics, which defines and computes environmental, dynamical, and fingerprint features. A feature fusion strategy is then applied to introduce a Multi-OP model comprising a shared backbone and a prediction layer tailored for orbit prediction tasks. Specifically, the shared backbone integrates environmental and dynamical features to capture public information, thereby enhancing the model’s generalization ability. The prediction layer, in contrast, leverages fingerprint features to generate individualized orbit predictions for each RSO. Experimental results demonstrate that the Multi-OP model not only enhances the accuracy of orbit prediction but also exhibits remarkable stability.

关键词： Space vehicles Accuracy Computational modeling Information processing Fingerprint recognition Predictive models Orbits Stability analysis Intelligent control Convergence

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Dynamic Stiffness Analysis and Parameter Optimization of Digital Electro-Hydraulic Actuator 9

Dynamic Stiffness Analysis and Parameter Optimization of Dig...

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9th International Conference on Fluid Power and Mechatronics, FPM 2023

作者： Zhao, Tian-Yu Wu, Shuai Li, Wen-Ding Li, Ren-Jie Wang, Yi Song, Bing Fu, Jun-Yong Jiao, Zong-Xia School of Automation Science and Electrical Engineering Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China Ningbo Institute of Technology Beihang University Ningbo China Shanghai Aerospace Control Technology Institute Shanghai China Shanghai Servo-system Engineering Research Center Shanghai China Beihang University Key Laboratory of Advanced Airborne Systems Beijing China Beihang University Science and Technology on Aircraft Control Laboratory Beijing China Tianmushan Laboratory Hangzhou China

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304947

In this paper, the dynamic stiffness characteristics of digital electro-hydraulic actuator are analyzed, and the influence of the introduction of digital valve on the electro-hydraulic actuator is studied. Based on the actual working conditions and requirements of digital electro-hydraulic actuator, the dynamic stiffness models of digital electro-hydraulic actuator and servo valve controlled electro-hydraulic actuator are established respectively. Two testing methods were used to complete closed-loop dynamic stiffness simulation, and the digital valve control system and the servo valve control system are compared and analyzed. By changing different system parameters, the sensitivity analysis of dynamic stiffness parameters of digital electro-hydraulic actuator is realized. Finally, the optimization of system control parameters is realized, and the optimization direction of the system parameters of the digital electro-hydraulic actuator is provided. © 2023 IEEE.

关键词： Stiffness

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Induced airflow and generated aerosols by urinal flushing in a lavatory

Induced airflow and generated aerosols by urinal flushing in...

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Healthy Buildings 2023: Asia and Pacific Rim

作者： Dai, Weiyang Wang, Feng Zhang, Tengfei Department of Civil Engineering Dalian University of Technology Dalian China Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hung Hom Hong Kong Tianjin Laboratory of Indoor Air Environmental Quality Control School of Environmental Science and Engineering Tianjin University Tianjin China

ISBN: (纸本)9781713890850

Flushing urinal involves intensive water flow to sweep the urinal bowl, which may cause the microbes inside the liquid mixture to aerosolize. The water flow can also induce significant airflow to carry the microbes for airborne transmission and possibly lead to infection. However, the flushing-induced air motion and the resulting particle transmission are still unclear so far. This study constructed a urinal mock-up inside a lavatory in lab. The hanging urinal with a flushometer consumed approximately 2.6 L of water per flushing. The flushing-induced airflow was visualized by water mist and quantitatively measured by an ultrasonic anemometer. The highest impacted height that the airflow can reach was identified. The total released particle number and spectrum were inferred from the measured particle concentrations inside an enclosure covering the urinal. Then the possibly inhaled particle numbers at two different breathing heights were estimated. The study found that the flushing-induced airflow can rise to at least 1.2 m above the ground by means of the buoyancy-driven air motion near a lavatory user standing in front of the urinal. A typical urinal flushing can generate 0.45 million particles greater than 0.3 μm, of which the submicron particles possess 92.6%. The urinal users, especially those whose respiratory zones are below 1.2 m, may have a high inhalation risk even when standing in front of the urinal for one minute after flushing. © 2023 Healthy Buildings 2023: Asia and Pacific Rim. All rights reserved.

关键词： Flow of water

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A Survey of Maneuvering Target Prediction via Interactive Multiple Model

A Survey of Maneuvering Target Prediction via Interactive Mu...

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第34届中国控制与决策会议

作者： Wang Na Peng Kun Li Yang School of Control Science and Engineering Tiangong University Key Laboratory of Intelligent Control of Electrical Equipment

Maneuvering target prediction is a kind of methods to estimate the future state of moving target with randomness and complexity,according to the information of historical moment or current *** the target maneuvering,larger prediction error will be produced by single motion *** the interactive multiple model is *** this means,several models are used to match with their moving *** the parallel filtering is realized,and the results of filters are weighted and combined to obtain the final *** the prediction accuracy of the proposed method for the more complex motions is *** this paper,considering the common states of constant velocity,constant acceleration and variable acceleration,the principle of interactive multiple model is *** then its study and application in target prediction is ***,the development and the trends of the interactive multiple model in the target prediction is analyzed and prospected.

关键词： Maneuvering Target Prediction Target State Estimation Motion Model Model Prediction Error Interactive Multiple Model

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