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检索条件"任意字段=2023 6th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2023"

共 292 条记录，以下是21-30 订阅

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Research on Model Predictive control-Based Feedback Strategies for Autonomous Driving 6

Research on Model Predictive Control-Based Feedback Strategi...

引用

6th IEEE advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2024

作者： Li, Ting Xu, Xianxia Liu, Xuejuan Liu, Jie Guangxi Vocational Normal University School of Computer and Information Engineering Nanning China Key Laboratory of Application Technology of Intelligent Connected Vehicle Nanning China

ISBN: (纸本)9798350316520

To address the issues of control stability and safety in autonomous vehicles, this study focuses on research related to Model Predictive control (MPC) algorithms and algorithm optimization. By leveraging MPC control algorithms and system dynamics techniques, we have achieved stable autonomous driving. Simulation experiments based on Model Predictive control have been conducted to validate the feasibility and effectiveness of MPC algorithms for feedback control in autonomous driving. Two distinct simulation scenarios have been designed to verify the MPC algorithm's performance under different road conditions. the results indicate that the MPC algorithm effectively enhances the control stability and safety of autonomous driving vehicles. © 2024 IEEE.

关键词： Model predictive control

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Research on Safety Operation and Maintenance Management and Health Status Assessment for Lithium Battery Energy Storage System 6

Research on Safety Operation and Maintenance Management and ...

引用

2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Mao, Zhibin Cai, Jian Zhou, Kai Wang, Weili Luo, Dan Tang, Guizhong Quzhou Power Supply Company State Grid Zhejiang Electric Power Co. Ltd. Zhejiang Quzhou324000 China College of Electrical Engineering and Control Science Nanjing Tech University Nanjing Nanjing211816 China

the safe operation and maintenance of lithium batteries not only needs to monitor the working status of lithium batteries timely and accurately, but also needs to evaluate its health status and automatically switch the backup battery when safety hazards are found. However, research on the safe operation and maintenance of lithium batteries is still lacking. In light of this, this paper constructs a safe operation and maintenance mechanism by monitoring the voltage and surface temperature of the lithium battery. In addition, a novel online health assessment model based on GRU-CNN is proposed to find out the potential safety hazards of lithium batteries timely. the working voltage, current and ambient temperature are used as the input features of the model to predict the degradation of lithium batteries in advance. In addition, a security operation and maintenance controller is designed to quickly switch the backup battery pack when a lithium battery pack appears to have performance degradation or security risks. the system realizes the real-time monitoring of the safe operation of lithium batteries and the rapid assessment of health status, providing technical guarantees for the reliable, stable, and safe operation of the lithium battery system. the experimental comparison verified that the proposed assessment model of the status of health (SOH for short) has less prediction error. © Published under licence by IOP Publishing Ltd.

关键词： Lithium batteries

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Estimation of Minimum Miscibility Pressure in Impure/Pure N2Based Enhanced Oil Recovery Process: A Comparative Study of Statistical and Machine Learning algorithms 6

Estimation of Minimum Miscibility Pressure in Impure/Pure N2...

引用

6th international conference on Robotics, control and Automation engineering, RCAE 2023

作者： Zhu, Xiuli Damarla, Seshu Kumar Huang, Biao University of Shanghai for Science and Technology Department of Control Shanghai China University of Alberta Department of Chemical and Materials Engineering AB Canada

ISBN: (纸本)9798350315301

Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is carried out. these methods include weighted k-nearest neighbors, wavelet neural network, general regression neural network, extreme learning machine, regression trees (RTs), random forest, bagging RTs, boosting RTs and Gaussian process regression. Most of the predictive models developed in this study exhibited superior performance over predictive models reported in literature. © 2023 IEEE.

关键词： Nitrogen

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An Experimental Assessment of Predictive Current control Strategies for three-Phase Inverter 6

An Experimental Assessment of Predictive Current Control Str...

引用

6th international conference on Electrical Information and Communication Technology, EICT 2023

作者： Khan, Md. Ayaj Uddin Habibullah, Md. Khulna University of Engineering & Technology Dept. of Electrical and Electronic Engineering Khulna Bangladesh

ISBN: (纸本)9798350370836

this paper presents an empirical investigation of two current control methods for two-level inverter-fed RL loads: the conventional Finite-control-Set Predictive Current control (FCS-PCC) and a simplified FCS-PCC. the simplified PCC is considered to minimize the computational workload of the conventional PCC without sacrificing its control performance. However, the simplifying mechanism of the simplified PCC is dependent on the load parameters. Hence, an experimental analysis of the controller is required in terms of steady-state current tracking and current total harmonic distortion (thD) under load parameters variation. Experimental results show that both algorithms of PCC are load parameters dependent. Nevertheless, the simplified PCC is more sensitive to the load parameters variation than the conventional PCC. © 2023 IEEE.

关键词： Electric current control

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Dynamic Event-triggered control for Nonlinear PDE System with Actuator Dead-zone 6

Dynamic Event-triggered Control for Nonlinear PDE System wit...

引用

2023 6th international conference on advanced algorithms and control engineering, icaace 2023

作者： Mo, Fan Wu, Gui Fang School of Information Engineering Henan University of Science and Technology Henan Luoyang471023 China

A dynamic event-triggered network control scheme is proposed for a class of distributed parameter systems with time delay and nonlinearity. the security control of the PDE system under DOS attack based on dynamic event-triggered is studied. A dynamic event-triggered scheme is adopted to reduce the communication burden, that is, the sampling data will be sent only when the original trigger condition is violated. At the same time, a new model including denial of service attack (DOS) is established to describe the random network attack. When a hacker launches a DoS attack, it prevents the sampling data from reaching the destination by interfering with the network channel. DOS attacks follow no specific pattern and exhibit non-periodic behavior or irregular probability distribution. A mathematical model of a state-dependent uncertain system with an event-triggered scheme was established to study denial of service attacks. By using the Lyapunov-Krasocskii stability theory and linear matrix inequality tools, sufficient conditions were derived to ensure the index mean square stability of the state-dependent uncertain system. Based on this, sufficient conditions for the asymptotic stability of the closed-loop network control system and the expected performance index of the system were obtained. Numerical examples verified the feasibility of the method, and controller design validated the applicability of the theoretical results. © Published under licence by IOP Publishing Ltd.

关键词： Denial-of-service attack

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Deadbeat Internal Model control for Temperature of Electric Furnace 6

Deadbeat Internal Model Control for Temperature of Electric ...

引用

6th IEEE international conference on advanced Systems and Emergent Technologies, IC_ASET 2023

作者： Saidi, Imen Touati, Nahla Automatic Research Laboratory LARA University of Tunis El Manar National Engineering School of Tunis Tunisia University of Tunis Higher National Engineering School of Tunis Tunisia Esprit School of Engineering Tunisia

ISBN: (纸本)9798350321029

In this paper, a deadbeat internal model control structure is proposed. this structure is applied to control the temperature inside the electric furnace. the results of numerical simulations have shown the effectiveness of the proposed structure. the deadbeat internal model control has ensured good performance of the study system as compared to the classic internal model control. In fact, the temperature was stable, accurate and has a short response time with zero transients. © 2023 IEEE.

关键词： Electric furnaces

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A Robust control Technique for Pitch control of an Aeropendulum 6

A Robust Control Technique for Pitch Control of an Aeropendu...

引用

6th international conference on Robotics, control and Automation engineering, RCAE 2023

作者： Tanveer, M. Hassan Koduru, Charles Roy, Rupam Gupta Lakhekar, Girish V. Chun, Cary Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA30067 United States National Institute of Technology Department of Electronics and Instrumentation Engineering Agartala Barjala Jirania Tripura Agartala India College of Engineering Department of Instrumentation Engineering Maharashtra Pune India

ISBN: (纸本)9798350315301

Pitch control of an aviation system presents a plethora of control complications, such as nonlinear effects, parameter uncertainties, disturbances, etc. In the face of parametric uncertainties and disturbances, as well as communication limits in an auditory medium, it is difficult to create efficient control algorithms that can accomplish precise path-following tasks and effective resilient control actions. this paper presents the Second Order Sliding Mode control method for regulating the pitch angle in an aero-pendulum mechatronic system. the fundamental purpose of this study is to develop a reliable controller capable of minimising the system error between the regulated signal and the planned signal that corresponds to the pitch angle of the vehicle. By employing the proposed approach, both the prevalence of chattering and the control efficiency can be greatly improved. A comparison is given between the proposed model and the classical technique now in use, such as the classical Sliding Mode controller. © 2023 IEEE.

关键词： Sliding mode control

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Bipartite Consensus control for Fixed and Switching Multi-Agent Systems via State Feedback, Observer and Output Feedback 6

Bipartite Consensus Control for Fixed and Switching Multi-Ag...

引用

6th international conference on Intelligent Autonomous Systems, ICoIAS 2023

作者： Yao, Yao Zhang, Jie Wang, Jian-An College of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan030024 China

ISBN: (纸本)9798350371253

this paper studies the bipartite consensus problem of high-order linear leader-following multi-agent systems (MASs) under fixed and switching topologies. All followers are divided into two competitive subsets, where the followers in the same subset are cooperative. In different topological environment, we respectively design three different distributed controllers via state feedback, observer and output feedback to achieve the so-called bipartite consensus with the structural balanced condition. Finally, numerical examples are given to demonstrate the analytic results. © 2023 IEEE.

关键词： Multi agent systems

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Reinforcement Learning Scheduling Research for Edge Servers 6

Reinforcement Learning Scheduling Research for Edge Servers

引用

6th international conference on Computer Network, Electronic and Automation, ICCNEA 2023

作者： Han, Yonggui Wang, Zhongsheng Xi'an Technological University School of Computer Science and Engineering Xi'an710021 China Monitoring and Control xi'An Technological University State and Provincial Joint Engineering Lab. of Advanced Network Xi'an China

ISBN: (纸本)9798350305388

the rapid development of the Internet of things and big data has brought about massive amounts of data and the need for real-time responses, which traditional computing models can no longer meet. Edge computing comes into being, which pushes computing resources and services closer to the source of data generation so that data can be processed and analyzed closer to the user. the scheduling of siting strategies for edge servers is crucial for improving the performance of edge computing networks. Traditional scheduling methods for siting strategies are often based on rules or optimization algorithms, which lack adaptive and intelligent management of the network *** paper proposes a reinforcement learning DQN-based edge server siting policy scheduling method, which aims to achieve intelligent management and resource optimization of edge computing networks by learning the optimal policy. Experimental results show that the method has significant performance advantages in terms of delay, load balancing and energy consumption. the experiment adopts DQN algorithm, which is based on Q-learning and guides the agent to make decisions by optimizing Q-value function. In this paper, the reinforcement learning scheduling algorithm of edge server is studied and compared with other three algorithms. According to the experimental results, the proposed reinforcement learning scheduling algorithm reduces the delay by 7%, the energy consumption by 3%, and the load balancing by 20% compared with the other three algorithms. this shows that the algorithm has significant advantages in improving system performance. © 2023 IEEE.

关键词： Reinforcement learning

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advanced control of Wind Turbines connected to MMC-MTDC without Offshore DC Breaker 6

Advanced Control of Wind Turbines connected to MMC-MTDC with...

引用

6th IEEE international Electrical and Energy conference, CIEEC 2023

作者： Wu, Yue Zhou, Yuebin Yang, Shuangfei Xiong, Yan Miao, Shuohui Yu, Lujie Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China School of Electrical and Information Engineering Tianjin Univiersity Tianjin China

ISBN: (纸本)9798350346671

Multi-terminal high-voltage-direct-current based on modular-multilevel-converter (MMC-MTDC) is a proposing solution for the offshore wind power transmission. this paper investigates the operation of MTDC when the offshore AC breaker and DC switches are used to deal with the DC fault for the offshore side. An advanced control for the offshore wind turbine converters and MMC in the MTDC system, which achieves seamless transition between the grid-following mode and grid-forming mode without switching PLL, is proposed. the effectiveness of the proposed control is validated by PSCAD/EMTDC simulations. the results show that the offshore wind turbine converter and MMC can maintain stable operation after the fault and during the fault recovery. © 2023 IEEE.

关键词： Offshore wind farms

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