检索结果-内蒙古大学图书馆

Zero-sum game-based formation control for multi-USVs under hybrid irregular output constraints

nonlinear Dynamics 2025年 1-15页

作者： Tang, Daocheng Pang, Ning Wang, Xin Lei, Yan Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Westa Southwest University Chongqing400715 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400044 China

This article investigates the finite-time leader-following formation control (LFC) problem for multiple unmanned surface vehicles (USVs) subject to disturbances and hybrid irregular (HI) output constraints. Here, the HI output constraint refers to a generalized output constraint that alternates irregularly among unilateral (only upper or lower) constraints, bilateral (both upper and lower) constraints, and free-constraint over time. To handle HI output constraints in multi-USV scenarios, a novel barrier function (BF) is proposed to uniformly transform both bilateral and unilateral constrained systems into unconstrained ones for controller designs. Subsequently, a zero-sum game (ZSG)-based controller is developed for multi-USVs to guarantee robust optimal control (ROC) against the worst-case disturbance without extra anti-disturbance module designs. Furthermore, the identifier-actor-critic reinforcement learning (IAC-RL) framework is designed in the ZSG-based control scheme, where the identifier, critic, and actor are utilized to estimate unknown system dynamics, evaluate system performance, and implement control policy, respectively. Finally, the effectiveness of the proposed control scheme is demonstrated through simulations of the multi-USV model. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.

关键词： Robust control

来源：评论

学校读者我要写书评

暂无评论

Distributed Fixed-Time Dynamic Event-Triggered Algorithm for Economic Dispatch in Smart Grids Over Directed Networks

IEEE Transactions on Industrial Cyber-Physical Systems

引用

IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 173-180页

作者： Ji, Lianghao Liu, Qi Zhang, Cuijuan Yang, Shasha Li, Huaqing Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Image Cognition Chongqing400065 China Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China

A fresh algorithm is presented for tackling the economic dispatch problem (EDP) in smart grids with directed network topology. This algorithm is based on distributed consensus and aims to minimize the total cost of power generation while maintaining the balance between power supply and demand and complying with generation capacity restrictions. Even with unknown and bounded disturbances, this algorithm can achieve optimal dispatch within a fixed time. In addition, an expected settling time can be calculated, which is a more accurate upper bound estimation that relies solely on the generators' initial conditions. Meanwhile, the dynamic event-triggered strategy is employed for reducing sampling frequency and network resource consumption. Finally, numerical simulations validate the effectiveness of the designed algorithm. © 2024 IEEE.

关键词： Consensus algorithm

来源：评论

学校读者我要写书评

暂无评论

Distributed Fixed-Time Algorithms for Time-Varying Constrained Optimization Problems

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年

作者： He, Xing Li, Yue Zhang, Meng Huang, Tingwen Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

In this paper, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed algorithms possess better privacy and scalability. This paper initially proposes a centralized time-varying optimisation algorithm with fixed-time convergence and certain robustness, which is based on the integration-enhanced zeroing neural network. Subsequently, the algorithm is enhanced, and two distributed algorithms are designed separately. Both of these two algorithms have a fixed convergence time and certain robustness. Additionally, this paper utilizes the penalty function approach to handle time-varying optimization problems with inequality constraints, thereby making the algorithm more widely applicable. The effectiveness of the algorithm is verified through several numerical examples, and the applicability of the algorithm is demonstrated by solving the package-level state-of-charge balancing problem. © 2020 IEEE.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

Robust Deep Matrix Factorization with Low-rank and Hypergraph Learning for Multi-view Data processing

引用

IEEE Transactions on Consumer Electronics 2025年

作者： Pan, Baicheng Che, Hangjun Li, Chenglu Li, Hongfei Southwest University College of Electronic and Information Engineering Chongqing400715 China Hong Kong Baptist University Department of Mathematics Kowloon Tong Hong Kong Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China

As the advancement of sensing technology and cyber-physical equipment, the complexity and dimensionality of the data from consumer internet of things have increased dramatically. processing the complex and multi-view data to analyze the consumption characteristics becomes a significant issue. Deep matrix factorization (DMF) is a widely spread method with the ability to learn intrinsic components in data based on its multiple-layers structures. However, the multiple-layers structures may magnify noises in data and the standard DMF cannot reflect the manifold and low-rank structures on the coefficient matrix well. In the paper, a robust deep matrix factorization with low-rank and hypergraph learning (RDMFLRH) model is proposed for multi-view data processing. Firstly, an arc tangent loss function with less sensitivity to noises and outlines is introduced to enhance robustness. Additionally, low-rank and hypergraph learning are adopted to extract the relationships between clusters and maintain the binary manifold structures from the original space. Then, an optimization algorithm based on the multiplicative update rule is developed to solve the proposed model with convergence proven theoretically and experimentally. Finally, abundant experiments on real-world and noisy datasets validate the superiority of the proposed method, improving around 1% to 10% performance compared with the comparison state-of-the-art methods. © 1975-2011 IEEE.

关键词： Matrix factorization

来源：评论

学校读者我要写书评

暂无评论

Secrecy outage analysis for underlay cognitive radio networks over correlated channels

引用

Science China(information Sciences) 2017年第2期60卷 107-115页

作者： Jiliang ZHANG Hui ZHAO Gaofeng PAN Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University

This paper investigates the secrecy outage performance of underlay cognitive radio networks, in which a source in a secondary system transmits its confidential information to a legitimate destination in the presence of an eavesdropper. Specifically, the main(the source-to-destination) and eavesdropping(the sourceto-eavesdropper) channels are assumed to be correlated. Moreover, it is also assumed that the main channel and the channel from the source to the primary user's receiver are correlated. Tight closed-form analytical expression for secrecy outage probability and the closed-form analytical expression for the probability of non-zero secrecy capacity are derived and validated by simulation results when the interference temperature limit is comparably large.

关键词： cognitive radio networks correlated fading channels probability of non-zero secrecy capacity secrecy outage probability

来源：评论

学校读者我要写书评

暂无评论

A Fully Distributed Approach to Optimal Energy Scheduling of Users and Generators Considering a Novel Combined Neurodynamic Algorithm in Smart Grid

引用

IEEE/CAA Journal of Automatica Sinica 2021年第7期8卷 1325-1335页

作者： Chentao Xu Xing He the Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information EngineeringSouthwest UniversityChongqing 400715China

A fully distributed microgrid system model is presented in this *** the user side,two types of load and plug-in electric vehicles are considered to schedule energy for more *** charging and discharging states of the electric vehicles are represented by the zero-one variables with more *** solve the nonconvex optimization problem of the users,a novel neurodynamic algorithm which combines the neural network algorithm with the differential evolution algorithm is designed and its convergence speed is faster.A distributed algorithm with a new approach to deal with the inequality constraints is used to solve the convex optimization problem of the generators which can protect their *** results and comparative experiments show that the model and algorithms are effective.

关键词： Differential evolution algorithm distributed algorithm electric vehicle neural network zero-one variable.

来源：评论

学校读者我要写书评

暂无评论

Some characteristics of logistic map over the finite field

引用

Science China(information Sciences) 2019年第3期62卷 199-201页

作者： Bo YANG Xiaofeng LIAO Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University

Dear editor,Chaotic maps have good characteristics, which include randomness, sensitivity to the initial value,and unpredictability. Hence, there have been many attempts to discuss the dynamic behavior of chaotic maps... 详细信息

关键词： Some characteristics of logistic map over the finite field

来源：评论

学校读者我要写书评

暂无评论

Physical-layer secrecy outage of spectrum sharing CR systems over fading channels

引用

Science China(information Sciences) 2016年第10期59卷 112-120页

作者： Hequn LIU Hui ZHAO Hong JIANG Chaoqing TANG Gaofeng PAN Tingting LI Yunfei CHEN Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University School of Mathematics and Statistics Southwest University School of Engineering University of Warwick

In this paper, we investigate the physical-layer secrecy outage performance of underlay spectrum sharing systems over Rayleigh and log-normal fading channels in the presence of one eavesdropper. In particular, the secondary transmitter sends data to the legitimate receiver under the constraints of the interference temperature at the primary receiver, while suffering the wiretap from the eavesdropper. Closed-form and approximated expressions are derived for the secrecy outage probability over Rayleigh and log-normal fading channels,respectively. The accuracy of our performance analysis is verified by simulation results.

关键词： spectrum sharing cognitive radio secrecy outage probability Rayleigh fading channels log-normal fading channels

来源：评论

学校读者我要写书评

暂无评论

Robust variable normalization least mean p-power algorithm

引用

Science China(information Sciences) 2020年第9期63卷 294-302页

作者： Kui XIONG Yu ZHANG Shiyuan WANG College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Faculty of Computer and Information Science Southwest University

Dear editor,Adaptive filtering algorithms have been widely applied in system identification, channel equalization, and echo cancellation over the past decades [1–3]. Generally, adaptive filtering algorithms can be ge... 详细信息

关键词： Least mean p-power algorithm variable normalization sigmoid function steady-state performance analysis noise robustness

来源：评论

学校读者我要写书评

暂无评论

Application of multiple two-dimensional interpolation methods to bathymetric data on the FVCOM unstructured triangular grid

引用

Applied Mathematics and Computation 2025年 507卷

作者： Zongli Ruan Guobing Qian Yiwei Wang Jia Xiao College of Science China University of Petroleum (East China) Qingdao 266580 PR China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing 400715 PR China

In general, the ocean bathymetric dataset is defined on a uniform rectangular grid, whereas FVCOM employs an unstructured triangular grid. Consequently, it is necessary to interpolate the data from the nodes of the rectangular grid onto those of the triangular grid. The nearest neighbor method, bilinear method, and inverse distance weighting (IDW) method are three commonly utilized two-dimensional interpolation techniques, and inverse distance weighted regression (IDWR) represents a more recent interpolation approach. In this study, these methods were applied to interpolate the bathymetric data of the Hormuz Strait and the North Indian Ocean onto the FVCOM triangular grid. The experimental results demonstrate that a very small error in the interpolation of bathymetric data was achieved. Additionally, these methods were compared with the interpolation techniques provided by the MATLAB system. The comparative analysis reveals that the bilinear method can achieve a superior interpolation effect compared to the other three methods.

关键词：

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：