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International Conference on Control and Automation (ICCA)

作者： Kang Zhou Zhenyuan Du Huaqing Li Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing PR China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper investigates a distributed optimization problem over a multiagent network, in which the target of agents is to collaboratively optimize the sum of all local objective functions. The case discusses that the network topology among agents is described by a strongly connected directed graph. The proposed algorithm utilizes row-stochastic weight matrices and uncoordinated step sizes. Under conditions that the objective functions are strong convex, and have Lipschitz continuous gradients, we manifest that proposed algorithm faster linearly converges to the global optimization solution than other algorithms as long as the chosen step sizes do not exceed an exact characterized upper bound. Numerical experiments are also provided to testify the theoretical analysis.

关键词： Optimization Convergence Acceleration Directed graphs Convex functions Communication networks Upper bound

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Association Rules Hiding via Multi-Objective Differential Evolution Algorithm 6

Association Rules Hiding via Multi-Objective Differential Ev...

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6th International Conference on information, Cybernetics, and Computational Social Systems, ICCSS 2019

作者： Mu, Nankun Yang, Fan Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9781728158570

Association rules (ARs) mining has been widely used in discovering interesting patterns from massive data as a key data mining technique. However, this mining technique may lead to the disclosure of sensitive ARs, and thus, the ARs hiding strategy is very important and necessary. In this paper, a novel ARs hiding method (DEvoArH) is proposed for hiding the ARs. Noting that there are three side-effects in ARs hiding (ARH), i.e., the hiding failure rate, the lost rules rate, and the ghost rules rate, a multi-objective differential evolution algorithm is carefully designed. Specifically, the Pareto-optimal solutions are defined as the elite set, and then each solution is capable of learning from the elite set with a certain probability. Considering the convergence speed and search ability, a directional mutation and random mutate round is introduced into the mutation operator. Besides, to further decrease the data change rate, a database pre-processing mechanism is proposed to filter the unrelated data before the hiding process. Finally, the results of the comparison experiments also demonstrate the superiority of the proposed ARH method in terms of the three side-effects and efficiency. © 2019 IEEE.

关键词： Association rules

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The Robust Kernel Conjugate Gradient Least Mean p-Power Algorithm∗ 2

The Robust Kernel Conjugate Gradient Least Mean p-Power Algo...

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2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019

作者： Huang, Xuewei Xiong, Kui Wang, Lin Wang, Shiyuan College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China

ISBN: (纸本)9781728140919

The traditional kernel adaptive filter (KAF) based on the minimum mean square error (MMSE) criterion suffers from poor filtering accuracy and slow convergence rate in Gaussian noises. To this end, the recursive KAF based on the least squares (LS) criterion can improve filtering accuracy and convergence rate in Gaussian noises with the increase of computational and storage burdens. However, both quadratic similarity measures based filters may suffer instability in non-Gaussian noises. To address these issues, a robust kernel conjugate gradient least mean p-power (KCGLMP) algorithm based on the mean p- power error (MPE) criterion is therefore proposed by combining the conjugate gradient optimization method with kernel trick. The proposed KCGLMP algorithm improves filtering accuracy and computational efficiency, simultaneously. Simulation results confirm the superiorities of the proposed KCGLMP algorithm over other conventional KAFs in non-Gaussian noises. © 2019 IEEE.

关键词： Computational efficiency

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The Kernel Recursive Generalized Cauchy Kernel Loss Algorithm 6

The Kernel Recursive Generalized Cauchy Kernel Loss Algorith...

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6th International Conference on information, Cybernetics, and Computational Social Systems, ICCSS 2019

作者： Shi, Wei Xiong, Kui Wang, Shiyuan College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits Intelligent Information Processing Chongqing400715 China

ISBN: (纸本)9781728158570

As a nonlinear measure similarity developed in a kernel space, the generalized correntropic loss (GC-Loss) has been successfully used for signal processing and machine learning in non-Gaussian situations thanks to its ability of extracting high-order statistical properties of data. However, a highly non-convex performance surface in GC-Loss leads to poor optimization performance. To address this issue, we propose a new similarity measure developed in the kernel space by combining a generalized Gaussian distributed kernel function into the Cauchy loss. By minimizing the proposed loss function and using the kernel method, a novel kernel recursive generalized Cauchy kernel loss (KRGCKL) algorithm in the reproducing kernel Hilbert space (RKHS) is proposed. Simulations on different examples under non-Gaussian noises show the superiorities of KRGCKL over other representative algorithms in terms of filtering accuracy and robustness to large outliers. © 2019 IEEE.

关键词： Gaussian noise (electronic)

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A brief survey on dynamical systems with saturated impulses

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Journal of the Franklin Institute 2025年第10期362卷

作者： Hongjuan Wu Chuandong Li Zhilong He School of Computer Science and Engineering Chongqing Three Gorges University Chongqing 404120 PR China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing 400715 PR China College of Mathematics and System Science Xinjiang University Urumqi 830017 PR China

In this paper, the research results on dynamical systems with saturated impulses (DSSI) are reviewed. We emphasize on the fundamental results, and the recent progress of the saturated impulse theories and the typical applications. Four aspects of saturated impulse are surveyed. That is, the common DSSI models with the important definitions and lemmas, the basic ideas for dealing with the saturated impulses, the estimation of the domain of attraction (DOA) for DSSI, and the typical applications of DSSI. The typical applications contain the design of hybrid controller for dynamical systems, the consensus of multi-agent systems (MASs), and the stability analysis of neural networks (NNs) and other networked systems. Finally, the conclusions and some future research directions are given.

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Secure Resource Allocation for Polarization-Based non-linear Energy Harvesting Over 5G Cooperative Cognitive Radio Networks

Secure Resource Allocation for Polarization-Based Non-Linear...

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IEEE International Conference on Communications (ICC)

作者： Fei Wang Xi Zhang Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing China Networking and Information Systems Laboratory Texas A&M University College Station TX USA

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

We address secure resource allocation for the energy harvesting (EH) based 5G cooperative cognitive radio networks (CRNs). To guarantee that the size-limited secondary users (SUs) can simultaneously send the primary user's and their own information, we assume that SUs are equipped with orthogonally dual-polarized antennas (ODPAs). In particular, we propose, develop, and analyze an efficient resource allocation scheme under a practical non-linear EH model, which can capture the nonlinear characteristics of the end-to-end wireless power transfer (WPT) for radio frequency (RF) based EH circuits. Our obtained numerical results validate that a substantial performance gain can be obtained by employing the non-linear EH model.

关键词： Resource management Energy harvesting Integrated circuit modeling Radio frequency Cognitive radio Numerical models Transmitting antennas

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A Distributed Fixed-Time Neurodynamic Algorithm and Its Application in Multi-Autonomous Underwater Vehicle Collaborative Escorting

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IEEE Transactions on Network Science and Engineering 2025年

作者： Zhang, Peng He, Xing Yu, Junzhi Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Chongqing400715 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China Peking University Nanchang Innovation Institute Nanchang330224 China

In this paper, a distributed fixed-time neurodynamic algorithm (DFxTNA) is designed for solving distributed optimization problem with time-varying (TV) objective function and constraints. The DFxTNA consists of consensus part based on sliding-mode control technique and optimization part based on Hessian matrix and penalty function. In contrast to existing distributed TV algorithms, DFxTNA based on fixed-time sliding mode control can effectively improve the convergence performance of the algorithm and has better stability with the addition of TV disturbance. In addition, the consistency and fixed-time convergence of DFxTNA are proved by Lyapunov theory and fixed-time stability, respectively. The effectiveness of DFxTNA is verified by numerical experiments. Finally, a distributed TV optimization problem model is established for a multi-autonomous underwater vehicle (AUV) cooperative escort scenario, and DFxTNA is applied to solve the problem. Simulation results confirm the effectiveness and stability of DFxTNA in target tracking, formation control, and dynamic obstacle avoidance. © 2013 IEEE.

关键词： Lyapunov functions

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Effects of Negative Stimulation after Exercise on Frontal Asymmetry in Unregular Exercisers 6

Effects of Negative Stimulation after Exercise on Frontal As...

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2019 6th International Conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019

作者： Wang, Tengfei Liu, Guangyuan School of Electronic and Information Engineering Southwest University Chongqing400700 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400700 China

As a signal to recognize emotion, the electroencephalogram (EEG) is used widely. Frontal asymmetry is not only related to emotion, but also affected by exercise. The purpose of our research is to explore the effects of exercise for negative emotion, and how the activity of the frontal of the college students who did not exercise regularly is. We used the frontal asymmetry between F3 and F4 channels of the alpha band. The result showed that the power of frontal asymmetry increased after exercise compared to that before exercise within 3 seconds after stimulation, and the change of the power during the 2nd second was more obvious. The activity of the frontal of the students without exercise habits can be altered by exercise. The frontal asymmetry is related to emotion, which confirms that exercise has an effect on the students without exercise habits after negative stimulation. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Students

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Cross-Subject Emotion Recognition with a Decision Tree Classifier Based on Sequential Backward Selection 11

Cross-Subject Emotion Recognition with a Decision Tree Class...

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11th International Conference on intelligent Human-Machine Systems and Cybernetics, IHMSC 2019

作者： Jiang, Wenge Liu, Guangyuan Zhao, Xingcong Yang, Fu School of Electronic and Information Engineering Southwest University China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781728118598

Many of the current emotion recognitions are intra-subject, the reason is that recognize cross-subject emotions have always been difficult. In this paper, we proposed a decision tree classifier based on sequential backward selection (DT-SBS), and 'leave-one-subject-out' verification strategy was used for evaluating performance of cross-subject emotion recognition. Power spectral density (PSD) was extracted from EEG signals as feature set. The emotion recognition performance of the method we proposed was examined on EEG data of a group of subjects. The pictures were utilized to stimulate the emotion of 12 subjects and we collected their EEG signals (PEEG), the mean recognition accuracy of 65.8%. The dataset for emotion analysis using physiological signals (DEAP) was utilized to verify the method we proposed in this paper and the mean recognition accuracy of 65.2%. Compared with the performance reported in the existing literature, the method we proposed in this paper was effective in cross-subject emotion recognition. In addition, the emotion recognition performance of different rhythms were explored, we found that the mean recognition accuracy of PSD in the gamma rhythm achieved the best mean recognition accuracy compared with the other rhythms;the high frequency bands contained higher emotional information than the low frequency bands. © 2019 IEEE.

关键词： Emotion Recognition

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Tracking control with event-triggered strategy for multi-agent systems with noises

Tracking control with event-triggered strategy for multi-age...

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作者： Tang, Zhaojun Li, Chuandong Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Department of Electronics and Information Engineering Southwest University Chongqing400715 China School of Science Chongqing University of Technology Chongqing400054 China

This paper is concerned with a tracking control problem of multi-agent systems with noises. It is assumed that each agent in the network updates its state only at some discrete time instants, which determined by the event-triggered condition, and the agents are affected by noises. In order to attenuate the effect of noises, consensus-gain function is introduced in the control protocol. Centralized and decentralized event-triggered protocols are proposed to ensure that the followers track the considered leader. With the help of matrix theory and Lyapunov method, sufficient conditions are derived to solve the mean square tracking control. Simulation results are provided to illustrate the theoretical results. © 2018 John Wiley & Sons, Ltd.

关键词： Multi agent systems

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