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3rd International conference on Energy and Power Engineering, control Engineering (EPECE)

作者： Zhang, Bowen Chongqing Univ Sch Automat Minist Educ Key Lab Dependable Serv Comp Cyber Phys Soc Chongqing 400044 Peoples R China

ISBN: (纸本)9798350366105;9798350366099

This study focuses on the problem of vehicle dynamics modeling within the framework of intelligent vehicles cyber-physical systems. Initially, a mechanistic analysis of vehicle dynamics is conducted, and, leveraging its characteristics, we design a composite neural network that integrates Gated Recurrent Unit (GRU) and Feedforward Neural network (FNN), employing a data-driven modeling methodology. Subsequently, a novel neural network-based digital mapping proxy model for vehicle dynamics is formulated. Comparative experiments among various methods demonstrate that our proposed approach yields higher precision in both lateral and longitudinal dynamic models. The application of our model to the vehicle longitudinal speed tracking control system validates its suitability and real-time performance in control system simulation.

关键词： Vehicle dynamics Neural networks Data-driven modeling Speed tracking control

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Coherent Design of Wind Turbine controllers Considering Transitions between Operating Regions using Fuzzy Membership Functions

Coherent Design of Wind Turbine Controllers Considering Tran...

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IEEE International conference on Fuzzy systems (FUZZ-IEEE)

作者： Schulte, Horst Univ Appl Sci Berlin HTW Berlin Fac Sch Engn Energy & Informat Sci Control Syst Grp D-12459 Berlin Germany

ISBN: (纸本)9798350319552;9798350319545

This paper presents a coherent design of wind turbine controllers with explicit consideration of transitions between operating regions by fuzzy membership functions. In improving the design process of wind turbines, the transitions between partial-load operation by torque control and full-load operation by pitch control need to be systematically considered. From the first view, fuzzy methods for blending separately designed control laws are an obvious choice. However, valid design rules must be developed to ensure stability and performance during the transition. A model-based control design procedure in the Takagi-Sugeno fuzzy framework using the sector nonlinearity method is proposed to achieve the above control design objectives. In addition to a detailed mathematical analysis of the design, the method's applicability is verified by simulation studies using a high-fidelity reference wind turbine model.

关键词： Takagi-Sugeno fuzzy systems LMI-based design Bumpless controller Design Wind Turbine control

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Power Quality Improvement using a Robust Voltage Vector-controlled Three-Phase SAPF-based Fuzzy Logic and Space Vector Modulation 14

Power Quality Improvement using a Robust Voltage Vector-Cont...

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14th International conference on Intelligent systems: Theories and Applications, SITA 2023

作者： Essoussi, Bouchaib Moutabir, Ahmed Bensassi, Bahloul Ouchatti, Abderrahmane Zahraoui, Yassine Benazza, Bouchaib Hassan Ii University Fsac Electrical Engineering Department Casablanca Morocco Hassan Ii University ENSAM-C Electrical Engineering Department Casablanca Morocco Mohammed v University ENSAM-R Electrical Engineering Department Rabat Morocco

ISBN: (纸本)9798350308211

The multiplication of nonlinear loads leads to significant degradation of the energy quality. Thus the interconnection network is subject to being polluted by the generation of harmonic components and reactive power, which causes a weakening efficiency, especially for the power factor. This research treats the modeling of robust voltage-oriented control (VOC) for a shunt active power filter (SAPF). To sustain the DC-bus voltage, a fuzzy logic controller (FLC) based Mamdani algorithm is synthesized to ensure active power control. Besides, a robust PLL-based bandpass multivariate filter (BPMVF) is used to ameliorate the network voltage quality. Furthermore, a space vector modulation (SVM) is inserted. A unitary power factor and sinusoidal network current are supplied with no requirement for a PWM generator, and with fewer harmonics. Expanded simulation results obtained from the transient and steady-state have demonstrated high performance and have verified the effectiveness of the suggested power control. © 2023 IEEE.

关键词： Reactive power

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Towards Shielding 5G control Plane Functions 54

Towards Shielding 5G Control Plane Functions

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54th Annual IEEE/IFIP International conference on Dependable systems and networks (DSN)

作者： Maitra, Sudip Atalay, Tolga O. Stavrou, Angelos Wang, Haining Virginia Tech Dept Elect & Comp Engn Blacksburg VA 24061 USA Kryptowire LLC Mclean VA USA

ISBN: (纸本)9798350341065;9798350341058

network Functions Virtualization (NFV) enables flexible and scalable 5G core deployment but it also introduces new attack vectors into the mobile network ecosystem, especially when network functions are deployed on public cloud infrastructure. To address this issue, Third Generation Partnership Project (3GPP) standardization body recommends isolating critical 5G core functionalities inside Hardware Mediated Execution Enclaves (HMEEs). However, the use of HMEEs can incur debilitating QoS degradation in control plane functions including Authentication and Key Agreement (AKA) protocol. In this paper, we design and implement network slices with HMEE-enforced isolation for sensitive AKA functions and characterize their performance. Our findings reveal that the use of HMEE leads to 1.2 to 1.5x increase in function execution time and 2.2 to 2.9x increase in response time for the isolated containers. While appearing very large, this overhead is a small fraction of the end-to-end session setup latency. To evaluate the feasibility of HMEE, we use a real commercial User Equipment (UE) to register with the 5G core network through the isolated AKA functions. Finally, we discuss the role of HMEEs in addressing the key issues introduced by NFV.

关键词： 5G Core Security VNF Security HMEE SGX

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Comparing modified Yolo V5 and Faster Regional Convolutional Neural network performance for Recycle Waste Classification

Comparing modified Yolo V5 and Faster Regional Convolutional...

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IEEE International conference on Automatic control and Intelligent systems (I2CACIS)

作者： Hamzah, Raseeda Ang, Li Roslan, Rosniza Teo, Noor Hasimah Ibrahim Samad, Khairunnisa Abdul Abu Samah, Khyrina Airin Fariza Univ Teknol MARA UiTM Coll Comp Informat & Math Melaka Malaysia Jiujiang Vocat Univ Coll Informat Engn Jiujiang Jiangxi Peoples R China UiTM Cawangan Melaka Malaysia UiTM Fac Business Management Melaka Malaysia

ISBN: (纸本)9798350372113;9798350372106

Waste management research is becoming well-established all over the world. However, there are still improvements needed for developing countries in increasing the effectiveness of waste management. Effective waste management for developing countries is needed to reduce the environmental issues, which have a significant impact. An issue arising from the rise in insect population and diversity of pests is a digestive system problem. Insufficient recycling and waste management practices can have detrimental effects on economic development, resulting in air pollution and health issues. Implementing computer technology such as object recognition has the potential to be advantageous in the field of waste management. Deep learning is now the most widely used approach for object detection. We propose the integration of new modules of Coordinate Attention (CA) mechanism module, K- means++ algorithm and Cascade Shuffle Space to Depth in the Yolo Version 5 to improve the accuracy of the recognition performance. Through the experiments and comparison, the modified version of Yolo v5 perform better performance compared to conventional Yolo V5 and Faster RCNN.

关键词： Waste management Deep learning Yolo v5 Faster RCNN Modified YOLO v5

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A Power Method to Alleviate Over-smoothing for Recommendation 24

A Power Method to Alleviate Over-smoothing for Recommendatio...

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33rd ACM International conference on Information and Knowledge Management (CIKM)

作者： Zhou, Peng Cui, Yachao Cao, Han Shaanxi Normal Univ Xian Shaanxi Peoples R China

ISBN: (纸本)9798400704369

In recent years, graph convolution networks (GCNs) have been widely used in recommender systems due to high-order node information propagation and aggregation mechanisms. However, existing GCN-based recommender systems drop sharply in performance as the depth of the network increases. This phenomenon is called over-smoothing, which refers to the fact that the embeddings of all nodes become more similar and indistinguishable. Previous works have rarely explored over-smoothing from characteristics of the recommendation field. Specifically, we found experimentally that too many layers can lead to such large loss values that they are difficult to decrease. After theoretical analysis, we can effectively solve the problem of difficulty in decreasing the loss value by adding only a hyperparameter, called "power". This hyperparameter can effectively control the smoothness and alleviate the over-smoothing problem. Experiments on four public datasets demonstrate that this hyperparameter can effectively improve performance.

关键词： Graph Convolution network Recommendation systems Over-smoothing

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H∞ control for networked systems with Multi-Sensor Saturations and Stochastic Cyber-Attacks: A Decentralized Event-Triggered Scheme 14

H∞ Control for Networked Systems with Multi-Sensor Saturati...

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14th Asian control conference (ASCC)

作者： Feng, Zongying Qi, Wenhai Qufu Normal Univ Sch Engn Rizhao Peoples R China

ISBN: (纸本)9798331540845;9789887581598

This paper is devoted to study the decentralized event-triggered H-infinity control for networked systems with multi-sensor saturations and stochastic cyber-attacks. First, we provide a new decentralized event-triggered scheme to save limited network bandwidth, node energy and computation resources, which includes the conventional one. Second, a new closed-loop system model is established under decentralized event-triggered scheme, sensor saturations and stochastic cyber-attacks. Third, by Lyapunov-Krasovskii functional (LKF) method, a new H8 performance criterion is given. Based on the criterion, a novel controller design approach is derived. Finally, a numerical example is listed to verify the validity of derived result.

关键词： Decentralized control

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Integrated approach for dynamic economic/emission dispatch problem: multi-objective moth flame optimizer with transmission loss prediction using cascaded forward neural network

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ELECTRICAL ENGINEERING 2024年第3期106卷 3495-3528页

作者： Nalini, Nagulsamy Kumar, Chandrasekaran Vijayarajan, Periyasamy Chidambararaj, Natarajan M Kumarasamy Coll Engn Dept Elect & Elect Engn Karur Tamil Nadu India Karpagam Coll Engn Dept Elect & Elect Engn Coimbatore Tamil Nadu India Univ Coll Engn Dept Elect & Elect Engn BIT Campus Tiruchirappalli Tamil Nadu India St Josephs Coll Engn Dept Elect & Elect Engn Chennai Tamil Nadu India

This paper presents improved single- and multi-objective algorithms based on the original moth flame optimizer (MFO) to tackle the dynamic economic emission dispatch (DEED) problem that affects power systems operations. The DEED problem is a multi-objective optimization problem that is strongly constrained, multi-dimensional, nonlinear, and non-convex. It comprises several optimization criteria, many of which are in direct opposition to one another;therefore, no one solution is optimal with regard to all of those criteria. Firstly, an enhanced flame generation strategy is incorporated into the MFO algorithm to improve performance. Then, the improved MFO is combined with the crowding distance mechanism and non-dominated sorting framework to enhance the convergence rate and the quality of the results. This helps improve the convergence pace. Firstly, the proposed multi-objective moth flame optimizer (MOMFO) algorithm is validated using 15 ZDT and UF benchmark multi-objective test functions. Then, the nonlinear DEED problem is also solved by determining the feasible optimal solution using the MOMFO algorithm. The implementation of the MOMFO on 10-unit systems and the IEEE 30-bus test system is being done to display the ability to solve a nonlinear, non-convex, and constrained DEED optimization problem. The DEED problem is solved using the MOMFO algorithm and other state-of-the-art algorithms, such as the non-dominated sorting genetic algorithm-ii (NSGA-ii), the multi-objective teaching-learning-based optimization (MOTLBO) algorithm, and multi-objective reptile search algorithm (MORSA). The selection of the control parameters of the MOMFO can be decided from the algorithm's findings on different IEEE bus systems. This study also introduces a new technique for incorporating loss predictions using artificial neural networks into the DEED model. During each phase of the dispatch time, the trained neural network can make only a single forecast of the transmission loss. The

关键词： Crowding distance Economic load dispatch Emission dispatch Moth flame optimizer Multi-objective problem Non-dominated sorting

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Implementation and Evaluation of networked Model Predictive control System on Universal Robot 8

Implementation and Evaluation of Networked Model Predictive ...

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8th International conference on Robotics and Automation Engineering, ICRAE 2023

作者： Noroozi, Mahsa Wang, Kai Institute of Communications Technology Leibniz Universität Hannover Hanover Germany

ISBN: (纸本)9798350327656

networked control systems are closed-loop feedback control systems containing system components that may be distributed geographically in different locations and interconnected via a communication network such as the Internet. The quality of network communication is a crucial factor that significantly affects the performance of remote control. This is due to the fact that network uncertainties can occur in the transmission of packets in the forward and backward channels of the system. The two most significant among these uncertainties are network time delay and packet loss. To overcome these challenges, the networked predictive control system has been proposed to provide improved performance and robustness using predictive controllers and compensation strategies. In particular, the model predictive control method is well-suited as an advanced approach compared to conventional methods. In this paper, a networked model predictive control system consisting of a model predictive control method and compensation strategies is implemented to control and stabilize a robot arm as a physical system. In particular, this work aims to analyze the performance of the system under the influence of network time delay and packet loss. Using appropriate performance and robustness metrics, an in-depth investigation of the impacts of these network uncertainties is performed. Furthermore, the forward and backward channels of the network are examined in detail in this study. © 2023 IEEE.

关键词： Time delay

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Non-Affine Fault-Tolerant control for Multi Euler-Lagrange systems based on Adaptive Neural network 43

Non-Affine Fault-Tolerant Control for Multi Euler-Lagrange S...

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43rd Chinese control conference (CCC)

作者： Zhang, Shitong Cheng, Shuai Xin, Bin Wang, Qing Cheng, Junzhe Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China

ISBN: (纸本)9798350366907;9789887581581

This paper proposes an advanced control strategy that combines adaptive backstepping control with Radial Basis Function Neural network (RBFNN) to effectively handle nonlinear dynamics and uncertainties in Euler-Lagrange (EL) systems, particularly during actuator failure. The adaptive backstepping control provides flexibility for complex control problems, and RBFNN enhances adaptability to unknown faults. Compared to traditional linear fault models, the non-affine fault modeling method used here accurately captures the actual fault complexity. Considering the nonlinear relationship between faults and system states provides a realistic representation, crucial for precise controller adaptation to dynamic system characteristics and fault responses, improving overall control effectiveness and system robustness. To address the algebraic ring problem in the control law, a Butterworth low-pass filter (BLF) is employed, effectively reducing high-frequency oscillations and ensuring smooth and stable control signals. BLF prove effective in avoiding instability and performance degradation, particularly with non-affine fault models, significantly enhancing the control system's adaptability to complex fault scenarios.

关键词： adaptive control backstepping RBFNN non-affine fault Euler-Lagrange systems

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