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检索条件"机构=Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing"

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Diffusion Recursive Minimum Error Entropy Algorithm 22

Diffusion Recursive Minimum Error Entropy Algorithm

引用

6th International Conference on Digital Signal processing, ICDSP 2022

作者： Cai, Peng Lin, Dongyuan Yan, Wenxing Wang, Shiyuan Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9781450395809

Distributed estimation algorithms under the mean square error (MSE) criterion have received a lot of attention due to their simplicity and good estimation performance for distributed estimates in Gaussian noise environments. However, when the noise does not obey the Gaussian distribution, the performance of these algorithms can degrade seriously. In this paper, a robust distributed estimation algorithm, called the diffusion recursive minimum error entropy (DRMEE), is proposed by combining the diffusion strategy and the minimum error entropy (MEE) criterion. Since MEE criterion has been proved to be insensitive to many types of non-Gaussian noise models, the proposed algorithm is expected to improve the robustness of distributed estimation algorithms under the MSE criterion, significantly. The superior performance of DRMEE is confirmed by simulation results in the scenario of system identification with two multi-peak distribution noise environments. © 2022 ACM.

关键词： Diffusion

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Association Rules Hiding via Multi-Objective Differential Evolution Algorithm 6

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

引用

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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An ECG Monitoring System Based on Android 12

An ECG Monitoring System Based on Android

引用

12th International Conference on intelligent Human-Machine Systems and Cybernetics, IHMSC 2020

作者： Zhang, Ruiqi Hua, Zhengchun Chen, Chen Liu, Guangyuan Wen, Wanhui Southwest University School of Electronic and Information Engineering Chongqing China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China

ISBN: (纸本)9781728165165

This study aims to design a real-time electrocardiogram (ECG) and heart rate monitoring system based on Android. The system connects Android device and a Shimmer3 ECG module, which is a wearable ECG device collecting ECG data with five electrodes. The ECG signal is amplified and filtered by internal circuit processing in Shimmer3 ECG module, and the ECG data is transmitted to an Android phone via Bluetooth. The baseline drift in ECG signal is removed through wavelet decomposition and reconstruction. Then, the processed ECG data are used to find the R wave peaks by an algorithm for automatic R peak locating and RR interval calculation. RR interval waveform is plotted and displayed on an Android phone in real time. Finally, ECG and RR intervals are saved for data playback and subsequent analysis. © 2020 IEEE.

关键词： Electrocardiograms

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The nyström kernel adagrad least mean square algorithm using K-means sampling 4

The nyström kernel adagrad least mean square algorithm usin...

引用

4th IEEE International Conference on Electronic information and Communication Technology, ICEICT 2021

作者： Huang, Xuewei Wang, Daili Qi, Letian 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)9781665432030

The kernel least mean square (KLMS) using the stochastic gradient descent (SGD) method has been proposed successfully in a Gaussian noise. However, KLMS suffers from performance degradation in terms of convergence rate and filtering accuracy. To this end, an adaptive gradient (Adagrad) optimization algorithm is used to find the solution to the least mean square of error, and the Nyström method is applied into KLMS to reduce its computational and spatial complexity, generating an online Nyström kernel Adagrad least mean square (NKALMS) algorithm. To further improve the filtering accuracy of NKALMS, another online Nyström kernel Adagrad least mean square algorithm using k-means sampling (NKALMS-K) is developed in this paper. Monte Carlo simulations on time series prediction demonstrate that the NKALMS-K algorithm outperforms KLMS and its extensions in the presence of Gaussian noise from the aspects of accuracy and computational efficiency. ©2021 IEEE

关键词： Computational efficiency

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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...

引用

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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A hybrid neurodynamics algorithm for solving distributed nonconvex nonsmooth load sharing problems in power systems

A hybrid neurodynamics algorithm for solving distributed non...

引用

2022 International Conference on intelligent Systems and Computational Intelligence, ICISCI 2022

作者： Yang, Jianyu He, Xing Southwest University Chongqing Key Laboratory Of Nonlinear Circuits And Intelligent Information Processing College Of Electronic And Information Engineering Chongqing400715 China

ISBN: (数字)9781665456197

ISBN: (纸本)9781665456197

In this paper, a hybrid neurodynamics optimizatio (HNO) algorithm is proposed, which is a distributed convex optimization algorithm combined with stochastic neurodynamics. The state solution of the HNO algorithm can avoid falling into local optimal solution by adding neural white noise. The results of numerical experiments show that HNO algorithm has better global optimization ability. In addition, we build a distributed load share (DLS) model. Different from the current model, which only focuses on the quadratic economic cost function, we not only consider the valve point effect and the environmental cost function of the fuel generator, but also consider the constraints of the transmission line which connects the bus. A distributed non-convex nonsmooth optimization problem is constructed. To solve this problem, we first smoothed each local objective function, then dealt with nonconvex constraints utilizing penalty function, and transformed the original problem into a distributed nonconvex optimization problem. Finally, the HNO algorithm is used to solve the problem. The optimization values of each variable in the power grid show that the power grid can operate in an optimal state under the condition of power limitation. © 2022 IEEE.

关键词： Global optimization

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The Kernel Recursive Generalized Cauchy Kernel Loss Algorithm 6

The Kernel Recursive Generalized Cauchy Kernel Loss Algorith...

引用

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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The Design of PID Controller Based on Improved Bird Swarm Algorithm 5

The Design of PID Controller Based on Improved Bird Swarm Al...

引用

5th International Conference on information, Cybernetics, and Computational Social Systems, ICCSS 2018

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

ISBN: (纸本)9781538670880

The proportional - integral - derivative(PID)controller has been widely employed in industrial control systems. However, the PID parameters obtained by Ziegler-Nichols(Z-N)method are difficult to show superior performance. Based on the improved bird swarm algorithm(IBSA), a method of parameter optimization of PID controller is proposed in this paper. We improve the three parameters C and S respectively. The ω is the inertia coefficient added to the bird swarm algorithm(BSA). The C and S are cognitive coefficient and social coefficient of BSA respectively. In addition, the PID controller using IBSA is also called IBSA-PID controller. In order to validate the superiority of IBSA, we compare IBSA with particle swarm optimization(PSO), genetic algorithm(GA)and bird swarm algorithm(BSA)under the aid of integrated time and absolute error(ITAE). Experimental results validate that IBSA has superior performance than other algorithms on the aspect of convergence, robust, and time cost. © 2018 IEEE.

关键词： Three term control systems

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Fault-Tolerant Control for Underwater Vehicle with Actuator Saturation and Faults 5th

Fault-Tolerant Control for Underwater Vehicle with Actuato...

引用

5th China Conference on intelligent Networked Things, CINT 2022

作者： Li, Hongfei Xu, Jing Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9789811989148

Underwater vehicle system, as a kind of special machine capable of underwater resource exploration, submarine pipeline maintenance, marine environment reconnaissance and submarine rescue, is a common tool in modern marine exploitation. Underwater vehicles play an important role in the survey and exploration of marine resource. The fault tolerant control for underwater vehicle system with external disturbance and actuator faults is studied in this paper. The fault observer can estimate the fault in the existence of disturbance environment. A sufficient condition for the existence of fault observer is proposed which guarantees the stability of the closed-loop system under actuator faults. Moreover, a fault-tolerant controller is developed to compensate for the failure effects on the system by updating the design feedback matrices online. For the fault-tolerant controller, Lyapunov function is used to obtain the stability for underwater vehicle system about actuator saturation. Finally, an example is included to show the effectiveness of the presented theory. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Lyapunov functions

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Data-driven current sharing and voltage regulation for DC microgrid with unknown voltage loss

Data-driven current sharing and voltage regulation for DC mi...

引用

2021 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2021

作者： Shi, Rui Wang, Aiqing Dong, Tao Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronics and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9781665443227

Current sharing and voltage regulation are two basic issues in DC microgrid. Most of the existing studies about current sharing and voltage regulation are based on the ideal case that there is no voltage loss on power line. However, in practical DC microgrid, many unknown factors may lead to voltage loss on power line, which make the present algorithms are unavailable in practical application. To solve the problem, in this paper, a novel model of current sharing and voltage regulation is proposed by using an unknown nonlinear function to describe the voltage loss on power line. Then, a novel control scheme is proposed based on pre-compensation technology, which can circumvent the unknown voltage loss. The control scheme is consisted of three parts: critic network, compensator and controller. The iterative performance is computed by critic network. The compensator is used to constitute the compensator parameter according to the iterative performance. The controller is used to generate control input by using compensator parameter. Finally, an example is given to demonstrate the effectiveness. © 2021 IEEE.

关键词： Controllers

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