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Self-Triggered Consensus-Based Strategy for Economic Dispatch in Uncertain Communication Networks

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2024年第6期11卷 6652-6663页

作者： Ji, Lianghao Dou, Yuhe Zhang, Cuijuan Li, Huaqing Chongqing Univ Posts & Telecommun Chongqing Key Lab Image Cognit Chongqing 400065 Peoples R China Chongqing Univ Posts & Telecommun Sch Comp Sci & Technol Chongqing 400065 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China

The communication networks of smart grids are often influenced by ubiquitous uncertainty. These uncertainties can directly influence the communication weights between generating units, consequently degrading the performance of economic dispatch (ED) algorithms. Despite this, much of the related work has been centered on ideal communication channels, thereby overlooking the impact of communication uncertainties. Consequently, this paper primarily delves into the economic dispatch problem (EDP) in smart grids with uncertain communication networks. Initially, we propose an adaptive algorithm grounded on an event-triggered strategy. This algorithm can effectively offset the communication uncertainties within a predefined upper limit, thereby facilitating optimal power allocation. Subsequently, we introduced a new self-triggered strategy. This strategy eliminates the need for continuous monitoring of neighboring statuses, leading to a reduction in controller updates and message transmissions, without negatively affecting the system's convergence performance. However, the effectiveness of the self-triggered strategy might be influenced by the accuracy of generator predictions. Finally, simulations demonstrate that the proposed approach effectively mitigates the impact of communication uncertainties on ED performance while reducing communication overhead.

关键词： Generators Uncertainty Costs Communication networks Smart grids Prediction algorithms Monitoring Adaptive algorithm economic dispatch smart grid self-triggered control uncertain communication

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Design of a Novel Plasmonic Splitter With Variable Transmissions and Selectable Channels

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IEEE TRANSACTIONS ON NANOTECHNOLOGY 2019年 18卷 617-625页

作者： Ye, Yichen Xie, Yiyuan Song, Tingting Wang, Yun Chai, Junxiong Liu, Bocheng Liu, Yong Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Natl Joint Engn Lab Intelligent Transmiss & Contr Chongqing 400715 Peoples R China Univ Elect Sci & Technol Chengdu Sch Optoelect Informat Chengdu 611731 Sichuan Peoples R China

A novel plasmonic power splitter with variable transmissions and selectable channels is presented using hexagonal resonator with inserted silver ellipse. Rotating the silver ellipse to different angles will break the symmetry of structure and change the propagation path of surface plasmon polaritons. The finite-difference time-domain simulation results reveal that the variable transmissions and selectable channels are achieved by rotating the inserted ellipse. Besides elliptical core, other components such as rectangular and triangular core are investigated in detail. It proves that the selection of channels and variable transmissions can be realized when the structural asymmetry is introduced into the hexagonal resonator by rotating the inserted asymmetric core. Furthermore, comparing the simulation results of three different structures, it is found that the power splitter with elliptical core has larger transmission when the output ports is selected and it is easier to adjust the transmission according to the requirements since its error range of rotation angle is larger than the others. Therefore, the power splitter with elliptical core is more suitable for realizing variable transmissions and selectable channels. The proposed device can realize the dynamic control of optical signals with the compact and simple structure. It may potentially be applied in on-chip signal routing and optical networks-on-chip.

关键词： Power splitter surface plasmon polaritons selectable channels variable transmissions

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A distributed stochastic gradient algorithm for economic dispatch over directed network with communication delays

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2019年 110卷 759-771页

作者： Zhang, Hao Li, Huaqing Zhu, Yifan Wang, Zheng Xia, Dawen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Guizhou Minzu Univ Coll Data Sci & Informat Engn Guiyang 550025 Guizhou Peoples R China

Economic dispatch problem (EDP) is one of the fundamental optimization problems in power systems, which involves a coupling linear constraint and several individual box constraints. In this paper, we propose a distributed stochastic gradient descent algorithm based on consensus theory to solve the EDP under directed network, where the convex cost function for each generator only needs to satisfy the condition that the function is strictly convex with Lipschitz continuous gradient. The proposed algorithm utilizes stochastic gradient descent to update values of generators for dealing with the noise which is incurred during the gradient estimation, and the step-sizes are heterogeneous. Under strictly convex assumption on objective functions, the algorithm can seek the exact optimal solution with probability one at the rate of (O(ln K/root K)), where K is the number of iteration. Furthermore, the algorithm is also suitable and effective to the network with communication delays if the communication delays are bounded. Simulation results illustrate the effectiveness of the algorithm.

关键词： Economic dispatch problem (EDP) Distributed optimization algorithm Stochastic gradient descent Communication delays Uncoordinated step-sizes Directed network

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Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems

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NEURAL NETWORKS 2019年 115卷 90-99页

作者： Han, Yiyan Li, Chuandong Zeng, Zhigang Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China Huazhong Univ Sci & Technol Sch Automat Wuhan 430074 Hubei Peoples R China Educ Minist China Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive protocol with event-based asynchronously sampled data is adopted. Systems that communicate by data asynchronously sampled in limited time intervals are constructed. By separating time instants at which the sampling and communication occur into different ones, resources for such activations that every agent must execute can be reallocated to reduce the system load at communication instants. Event-based schemes are introduced to manipulate the sampling behavior. Two cases that with and without leader in directed networks topologies are both investigated. Sufficient conditions for system parameters and the event-based sampling schemes are given to guarantee the consensus. Numerical simulations are presented to illustrate the effectiveness of our proposed method. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Impulsive protocol Discrete-time non-linear multi-agent systems Event-based asynchronous sampling data Consensus

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Quantized kernel maximum correntropy and its mean square convergence analysis

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DIGITAL SIGNAL PROCESSING 2017年 63卷 164-176页

作者： Wang, Shiyuan Zheng, Yunfei Duan, Shukai Wang, Lidan Tan, Hongtao Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Key Lab Nonlinear Circuits Informat Pro Chongqing 400715 Peoples R China Chongqing Commun Inst Chongqing 400035 Peoples R China

Online vector quantization (VQ) method has been successfully applied to the kernel adaptive filters (KAFs) for curbing their linearly growing radial basis function (RBF) network, thereby generating a family of quantized KAFs (QKAFs). However, the most existing QKAFs are based on the mean square error (MSE) criterion, which is actually not a good choice for non-Gaussian signals. In this paper, a new quantized kernel adaptive filter called quantized kernel maximum correntropy (QKMC) is developed, which is robust to large outliers or impulsive noises. The mean square convergence analysis for QKMC is conducted, and a sufficient condition for guaranteeing convergence is therefore obtained. The filtering accuracy of QKMC is also proved to be higher than that of the representative quantized kernel least mean square (QKLMS). In addition, to make full use of the information hidden in the input and the output spaces, we further propose a modified QKMC based on bilateral gradient (QKMC-BG). To limit the final network size of QKMC-BG, the QXMC-BG with fixed budget (QKMC-BG-FB) is also developed. Simulation results under the cases of Gaussian and non-Gaussian noises are presented to validate the proposed QKMC, QKMC-BG and QKMC-BG-FB. (C) 2017 Elsevier Inc. All rights reserved.

关键词： Online vector quantization Quantized kernel adaptive filters Maximum correntropy criterion Mean square convergence analysis

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Synchronization of coupled memristive inertial delayed neural networks with impulse and intermittent control

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NEURAL COMPUTING & APPLICATIONS 2021年第13期33卷 7953-7964页

作者： Zhang, Wei Qi, Jiangtao Southwest Univ Dept Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Shan Dong Jiaotong Univ Sch Informat Sci & Elect Engn Jinan 250357 Peoples R China

This paper contributes to the global exponential synchronization under impulses effective and periodically intermittent control for linearly coupled memristive inertial delayed neural networks (MIDNNs). First of all, we built an array of linearly coupled MIDNNs. Second, by using linear matrix inequality, Lyapunov function, comparison principle, and an extended Halanay differential inequality, we derived some conclusions which rely on impulses effects and periodically intermittent control insures the global exponential synchronization of the coupled MIDNNs. In the end, two instances put forward illustrate the feasibility of the theoretical results.

关键词： Time-varying delays Coupled MIDNNs Periodically intermittent control Impulse control

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Complex Kernel Risk-Sensitive Loss: Application to Robust Adaptive Filtering in Complex Domain

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IEEE ACCESS 2018年 6卷 60329-60338页

作者： Qian, Guobing Wang, Shiyuan Southwest Univ Chongqing Key Lab Nonlinear Circuits & Intelligen Coll Elect & Informat Engn Chongqing 400715 Peoples R China Southwest Univ Sch Math & Stat Chongqing 400715 Peoples R China

Recently, the maximum complex correntropy criterion (MCCC) algorithm has shown its superiority for adaptive filter in complex domain. Compared with the traditional mean square error (MSE) criterion-based algorithms, MCCC uses complex correntropy as similarity measure, which is robust even in the presence of impulse noise. However, the error performance surface of complex correntropic loss (CC-loss) is not optimal, which is steep nearby the optimal solution and flat far from the optimal solution. In this paper, we propose a new similarity measure in complex domain, namely, complex kernel risk-sensitive loss (CKRSL). Based on CKRSL, we derive a new adaptive filter algorithm in the complex domain by using the gradient-based method, i.e., the CKRSL algorithm. Compared with the MCCC algorithm, the CKRSL algorithm has faster convergence rate and higher filtering accuracy. Meanwhile, it is robust against outlier. In addition, we provide the stability analysis and the steady-state excess MSE for the CKRSL algorithm. Simulation results confirm the correctness of the theoretical results and the superiority of the CKRSL algorithm.

关键词： Adaptive filtering complex domain robustness kernel risk-sensitive loss gradient-based

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Single-frequency erbium-doped fiber laser based on self-injection feedback

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OPTICS EXPRESS 2024年第15期32卷 27399-27408页

作者： Yang, Jun Chen, Huiping Song, Shuxiang Chen, Guangrun Zhao, Peiyang Guangxi Normal Univ Sch Elect & Informat Engn Guilin 541004 Peoples R China Guangxi Normal Univ Sch Elect & Informat Engn Guangxi Key Lab Brain Inspired Comp & Intelligent Guilin 541004 Peoples R China Guangxi Normal Univ Educ Dept Guangxi Zhuang Autonomous Reg Key Lab Nonlinear Circuits & Opt Commun Guilin 541004 Peoples R China

In this paper, a single-frequency erbium-doped fiber laser based on self-injection feedback is reported, which uses a high-reflectivity broadband fiber Bragg grating, an ordinary commercial high-doped erbium fiber and a low-reflectivity broadband fiber Bragg grating to form the main resonant cavity, and a stable narrow linewidth single-frequency laser output is achieved by connecting a single-mode fiber and a low reflectivity narrowband fiber Bragg grating to form self-injection feedback. Then, a saturated double-pass erbium-doped fiber amplifier and a saturable absorber were added to the self-injection optical path, which well suppressed the relative intensity noise and phase noise and the relaxation oscillation intensity was well suppressed by about 18.08 dB, and the phase noise was 36.7dBcHz-1 suppression, the edge-mode rejection ratio is increased by 13 dB, and the final laser linewidth is about 270 Hz, and the output power is 8.5 dBm.

关键词： Fiber Bragg gratings Fiber lasers High power lasers Single mode lasers Thulium doped fiber lasers Ultrafast lasers

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An analysis and design for time-varying structures dynamical networks via state constraint impulsive control

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INTERNATIONAL JOURNAL OF CONTROL 2019年第12期92卷 2820-2828页

作者： Li, Liangliang Li, Chuandong Li, Hongfei Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing Peoples R China Chongqing Three Gorges Univ Sch Math & Stat Chongqing Peoples R China

This paper investigates the problems of exponential stabilisation criterion for time-varying structures dynamical networks via state constraint impulsive control. Two types of state constraint impulsive control schemes are proposed which include fully state constraint and partial state constraint. Combining with convex analysis, inductive method and matrix measure theory, some sufficient conditions are obtained to ensure exponential stabilisation for time-varying structures dynamical systems by using the constrains linear feedback impulsive controllers. Meanwhile, some simulation results are given to validate the effectiveness of the proposed criteria in the end.

关键词： Time-varying structures fully state constraints partial state constraints impulsive control

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A Novel Projection Neural Network for Sparse Optimization With L1-Minimization Problem

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024年第5期8卷 3339-3351页

作者： Wen, Hongsong He, Xing Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligen Chongqing 400715 Peoples R China Texas A&M Univ Qatar Dept Math Doha 23874 Qatar

In this paper, a novel projection neural network (PNN) for solving the L-1-minimization problem is proposed, which can be applied to sparse signal reconstruction and image reconstruction. First, a one-layer PNN is designed with the projection matrix and the projection operator, which is shown to be stable in the Lyapunov sense and converges globally to the optimal solution of the L-1-minimization problem. Then, the finite-time convergence of the proposed PNN is further investigated, with the upper bound on the convergence time given and the convergence rate analyzed. Finally, we make comparisons of our proposed PNN with the existing neural networks. Experimental results based on random Gaussian sparse signals demonstrate the effectiveness and performance of our proposed PNN. Moreover, the experiments on grayscale image reconstruction and color image reconstruction are further implemented, which sufficiently demonstrate the superiority of our proposed PNN.

关键词： Projection neural network (PNN) L-1-minimization sparse signal reconstruction image reconstruction finite-time convergence

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