检索结果-内蒙古大学图书馆

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Li, Wen Pei, Hu-Cheng Qu, Guang-Zhou Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789819733316

In modern naval battlefields, the use of limited jamming resources by ships has become increasingly flexible and variable, which greatly increased the difficulty of unmanned aerial vehicle (UAV) radar countermeasures. In order to further improve the anti-jamming ability of UAV radar, radar also needs to find strategic countermeasures. From the perspective of tactical use, this paper combs the general use strategy of typical jamming in naval battlefields, studies the corresponding anti-jamming strategy of radar, focuses on the role of radar target selection strategy in anti-jamming and the current situation of the application of game theory in anti-jamming, and regards the game between radar and ship as a real-time strategic countermeasure problem, Thus, the development direction of radar intelligent anti-jamming is put forward. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

Memristor-based multi-synaptic spiking neuron circuit for spiking neural network

引用

Chinese Physics B 2022年第4期31卷 225-233页

作者： Wenwu Jiang Jie Li Hongbo Liu Xicong Qian Yuan Ge Lidan Wang Shukai Duan College of Artificial Intelligence Southwest UniversityChongqing 400715China National&Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400715China Brain-inspired Computing and Intelligent Control of Chongqing Key Laboratory Chongqing 400715China Chongqing Brain Science Collaborative Innovation Center Chongqing 400715China

Spiking neural networks(SNNs) are widely used in many fields because they work closer to biological ***,due to its computational complexity,many SNNs implementations are limited to computer ***,this paper proposes a multi-synaptic circuit(MSC) based on memristor,which realizes the multi-synapse connection between neurons and the multi-delay transmission of pulse *** synapse circuit participates in the calculation of the network while transmitting the pulse signal,and completes the complex calculations on the software with ***,a new spiking neuron circuit based on the leaky integrate-and-fire(LIF) model is designed in this *** amplitude and width of the pulse emitted by the spiking neuron circuit can be adjusted as *** combination of spiking neuron circuit and MSC forms the multi-synaptic spiking neuron(MSSN).The MSSN was simulated in PSPICE and the expected result was obtained,which verified the feasibility of the ***,a small SNN was designed based on the mathematical model of *** the SNN is trained and optimized,it obtains a good accuracy in the classification of the IRIS-dataset,which verifies the practicability of the design in the network.

关键词： memristor multi-synaptic circuit spiking neuron spiking neural network(SNN)

来源：评论

学校读者我要写书评

暂无评论

Containment control of Multiple Quadrotor Unmanned Aerial Vehicles Based on Model Transformation 13

Containment Control of Multiple Quadrotor Unmanned Aerial Ve...

引用

13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Chen, Pengfei Yang, Chunxi Zhang, Faxiang Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Yunnan650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China

ISBN: (纸本)9798350361674

This paper investigates the containment control problem of a class of quadrotor unmanned aerial vehicle (QUAV) systems under directed topologies. Firstly, an integral chain model with unknown control directions is constructed by iteratively differentiating the system output. At the same time, a low-pass filter is introduced to transform the original system into a new system, avoiding the problem of unknown control direction. Then, a distributed containment control law is designed by using the dynamic surface control method, which ensures that the trajectories of the followers converge within the convex spanned by the leaders. The closed-loop system is also proved to be uniformly ultimately bounded (UUB) based on Lyapunov stability theory. Finally, simulation results show the effectiveness of the proposed control scheme. © 2024 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Ship Size Attribute Reconstruction Method Based on Multi-aircraft Collaborative Detection 7th

Ship Size Attribute Reconstruction Method Based on Multi-air...

引用

7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Xiaozu, Li Qingxi, Chi Peng, Jiang Mengmeng, Han Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Beijing Electro-Mechanical Engineering Institute Beijing100074 China

ISBN: (纸本)9789819733316

For mixed-ship scenarios, traditional aircraft have limited ability to extract ship features due to the constraints of observation angles, making it difficult to effectively select the high-value ship targets. In this paper, a ship length and width reconstruction method adaptable to multi-aircraft cooperative detection is proposed, taking dual-aircraft radar cooperative detection as the research object. Under the premise of known heading, a ship size reconstruction model is established by combining the radial size information from different observation directions. Finally, the performance of the model under different detection conditions is analyzed. Simulation verification shows that the maximum length reconstruction error does not exceed 7.56% of the true length of the target, which can effectively restore the target size information and provide necessary support for effectively solving the problem of the high-value ship targets selection in mixed scenes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Ships

来源：评论

学校读者我要写书评

暂无评论

Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1309-1320页

作者： Li, Weihao Shi, Lei Shi, Mengji Yue, Jiangfeng Lin, Boxian Qin, Kaiyu University of Electronic Science and Technology of China School of Aeronautics and Astronautics Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Henan University School of Artificial Intelligence Zhengzhou450046 China

Inspired by the group phenomenon of biological populations in nature, swarm intelligence has been derived and has further advanced the research of coordinated control of networked agent systems (NASs). With this in mind, this article delves into the problem of secure synchronous tracking control for high-order NASs subject to antagonistic interactions, particularly under the threat of denial-of-service (DoS) attacks. First, a novel distributed secure control scheme is crafted to address the complex dynamics of NASs that encompass both cooperative and antagonistic interactions among agents. This scheme is pivotal as it enables follower agents to synchronize their tracking with the leader agent, even amidst the disruptive influence of DoS attacks, transcending the conventional bipartite tracking consensus approach. Subsequently, a dynamic, time-varying closed-loop system is generated, which is intrinsically linked to the intermittent nature of DoS attacks, characterized by periods of dormancy and activity. Based on the infinite matrix product convergence analysis method, some essential algebraic conditions are formulated, which hinge on the parameters of DoS attacks, the underlying network structure, and the gain of the controller. These conditions are critical for guaranteeing the attainment of robust synchronous tracking. Finally, some numerical simulation examples are provided to verify the effectiveness of the proposed secure synchronous tracking control scheme for high-order NASs with signed networks. That is, all followers are able to achieve synchronous tracking of the leader when the corresponding topology, as well as control parameter conditions, are satisfied, and the opposite is not possible. © 2020 IEEE.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

Consensus Tracking Data-Driven control of Multi-Agent Systems based on Matrix S-Lemma under Noisy Data 13

Consensus Tracking Data-Driven Control of Multi-Agent System...

引用

13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Tan, Shuli Zhang, Xiufeng Yang, Chunxi Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Kunming China Yunnan Key Laboratory of Intelligent Control and Application Yunnan Kunming650504 China

ISBN: (纸本)9798350361674

In this paper, the problem of consensus tracking for multi-agent systems in the presence of noise inter-ference is investigated. Unlike the traditional model-based approach, this paper assumes that the dynamics of all agents are unknown and only a portion of the input-state data is available. The offline data contaminated with noise interference is utilized. By introducing the matrix S-lemma, a necessary and sufficient conditions for directly designing consensus tracking controllers from bounded noisy input-state data is given. This method can be applied to large datasets and effectively addresses computational challenges associated with extensive data. Simulation result illustrates the effectiveness of the theoretical analysis. © 2024 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Optical performance monitoring of mode division multiplexing signal based on multi-task convolutional neural network 7

Optical performance monitoring of mode division multiplexing...

引用

7th Optics Young Scientist Summit, OYSS 2024

作者： He, Ting Chang, Huan Gao, Ran Wang, Fei Guo, Dong Beijing Institute of Technology No.5 Zhongguancun South Street Haidian District Beijing100081 China National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China

ISBN: (数字)9781510688377

ISBN: (纸本)9781510688360

Mode division multiplexing (MDM) optical fiber communication technology enhances bandwidth utilization and communication capacity to address the increasing demand for high-capacity data transmission in the era of rapid network traffic growth. For MDM optical fiber communication systems affected by various impairments, optical performance monitoring (OPM) can effectively characterize the impairments in received optical signals, directly reflecting the transmission signal state and channel conditions, and help ensure efficient and stable network operation. In this paper, we propose a multi-task convolutional neural network (MT-CNN) aided OPM method for MDM signals. The proposed MTCNN combines convolutional neural networks and a multi-task learning framework to extract the transmission link information and predict the optical signal-to-noise ratio (OSNR) of few-mode channels synchronously. Simulation results show that the proposed MT-CNN-based OPM scheme can achieve accurate OSNR performance evaluation for MDM fiber transmission signals. © 2025 SPIE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A control Method for Coal Slime Water Thickening Process in Coal Preparation Plants Based on BP-TSFNN

A Control Method for Coal Slime Water Thickening Process in ...

引用

2024 China Automation Congress, CAC 2024

作者： Fu, Shangluo Zhou, Fan Zhao, Jun Wang, Wei Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education China School of Control Science and Engineering Dalian University of Technology Dalian China School of Information Science and Engineering Dalian Polytechnic University Dalian China

ISBN: (纸本)9798350368604

Aiming at the complex mechanism of coal slime water thickening process in coal preparation plant, which has the characteristics of multivariable and strong nonlinearity leading to the difficulty of realizing the intelligent optimization control, a model predictive control method based on back propagation neural network (BPNN) and Takagi-Sugeno fuzzy neural network (TSFNN) cascade (BP-TSFNN-MPC) is proposed. Further, in order to realize the intelligent optimization control of the thickening process, the BP-TSFNN-MPC controller is constructed, and the gradient descent optimization algorithm is used to solve the optimization problem. In the experimental part, the effectiveness of the model and control method is verified by combining the production data of the slime water concentration process and the simulation model of the thickener. The results show that the BP-TSFNN model has high prediction accuracy for the concentration process and BP-TSFNN-MPC has good control performance. © 2024 IEEE.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

A Scene Matching Backtracking Location Method Based on Convergence Criterion 11th

A Scene Matching Backtracking Location Method Based on Conve...

引用

11th China Conference on Command and control, C2 2023

作者： Peng, Siting Jun, Ren lei, Li Ma, Yichao Yang, Yanjiao Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819990207

In this paper, the engineering problems in scene matching positioning system are studied, according to the scene matching positioning of satellite under the condition of denial, establish a volume of physical model, kalman filtering method of indirect filtering residual envelope method is adopted to improve the mismatching points out and jumping back and forth, filtering results using backtracking method to solve the problem of less The precise positioning of the aircraft's own position under the condition of satellite rejection is realized, so as to achieve accurate guidance and strike to the target. The simulation results show that the method described in this paper is effective and has good academic and engineering significance. © Chinese Institute of Command and control 2024.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Active Disturbance Rejection Gain Scheduling control of Hypersonic Vehicle Based on Guardian Maps 13

Active Disturbance Rejection Gain Scheduling Control of Hype...

引用

13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Zhang, Tingyu Wang, Yongshuai Sun, Mingwei Hao, Mingrui Chen, Zengqiang College of Artificial Intelligence Nankai University Tianjin300350 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9798350361674

This paper presented an adaptive gain scheduling algorithm for hypersonic vehicles with wide envelopes. First, the linear parameter variable parameter (LPV) model of hypersonic vehicles is established in the flight envelope. Then, the active disturbance rejection controller is considered to cope with disturbances and uncertainties, and the control gain is scheduled using the guardian maps method to adapt to the wide envelope of velocity and height. Finally, numerical simulation results show good control performance and meet the required performance indexes in all operating conditions, demonstrating the effectiveness and robustness of the proposed method. © 2024 IEEE.

关键词： Disturbance rejection

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：