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Predicting the Bioaccessibility of Soil Cd,Pb,and As with Advanced Machine Learning for Continental-Scale Soil Environmental Criteria Determination in China

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Environment & Health 2024年第9期2卷 631-641页

作者： Kunting Xie Jiajun Ou Minghao He Weijie Peng Yong Yuan Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Automation Guangdong University of TechnologyGuangzhou 510006China Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

Investigating the bioaccessibility of harmful inorganic elements in soil is crucial for understanding their behavior in the environment and accurately assessing the environmental risks associated with *** batch experimental methods and linear models,however,are time-consuming and often fall short in precisely quantifying *** this study,using 937 data points gathered from 56 journal articles,we developed machine learning models for three harmful inorganic elements,namely,Cd,Pb,and *** thorough analysis,the model optimized through a boosting ensemble strategy demonstrated the best performance,with an average R2 of 0.95 and an RMSE of *** further employed SHAP values in conjunction with quantitative analysis to identify the key features that influence *** utilizing the developed integrated models,we carried out predictions for 3002 data points across China,clarifying the bioaccessibility of cadmium(Cd),lead(Pb),and arsenic(As)in the soils of various sites and constructed a comprehensive spatial distribution map of China using the inverse distance weighting(IDW)interpolation *** on these findings,we further derived the soil environmental standards for metallurgical sites in *** observations from the collected data indicate a reduction in the number of sites exceeding the standard levels for Cd,Pb,and As in mining/smelting sites from 5,58,and 14 to 1,24,and 7,*** research offers a precise and scientific approach for cross-regional risk assessment at the continental scale and lays a solid foundation for soil environmental management.

关键词： machine learning soil environmental criteria potentially harmful elements bioaccessibility sites

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Transformer-Based Predictive Analysis and Maintenance for Aluminum Foil Mill 43

Transformer-Based Predictive Analysis and Maintenance for Al...

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43rd Chinese control Conference, CCC 2024

作者： Su, Jiuzheng Hu, Wenshan Liu, Guo-Ping Lei, Zhongcheng Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Southern University of Science and Technology Center for Control Science and Technology Shenzhen518055 China

ISBN: (纸本)9789887581581

The aluminum foil mill is an important industrial production equipment. To reduce operation and maintenance costs and prevent breakdowns in the rolling mill, it is necessary to analyze and predict the data of different sensors of the mill, including voltage, current, temperature and others. In this paper, the problem analysis and modeling of the actual rolling mill production process are carried out, and the typical data of sensors are analyzed based on the Transformer model. Experimental results are compared with other typical time series prediction models. The final results show that the Transformer model has great potential in the predictive maintenance of aluminum foil mill. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Aluminum foil

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Linear Full-Information Feedback Approach to Closed-Loop Stackelberg Strategy 42

Linear Full-Information Feedback Approach to Closed-Loop Sta...

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42nd Chinese control Conference, CCC 2023

作者： Li, Hongdan Xu, Juanjuan Zhang, Huanshui College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9789887581543

Stackelberg strategy has received great attention since the 1970s. The closed-loop solution still faces many difficulties though the open-loop problems have been well studied. An obvious fact for the difficulty is that the optimal closed-loop solution to the Stackelberg strategy is implicit nonlinear. By presenting a novel approach of full-information linear feedback strategy, substantial progress for the problem is made in this paper. We are the first to present explicit linear closed-loop Stackelberg controllers in terms of the current state and Riccatilike equations. Due to the elegance and simplicity of the solution, the proposed results will be extended to other game control problems with asymmetry status players. More importantly, the Q-Iearning algorithm for the Stackelberg strategy will become possible with the proposed optimal solution. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Feedback

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Distributed Predefined-Time Secondary control for AC Microgrid 49

Distributed Predefined-Time Secondary Control for AC Microgr...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Zhang, Yu Liu, Xiaokang Wu, Zheng Xing, Lantao School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Control Science and Engineering Shandong University Jinan China

ISBN: (纸本)9798350331820

Due to the widespread adoption of distributed generators and the increasing diversity of loads, AC microgrid has emerged as a prominent research area. However, there is a dearth of research outcomes that address the achievement of precise AC bus voltage/frequency restoration and active/reactive power sharing control objectives within a predefined time. In this paper, a distributed predefined-time secondary controller is presented to fulfill the aforementioned objectives without load power, which is accomplished by defining composite errors and employing a distributed predefined-time observer. Notably, the convergence time of bus voltage and the output power of converters can be tailored by a predefined parameter. Numerical simulation tests have been conducted to verify the efficacy of the predefined-time method in scenarios involving load variations and plug-and-play. © 2023 IEEE.

关键词： Reactive power

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Dynamic Quantized control of Fuzzy Semi-Markov Jump Systems With Fading Channels: An Improved Event-Triggered Mechanism

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3519-3531页

作者： Hu, Meng-Jie Park, Ju H. Cheng, Jun Wang, Yan-Wu China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Yeungnam University Department of Electrical Engineering Gyeongsan38541 Korea Republic of Guangxi Normal University School of Mathematics and Statistics Guilin541006 China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China

This article focuses on the dynamic quantized control for Takagi-Sugeno fuzzy semi-Markov jump systems (T-S FSMJSs) under fading channels and deception attacks, employing an improved event-triggered mechanism (ETM) strategy. Specifically, a more generalized semi-Markov process (SMP) that is governed by a higher-level deterministic switching signal (HLDSS) is addressed. A novel dynamic ETM is skillfully developed based on the information of quantization and two internal dynamic adjusting variables to further enhance the network bandwidth utilization. The dual asynchronous phenomenon between the plant and controller (asynchronous modes and mismatched premise variables) is addressed. This implies that the designed controller is not required to share the same membership functions and modes as the plant, establishing a more rational structure. The hidden semi-Markov model (HSMM) is attained to characterize the stochastic varying channel fading amplitudes. The Lyapunov function incorporating mode and fuzzy information is constructed to establish sufficient criteria ensuring the strictly dissipative performance and mean-square exponential stability (MSES) of the resulting closed-loop systems, and a new security fuzzy dual asynchronous controller is then developed. Finally, the efficacy and applicability of the results are demonstrated through numerical and practical examples. © 2025 IEEE.

关键词： Membership functions

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Path Planning and Tracking control for Quadrotor Helicopters Based on Artificial Potential Field 42

Path Planning and Tracking Control for Quadrotor Helicopters...

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42nd Chinese control Conference, CCC 2023

作者： Guo, Jianchuan Shi, Hua Zhang, Ziyang School of Control Science and Engineering Tiangong University Tianjin300387 China School of Automation Nanjing University of Science and Technology Nanjing210014 China

ISBN: (纸本)9789887581543

This paper presents a path planning method that satisfies both environmental constraints and dynamics constraints of the quadrotor helicopters. An improved artificial potential field (APF) method is employed in path planning for the quadrotor to get a series of path points that meet environmental constraints. Using the differential flatness property of the system, a smooth reference trajectory connecting these path points satisfying the dynamics characteristics of the quadrotor is obtained. A cascaded control strategy is proposed for autonomous flight control of the quadrotor. The outer loop adopts high-order differential feedback control (HODFC) method, and the inner loop employs proportional-integral-derivative (PID) controller. Numerical simulations and experimental results show that the proposed control strategy has superior tracking performance compared with the cascaded PID controller. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Motion planning

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Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning 41

Harnessing Neural Unit Dynamics for Effective and Scalable C...

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41st International Conference on Machine Learning, ICML 2024

作者： Li, Depeng Wang, Tianqi Chen, Junwei Dai, Wei Zeng, Zhigang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

Class-incremental learning (CIL) aims to train a model to learn new classes from non-stationary data streams without forgetting old ones. In this paper, we propose a new kind of connectionist model by tailoring neural unit dynamics that adapt the behavior of neural networks for CIL. In each training session, it introduces a supervisory mechanism to guide network expansion whose growth size is compactly commensurate with the intrinsic complexity of a newly arriving task. This constructs a near-minimal network while allowing the model to expand its capacity when cannot sufficiently hold new classes. At inference time, it automatically reactivates the required neural units to retrieve knowledge and leaves the remaining inactivated to prevent interference. We name our model AutoActivator, which is effective and scalable. To gain insights into the neural unit dynamics, we theoretically analyze the model's convergence property via a universal approximation theorem on learning sequential mappings, which is under-explored in the CIL community. Experiments show that our method achieves strong CIL performance in rehearsal-free and minimal-expansion settings with different backbones. Copyright 2024 by the author(s)

关键词： Adversarial machine learning

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Iterative learning-based fault estimation for continuous-time switched linear systems with ADT constraint

Iterative learning-based fault estimation for continuous-tim...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Zhang, Jian Zhu, Yanzheng Yang, Rongni Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University School of Control Science and Engineering Jinan China

ISBN: (纸本)9798350337754

This paper investigates the fault estimation (FE) problem for a class of switched linear systems with actuator faults and external disturbances. The restricted switching is to satisfy the average dwell time (ADT) constraint, and the disturbance assumes to be different for each iterative operation. Firstly, the iterative learning (IL) observer is designed to simultaneously estimate the states and faults. Secondly, under the ADT switching, the convergence of the ILO is guaranteed such that the estimation errors converge to the region caused by the disturbances. Different from existing results based on arbitrary switching, the ADT switching is used for the first time to analyze the convergence of iterative learning estimator. Finally, an example is given to show the validity of the approach. © 2023 IEEE.

关键词： Linear systems

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Multiple Static Target Hunting Based on the RRT and OSPA Distance

Multiple Static Target Hunting Based on the RRT and OSPA Dis...

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2024 China automation Congress, CAC 2024

作者： Liu, Weifeng Ren, Shiwei Tang, Jiawei Su, Zijun School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi’an China School of Automation Hangzhou Dianzi University Hangzhou China University of Electronic Science and Technology Chengdu China

ISBN: (纸本)9798350368604

This paper considers multiple static target hunting control and path planning using multi-agents. The whole hunting process can be classified into two stages. The first is cruising stage, where the agents move in a certain formation to approach the multiple static targets. Once the agents enter into certain ranges around the targets, the agents will switch into the second stage of hunting. In these two stages, it is required to consider several issues: the agent controlling, path planning, and task allocation. Specifically, the traditional multi-agent controlling algorithm, rapidly-exploring random tree (RRT), and optimal sub-pattern assignment (OSPA) are respectively used in the process. Simulation experiment shows that the path planning and hunting algorithm can efficiently realize the formation movement and multiple static targets hunting. © 2024 IEEE.

关键词： Multi agent systems

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Quantum-Inspired Solvers on Mixed-Integer Linear Programming Problem 41

Quantum-Inspired Solvers on Mixed-Integer Linear Programming...

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第41届中国控制会议

作者： Hao Wang Yu Pan Wei Cui School of Automation Science and Engineering South China University of Technology College of Control Science and Engineering Zhejiang University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Mixed-integer linear programming(MILP) plays a crucial role in artificial intelligence,biochemistry,finance,cryptography,*** popular for decades,the researches of MILP solvers are still limited by the resource consumption caused by complexity and failure of Moore's ***-inspired Ising machines,as a new computing paradigm,can be used to solve integer programming problems by reducing them into Ising ***,it is necessary to understand the technical evolution of quantum inspired solvers to break the *** this paper,the concept and traditional algorithms for MILP are ***,focused on Ising model,the principle and implementations of annealers and coherent Ising machines are ***,the paper discusses the challenges and opportunities of miniaturized solvers in the future.

关键词： Mixed-integer Linear Programming Solver Annealer Coherent Ising Machine

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