检索结果-内蒙古大学图书馆

Exponential synchronisation of nonlinear multi-agent systems via distributed self-triggered hybrid control with virtual linked agents

引用

INTERNATIONAL JOURNAL OF CONTROL 2022年第12期95卷 3241-3251页

作者： Li, Yi Li, Chuandong You, Le He, Zhilong Li, Hongfei Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Peking Univ Coll Engn Beijing Peoples R China

In this paper, exponential synchronisation of nonlinear multi-agent systems with K agents by distributed self-triggered hybrid control and virtual link mechanism is investigated. Based on the Lyapunov function and linear matrix inequalities, some synchronisation conditions are provided. Because of using the virtual link, the system can be divided into two subsystems, real link subsystem and virtual link subsystem. They can be synchronised with the desired dynamical behaviours by using the same self-triggered hybrid control. Hence, the original dimension (K) of synchronisation conditions can be reduced to [K/2] (K/2 round up). Finally, a simulation example is given to demonstrate the performance of the proposed approaches.

关键词： Exponential synchronisation linear matrix inequalities nonlinear multi-agent system self-triggered hybrid control virtual link

来源：评论

学校读者我要写书评

暂无评论

Complex-Valued Random Fourier Geometric Algebra Adaptive Filtering

引用

IEEE TRANSACTIONS ON circuits AND SYSTEMS II-EXPRESS BRIEFS 2022年第4期69卷 2346-2350页

作者： Huang, Gangyi Shen, Minglin Lin, Dongyuan Qi, Letian Qian, Junhui Wang, Shiyuan Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China Chongqing Univ Chongqing Key Lab Biopercept & Intelligent Inform Chongqing 400044 Peoples R China

The complex-valued fixed dimensional adaptive filters (CFDAFs) can improve the performance and computational efficiency of complex-valued kernel adaptive filters (CKAFs), but have the challenge of over-coupling for the real and imaginary parts of complex-valued signals. To this end, this brief proposes a novel fixed dimensional adaptive filter for complex-valued signals named complex-valued random Fourier geometric algebra least mean square (CRFGALMS). On the basis of the framework of geometric algebraic adaptive filtering, the real and imaginary parts of complex-valued signals are mapped into random Fourier features space (RFFS) to improve the efficiency of the nonlinear mapping for complex-valued signals, respectively. The proposed random Fourier feature mapping based on the geometric algebra is endowed with superior presentation abilities in complex-valued domain as it can decouple the nonlinear mapping of the real and imaginary parts of complex-valued signals, efficiently. Simulations on nonlinear channel equalization are used to illustrate the superiority of the proposed CRFGALMS algorithm in terms of dimensionality and filtering performance.

关键词： Algebra Adaptive systems Kernel Blades Transforms Radial basis function networks information processing Fixed dimensional adaptive filter complex-valued signals geometric algebra random fourier features mapping

来源：评论

学校读者我要写书评

暂无评论

Complex-Valued Adaptive Filtering Based on the Random Fourier Features Method

引用

IEEE TRANSACTIONS ON circuits AND SYSTEMS II-EXPRESS BRIEFS 2020年第10期67卷 2284-2288页

作者： Xiong, Kui Zhang, Yu Wang, Shiyuan Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Southwest Univ Fac Comp & Informat Sci Chongqing 400715 Peoples R China

The complex kernel adaptive filters (CKAFs) developed in complex reproducing kernel Hilbert space (RKHS) improve the performance of complex linear adaptive filters, but result in large burdens of computation and memory. To address these issues, a novel complex random Fourier features mapping (CRFFM) is proposed to approximate the kernel-induced mapping by applying the complexification of real RKHSs, and thus projects the complex-valued data from the original data space into the fixed-dimensional complex random Fourier features space (RFFS). To combat complex-valued non-Gaussian noises, a complex Cauchy loss function is presented, and the complex random Fourier features recursive complex Cauchy (CRFFRCC) algorithm is therefore proposed by the combination of CRFFM and the stochastic recursive method. The proposed CRFFRCC with a linear filter structure can reduce the computational and space complexities of CKAFs, significantly. Monte Carlo simulations conducted in the complex-valued nonlinear channel equalization validate the superiorities of CRFFRCC.

关键词： Kernel Signal processing algorithms Complexity theory Adaptive systems Probability density function Filtering Complex kernel adaptive filter random Fourier features complex Cauchy loss recursive method complexity

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive filtering with variable risk-sensitive parameter and kernel width

引用

ELECTRONICS LETTERS 2020年第15期56卷 791-792页

作者： Liu, Yingzhi Dong, Fei Yu, Xin Qian, Guobing Wang, Shiyuan Southwest Univ Westa Coll Chongqing Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing Peoples R China

Similarity measures play a significant role in adaptive filtering. Previous work such as correntropy and kernel risk-sensitive loss (KRSL), has successfully improved the technology of adaptive filtering in terms of robustness against outliers, fast convergence speed and high filtering accuracy. Based on KRSL, a newly raised similarity measure, complex KRSL (CKRSL), was proposed by extending KRSL to the complex domain. It successfully gains superior performance than other similarity measures in adaptive filtering algorithms. However, the minimum CKRSL (MCKRSL) algorithm may result in poor performance when the parameters are not properly chosen. In this Letter, an adaptive parameter selection is proposed to help the MCKRSL algorithm improve performance while overcoming the uncertainty in artificial selection. The proposed MCKRSL with variable parameters (MCKRSL-VP) algorithm updates the risk-sensitive parameter and kernel width by making the iteratively squared bias as small as possible. A moving average scheme is further used to smoothly update the risk-sensitive parameter and kernel width. Finally, the authors verify that MCKRSL-VP performs better than other algorithms by simulations.

关键词： adaptive filters estimation theory iterative methods mean square error methods adaptive parameter selection kernel width robust adaptive filtering variable risk-sensitive parameter correntropy kernel risk-sensitive loss similarity measure complex KRSL minimum CKRSL algorithm MCKRSL-VP KRSL

来源：评论

学校读者我要写书评

暂无评论

Distributed Primal-Dual Algorithms for Stochastic Generalized Nash Equilibrium Seeking Under Full and Partial-Decision information

引用

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS 2023年第2期10卷 718-730页

作者： Zheng, Lifeng Li, Huaqing Ran, Liang Gao, Lan Xia, Dawen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China Beihang Univ Hangzhou Innovat Inst Hangzhou 310051 Peoples R China Guizhou Minzu Univ Coll Data Sci & Informat Engn Guiyang 550025 Peoples R China

Motivated by practical applications involving randomness, e.g., the power market model, the transportation model, and the signal transmission model, this article investigates the stochastic generalized Nash equilibrium (SGNE) problem where the cost function of each player is influenced by a stochastic variable. Employing the operator splitting technique, stochastic approximation scheme, and variance reduction scheme, this article develops a distributed primal-dual algorithm with full-decision information for seeking the SGNE, in which a fully connected interference graph is used for transmitting information among players. Considering the case that players cannot know all other players' decisions, a distributed primal-dual algorithm with partial-decision information is proposed by introducing a local estimation to approximate the decision information of other players. It is proved that both algorithms converge to an SGNE provided that the uncoordinated fixed step sizes are less than the given upper bounds. Compared with existing algorithms, the algorithm with partial-decision information does not need the global game information. Each player is only required to know its local cost function, local feasible set, and a local block of the affine constraint, and share information with its neighbors. Numerical simulations are given for the networked Cournot competition and autonomous energy-management system to show the algorithm efficiency and performance.

关键词： Distributed algorithm operator splitting stochastic generalized Nash equilibrium (SGNE) variational inequalities

来源：评论

学校读者我要写书评

暂无评论

An Edge-based Distributed Algorithm for Economic Dispatch in Power Systems 16

An Edge-based Distributed Algorithm for Economic Dispatch in...

引用

16th IEEE International Conference on Control and Automation (ICCA)

作者： Zheng, Lifeng Du, Zhenyuan Li, Huaqing Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China

ISBN: (纸本)9781728190938

This paper proposes an edge-based distributed primal-dual algorithm for economic dispatch problem (EDP), in which a collection of networked generators cooperatively minimizes the sum of all local cost functions while satisfying some coupling constraints. Different from the existing results, this paper applies the techniques, such as the factorization of weighted Laplacian and the spectral decomposition, to prove the convergence of the proposed algorithm. It proves that the proposed distributed algorithm converges provided that the step-size is positive and lower than an exact upper bound. Strong convexity of each local cost function and Lipschitz continuity of its gradient are employed to ensure a linear convergence rate of the proposed algorithm. Finally, two numerical simulations are presented to show the performance of the proposed algorithm.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Finite-Time Synchronization of Neural Networks With Proportional Delays for RGB-D Image Protection

引用

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年第6期35卷 8149-8160页

作者： Yang, Wenqiang Huang, Junjian He, Xing Wen, Shiping Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China Univ Technol Sydney Australian AI Inst Fac Engn & Informat Technol Sydney NSW 2007 Australia Texas A&M Univ Qatar Sci Program Doha Qatar

Since the depth information of images facilitates the analysis of the spatial distance of objects in computer vision applications, it is necessary to protect the image depth information. Thus this article proposes a novel red-green-blue-depth (RGB-D) image protection algorithm, which is implemented with the finite-time synchronization (FTS) of neural networks (NNs) with proportional delays via the quantized intermittent control to derive the system synchronization criterion based on Lyapunov stability theory. The performance of RGB-D image protection depends on the synchronization error of the system by driving the system sequence to encrypt the RGB-D image and responding to the system sequence to decrypt the encrypted image. Subsequently, the validity of the proposed criteria is verified by simulation examples, and the practical application of RGB-D image protection is verified.

关键词： Finite-time synchronization (FTS) image protection proportional delay quantized intermittent controller red-green-blue-depth (RGB-D)

来源：评论

学校读者我要写书评

暂无评论

A Novel Distributed Algorithm to Seek GNE for Aggregative Games via Primal-Dual Proximal Gradient 9

A Novel Distributed Algorithm to Seek GNE for Aggregative Ga...

引用

9th International Conference on Control, Automation and Robotics (ICCAR)

作者： Li, Zhe Li, Huaqing Ran, Liang Li, Songyang Fan, Lvming Zheng, Lifeng Li, Jun Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China

ISBN: (纸本)9798350322514

In this paper, the generalized Nash equilibria (GNE) problems over the aggregative game is concerned inspired by the widely application of non-cooperative game in many fields. In the game, each agent aims to minimize its own objective function that depends on both its private decision and the average decision information of all agents'. Furthermore, decision variables are within feasible decision sets and shares a global coupling inequality constraint. To seek the GNE, a novel distributed primal-dual proximal algorithm is proposed. Meanwhile, the proposed algorithm adopts edge-based communication model and takes uncoordinated step-sizes that avoid the conservativeness. By the theories of monotone inclusion and averaged operators, convergence of the algorithm is proved. Finally, numerical studies on electric vehicles path and destination strategy problem are conducted to clarify the efficiency of the proposed algorithm.

关键词： Aggregative game Generalized Nash equilibria (GNE) distributed primal-dual proximal gradient algorithm edge-based consensus

来源：评论

学校读者我要写书评

暂无评论

Fixed-Point Widely Linear MCCC for Bias-Compensated Adaptive Filtering

引用

circuits SYSTEMS AND SIGNAL PROCESSING 2023年第5期42卷 2959-2985页

作者： Qiu, Chen Ruan, Zongli Qian, Guobing Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Sichuan Peoples R China China Univ Petro East China Sch Sci Qingdao Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing Peoples R China

Recently, the widely linear complex-valued estimated-input adaptive filter (WLC-EIAF) used in processing noisy inputs and outputs has received increasing attention in machine learning and signal processing. In this paper, a fixed-point widely linear complex-valued estimated-input maximum complex correntropy criterion (FPWLC-EIMCCC) algorithm is proposed to deal with noncircular complex signals with noise in input and output. Compared with the existing algorithms, benefiting from the fixed-point method, the proposed FPWLC-EIMCCC can simultaneously have better steady-state performance and faster convergence speed. Furthermore, the theoretical analysis of the FPWLC-EIMCCC is performed by transforming FPWLC-EIMCCC into a gradient-like version based on the matrix inverse lemma and some approximations. Simulation results on system identification, channel estimation, and wind prediction show that FPWLC-EIMCCC significantly improves the filtering performance.

关键词： Maximum complex correntropy criterion Fixed point Widely linear Bias compensated Estimated input

来源：评论

学校读者我要写书评

暂无评论

Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks

引用

NEURAL NETWORKS 2018年 98卷 203-211页

作者： Li, Hongfei Li, Chuandong Huang, Tingwen Zhang, Wanli Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China Texas A&M Univ Qatar Dept Math Doha Qatar

This article is concerned with the fixed-time stabilization for impulsive Cohen-Grossberg BAM neural networks via two different controllers. By using a novel constructive approach based on some comparison techniques for differential inequalities, an improvement theorem of fixed-time stability for impulsive dynamical systems is established. In addition, based on the fixed-time stability theorem of impulsive dynamical systems, two different control protocols are designed to ensure the fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks, which include and extend the earlier works. Finally, two simulations examples are provided to illustrate the validity of the proposed theoretical results. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Cohen-Grossberg neural networks Impulses Fixed-time stability Stabilization BAM neural networks

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：