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Evaluation of the survival of Yangtze finless porpoise under probabilistic hesitant fuzzy environment

international JOURNAL OF INTELLIGENT systems 2022年第10期37卷 7665-7684页

作者： Wang, Yongbing Jia, Xinling Zhang, Lixia Anqing Normal Univ Sch Math & Phys Jixian North Rd Anqing 246133 Anhui Peoples R China Anqing Normal Univ Key Lab Modeling Simulat & Control Complex Ecosys Anqing Anhui Peoples R China

Considering the significant advantages of probabilistic hesitant fuzzy sets (PHFSs) in the multicriteria decision-making (MCDM) problems and the limitations of existing methods for PHFSs, we develop an improved probabilistic hesitant fuzzy MCDM (PHF-MCDM) model based on distance measure of probabilistic hesitant fuzzy elements (PHFEs) in this study. First, the hesitant degree is proposed to measure the hesitation caused by the multiple membership degree and the corresponding preferences of decision-makers in the PHFEs, then we put forward a series of distance measures and corresponding similarity measures of PHFE. Afterwards, we introduce the axiomatic definition of PHF entropies for PHFE, and then present the relation between distance measure and entropy measure. Finally, we develop a PHF-MCDM model that can solve completely unknown attribute weights, and provide a case study of Yangtze finless porpoise protection to verify the effectiveness of the proposed methods. Meanwhile, a comparison analysis with the previous method and sensitivity analysis are discussed.

关键词： distance measure entropy measure MCDM PHFEs Yangtze finless porpoise

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Design of Intelligent Distributed Cable Laying System Based on Multi-machine Cooperative control Strategy

Design of Intelligent Distributed Cable Laying System Based ...

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2024 international conference on Computational Intelligence and Communication System, CCICS 2024

作者： Li, Tiefeng Gao, Jiantong Xu, Mingwei Li, Jialu Zhou, Yuntong Wang, Hao State Grid Jilin Electric Power Co. LTD Jilin Power Supply Company Jilin China

To solve the problems of complicated long-distance cable laying process, low laying efficiency and easy cable damage, an intelligent distributed cable laying system based on a multi-machine coordination strategy is proposed in this paper. Firstly, the multi-machine cooperative control strategy of cable clamping push laying is proposed, which solves the problem of complex and low efficiency of long-distance cable laying. Secondly, the intelligent cable-laying machine is developed to realize the perception and adaptive control of the cable-laying field conditions. Finally, an intelligent distributed cable laying system based on a multi-machine cooperative control strategy is developed. The combination of a multi-machine cooperative control strategy and an intelligent cable laying machine further strengthens the cooperation and stability of the whole system and provides a more intelligent and efficient way for cable laying. © Published under licence by IOP Publishing Ltd.

关键词： Adaptive control systems

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Fused attention mechanisms-based facial expression recognition

Fused attention mechanisms-based facial expression recogniti...

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2024 international conference on Electronics, Electrical and Information Engineering, ICEEIE 2024

作者： Xia, Wenxuan Process Equipment and Control Engineering East China University of Science and Technology Shanghai200000 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

In recent years, the utilization of Facial Expression Recognition (FER) has gained significant traction across diverse domains including healthcare, marketing, and human-computer interface. This trend has prompted a gradual shift towards the adoption of deep learning methodologies for facial expression recognition. The paper highlights the importance of FER systems in comprehending human communication, detailing traditional methods and recent advancements in the field. It proposes a new framework integrating attention mechanisms into the VGGNet model for FER, utilizing the FER-2013 dataset for evaluation. Data augmentation techniques are employed to enhance model robustness, and attention mechanisms are integrated into the VGGNet-SE model. Through Comparative experiments, it is shown that the model of VGGNet-SE-last which adds attention mechanisms after the last convolutional layer of VGG16 achieves the most significant improvement in accuracy and reduction in Top 5 error, particularly with a ratio of 16 in SENet. Experimental results indicate that after incorporating attention mechanisms, the model can more accurately focus on important regions related to emotions in the images, leading to improved performance in recognizing facial expressions. In the future, further research on FER will be implemented by suggesting further optimizations in model architecture and exploration of more complex datasets for future research in FER. © 2024 SPIE.

关键词： Facial recognition systems Data modeling Performance modeling Education and training Feature extraction Machine learning Emotion Deep learning Image classification Network architectures

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Robust model predictive control strategy for virtually coupled train sets using time-varying tubes 26

Robust model predictive control strategy for virtually coupl...

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IEEE 26th international conference on Intelligent Transportation systems (ITSC)

作者： Luo, Zhengwei Lv, Jidong Lv, Jiahui Liu, Hongjie Chai, Ming Li, Kaicheng Beijing Jiaotong Univ Natl Engn Res Ctr Rail Transportat Operat & Contr Beijing Peoples R China

ISBN: (纸本)9798350399462

Advanced Virtual Coupling (VC) technology can improve rail transit capacity by reducing train spacing. Due to the inevitable time-varying uncertainties of tunnel resistance and other disturbances, it is a great challenge to design an optimal controller for Virtually Coupled Train Set (VCTS), especially considering safety constraints and less conservative control performance. To overcome these problems, this paper proposes a novel robust Model Predictive control (MPC) strategy for VCTS based on time-varying tubes, which is different from the existing methods based on fixed size tubes. First, the VCTS system is modeled considering complex constraints and bounded disturbances. Secondly, on the basis of analyzing the influence of disturbances, the optimal control problem is constructed by using time-varying tubes for constraints tightening. Furthermore, a distributed robust MPC algorithm is proposed to realize cooperative operation control, and its recursive feasibility and input-to-state stability are proved. Finally, numerical simulations are provided to show that the time-varying tubes can obtain a larger feasible domain of the optimal control problem than the fixed size tubes, which is conducive to reducing the conservativeness of controller, and the proposed algorithm can deal with disturbances effectively.

关键词： Virtual coupling Robust model predictive control Time-varying tubes Input-to-state stability

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Software Package for Mathematical modeling of Industrial Scheduling Process 4

Software Package for Mathematical Modeling of Industrial Sch...

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4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Chistyakova, Tamara Balabekovna Shashikhina, Olga Evgenevna Plekhanov, Aleksandr Andreevich Saint-Petersburg State Institute of Technology Computer Design and Control Department St. Petersburg Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The report describes a flexible software package for modeling the production planning process to solve the problem of optimizing the preparation of calendar schedules of multiassortment continuous-discrete enterprises characterized by a large range of products, many types and configurations of equipment. Since the number of variants of production schedules increases exponentially with increasing dimensionality of the task, it is relevant to develop a specialized complex of effective optimal planning, insisting on the characteristics of various multi-assortment productions. The development is based on the use of methods of the theory of schedules, optimization and evolutionary calculations, tools for object-oriented development of complex software systems and databases. The proposed software package has various intelligent user interfaces supplemented by databases of products, equipment and technological regulations, a library of objective functions and mathematical optimization methods, a module for expert system configuration, as well as an interactive visualization system of the obtained production plans in the form of a Gantt chart and a tree of optimization problem solutions. Testing of the software package on real industrial data of polymer and metallurgical industries confirmed the effectiveness of solving planning problems using the proposed methods and algorithms. The implementation and use of the proposed software package makes it possible to ensure efficient loading of the enterprise's equipment, reduce the cost of production and simplify the process of making managerial decisions during production planning. © 2022 IEEE.

关键词： Software testing

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Artillery servo system auto-coupling PID control based on improved dung beetle optimizer 4

Artillery servo system auto-coupling PID control based on im...

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4th international conference on Defence Technology, ICDT 2024

作者： Shen, Kai Han, Chongwei Liu, Ye Zhang, Yue Hu, Xin Zhao, Xin Dai, Pu Hao, Qikai Zhang, Ziluo Northwest Institute of Mechanical & Electrical Engineering Xianyang712099 China Shaanxi Normal University Xi'an710000 China

This paper proposes an auto-coupling PID (ACPID) control strategy based on the improved dung beetle optimizer (IDBO) in light of the complex control problems, including nonlinearity, external interference, and internal uncertainty, encountered in artillery servo systems. First, an artillery servo system mathematical model was created. Second, we modified the dung beetle optimizer (DBO) algorithm by incorporating a Levy flight and mutation mechanism, an adaptive weight-changing spiral search approach, an enhanced boundary convergence factor, and PWLCM chaotic mapping. They made convergence go faster, convergence accuracy go higher, and the algorithm's capacity to avoid local optima and global search got better. Next, we utilized IDBO to optimize ACPID's speed factor. Finally, the simulation results demonstrated the potential applicability of IDBO-ACPID control in the field of artillery servo control, as evidenced by its quick response time, high control accuracy, strong anti-disturbance ability and robustness. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Three term control systems

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Multiagent Power Flow control for Plug-and-Play Battery Energy Storage systems in DC Microgrids 58

Multiagent Power Flow Control for Plug-and-Play Battery Ener...

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58th international Universities Power Engineering conference, UPEC 2023

作者： Al-Saadi, Mudhafar Short, Michael School of Computing Engineering and Digital Technologies Teesside University Middelisborough United Kingdom

ISBN: (纸本)9798350316834

Multiagent reinforcement learning has proven remarkably effective at finding near-optimal solutions to complex non-linear control problems when compared to classical schemes. Such problems typically arise when considering power management problems related to advanced power distribution applications, such as micro/smart grids, smart buildings, electric vehicles, and vehicle-to-grid applications. The achievement of balanced synchronized charge/discharge of energy storage systems in real-time is often a critical factor in fulfilling optimized power flow and enhancing battery health and usable lifetime. It is also critical to reducing power losses, supporting energy/power balance, and integration of renewable/intermittent energy. This paper proposes a control adaptation to optimize the power flow of battery energy systems in a DC autonomous microgrid. Multiagent neighbor-to-neighbor information related to the variation in the load participation and measured state of charge is locally exploited to optimize the balance of power storage. The results confirm accurate synchronization of the charge/discharge and enhanced balanced output voltage under an excessive continuous load variation. In addition, for different expectations of real operation, regarding battery capacities, initial states of charge, environmental impacts, and degradation. Furthermore, the independence of the microgrid operation from the number of battery energy storage systems is verified through plug-and-play insertions and removals. © 2023 IEEE.

关键词： Electric load flow

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A Method for Constructing Adaptive control systems for Electric Drives of an Underwater Multi-Link Manipulator

A Method for Constructing Adaptive Control Systems for Elect...

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2023 international Russian Automation conference, RusAutoCon 2023

作者： Filaretov, Vladimir F. Zuev, Aleksandr V. Timoshenko, Aleksandr A. Sevastopol State Univ. Inst. of Automat. and Contr. Processes Far E. Br. of Russ. Acad. of Sciences Sevastopol Russia M.D. Ageev Institute of Marine Technology Problems Far East Branch of Russian Academy of Sciences Vladivostok Russia Far Estern Federal University M.D. Ageev Institute of Marine Technology Problems Far East Branch of Russian Academy of Sciences Vladivostok Russia

ISBN: (纸本)9798350345551

The article deals with the problem of constructing adaptive control systems for electric drives of underwater manipulators using only information about the position of the output shafts of these drives. These systems compensate for part of the external torque acting on the corresponding electric drive shaft, caused by the mutual influences between the moving links of the manipulator and interaction with a viscous environment, by supplying an additional control signal to the drive input. The operation of the proposed system is based on the use of observers with a variable structure, allowing in real time to estimate mentioned external torque, as well as the rotation velocity and acceleration of electric driver shaft. The effectiveness of such a system has been confirmed by mathematical modeling. © 2023 IEEE.

关键词： Electric drives

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A Robust DPCC with Super-Twisting Sliding Mode Observer and Parameter Identification for IPMSM 8

A Robust DPCC with Super-Twisting Sliding Mode Observer and ...

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8th CAA international conference on Vehicular control and Intelligence, CVCI 2024

作者： Huan, Zihao Zhang, Chao Jiang, Yuyao Gao, Bingzhao Wang, Xinjian School of Automotive Studies Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China School of Customs and Public Administration Shanghai Customs College Shanghai China

ISBN: (纸本)9798331504892

To solve the problems of performance degradation caused by parameter mismatch in deadbeat predictive current control(DPCC) under complex operation conditions, an interior permanent magnet synchronous motor(IPMSM) robust DPCC method based on disturbance sliding-mode observer is proposed, which can estimate and compensate voltage error due to parameter mismatch. In order to solve chattering problem of SMO, an improved SMO based on super-twisting algorithm(STA) is designed, which can further improve steady-state performance, and reduce harmonics. Furthermore, Adaline neural network is used to design parameter estimator which can extract parameter error information contained in voltage error. Finally, the effectiveness of proposed STA-SMO based DPCC and Adaline NN is verified on an IPMSM by simulation. © 2024 IEEE.

关键词： Sliding mode control

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Dynamic Event-Triggered H∞ control for Uncertain Stochastic Singular Markov Jump systems with Time-Varying Delays

Dynamic Event-Triggered H∞ Control for Uncertain Stochastic...

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2023 international Annual conference on complex systems and Intelligent Science, CSIS-IAC 2023

作者： Chang, Chunling Yang, Zihan Xing, Shuangyun School of Mechanical Engineering Shenyang Jianzhu University Department of Science Shenyang110168 China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang110168 China School of Mechanical Engineering Shenyang Jianzhu University Shenyang110168 China

ISBN: (纸本)9798350309003

This article studies the H∞ control problems of uncertain stochastic singular Markov jump systems with time-varying delays. By constructing a new Lyapunov functional, using the free weight matrix scheme and linear matrix inequalities technique, the conditions of stochastic admissibility in the mean-square sense for uncertain stochastic singular Markov jump systems with time-varying delays are obtained. The H∞ controller is designed based on dynamic event-triggered mechanism so that the corresponding closed-loop systems stochastically admissible in the mean-square sense and satisfies the given H∞ performance index γ. In the end, the usefulness of the intended scheme is described by a numerical example. © 2023 IEEE.

关键词： Stochastic systems

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