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学者姓名：李晓理
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摘要 ：
In recent years, the Chinas economy has developed rapidly. The peoples living standard has been improved. The number of cars has been increasing, and the pollutant NO has been produced continuously, which leads to the formation of NO2. These harmful particles have an impact on human health. Thus, the effective and accurate NO2 concentration prediction model plays an effective role in peoples health and prevention. For this problem, this paper presents a prediction model based on the long short-term memory (LSTM) method to predict NO2 concentration. Firstly, the PM10, SO2, NO2, CO, O3, temperature in a campus monitoring point in Beijing is collected as the research object in this paper. Then, the LSTM prediction model and BP (back propagation) neural network prediction model are established respectively. Finally, the accuracy of the two prediction models for the prediction of NO2 concentration is compared. The results show that the prediction model based on LSTM method is superior to BP neural network model, and the prediction accuracy is more accurate. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
关键词 ：
Sulfur dioxide Sulfur dioxide Forecasting Forecasting Nitrogen oxides Nitrogen oxides Long short-term memory Long short-term memory Backpropagation Backpropagation Air pollution Air pollution Intelligent systems Intelligent systems Predictive analytics Predictive analytics
引用：
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| GB/T 7714 | Li, Jihan , Li, Xiaoli , Liu, Jian et al. Air Pollutants NO2 Concentration Prediction Based on LSTM Neural Network method [C] . 2021 : 801-808 . |
| MLA | Li, Jihan et al. "Air Pollutants NO2 Concentration Prediction Based on LSTM Neural Network method" . (2021) : 801-808 . |
| APA | Li, Jihan , Li, Xiaoli , Liu, Jian , Wang, Kang . Air Pollutants NO2 Concentration Prediction Based on LSTM Neural Network method . (2021) : 801-808 . |
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摘要 ：
基于人工智能技术的重大活动食品安全与风险评估综述
关键词 ：
大型活动 大型活动 安全监管 安全监管 犯罪预防 犯罪预防 食品安全 食品安全 人工智能 人工智能 风险评估 风险评估
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| GB/T 7714 | 李晓理 , 卜坤 , 翟玉鹏 et al. 基于人工智能技术的重大活动食品安全与风险评估综述 [J]. | 李晓理 , 2021 , 47 (5) : 530-539 . |
| MLA | 李晓理 et al. "基于人工智能技术的重大活动食品安全与风险评估综述" . | 李晓理 47 . 5 (2021) : 530-539 . |
| APA | 李晓理 , 卜坤 , 翟玉鹏 , 王康 , 北京工业大学学报 . 基于人工智能技术的重大活动食品安全与风险评估综述 . | 李晓理 , 2021 , 47 (5) , 530-539 . |
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摘要 ：
随着中国国际地位的提高,举办大型活动日渐频繁.大型活动人员规模大、政治规格高、被社会大众广为关注等特点决定了其食品安全保障与传统食品监管有着不同的侧重点.为了更好地让人工智能技术服务于重大活动食品安全保障,从多个角度进行分析.首先,简要回顾传统食品安全监管行业的发展历史;其次,对现有的食品安全保障技术进行概括与总结,包含计算机视觉、物联网等人工智能技术;最后,根据重大活动的特点,基于现有犯罪预防与风险评估技术的应用现状,分析讨论重大活动食品安全风险评估技术的发展前景与困难.
关键词 ：
人工智能 人工智能 大型活动 大型活动 安全监管 安全监管 犯罪预防 犯罪预防 食品安全 食品安全 风险评估 风险评估
引用：
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| GB/T 7714 | 李晓理 , 卜坤 , 翟玉鹏 et al. 基于人工智能技术的重大活动食品安全与风险评估综述 [J]. | 北京工业大学学报 , 2021 , 47 (05) : 530-539 . |
| MLA | 李晓理 et al. "基于人工智能技术的重大活动食品安全与风险评估综述" . | 北京工业大学学报 47 . 05 (2021) : 530-539 . |
| APA | 李晓理 , 卜坤 , 翟玉鹏 , 王康 . 基于人工智能技术的重大活动食品安全与风险评估综述 . | 北京工业大学学报 , 2021 , 47 (05) , 530-539 . |
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摘要 ：
针对燃煤机组脱硝系统NOx被控对象存在大延迟、非线性的问题,综合考虑燃煤机组运行特性和脱硝系统工艺流程,对机理模型在变负荷过程中的特性进行分析和研究。以机理模型作为研究对象,通过BP神经网络建立脱硝系统出口NOx浓度的控制模型。将遗传算法(GA)和模型预测控制理论相结合,实现脱硝系统出口NOx浓度的神经网络模型预测控制。与传统的PID控制方法比较,所提方法具有更高的出口NOx浓度控制品质,降低了控制动态过程中的氨逃逸率。
关键词 ：
神经网络 神经网络 脱硝控制 脱硝控制 遗传算法 遗传算法 非线性 非线性 预测模型 预测模型
引用：
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| GB/T 7714 | 王富强 , 李晓理 , 于学斌 . 基于GA-BP预测控制的燃煤机组脱硝系统优化研究 [J]. | 控制工程 , 2021 , 28 (07) : 1490-1495 . |
| MLA | 王富强 et al. "基于GA-BP预测控制的燃煤机组脱硝系统优化研究" . | 控制工程 28 . 07 (2021) : 1490-1495 . |
| APA | 王富强 , 李晓理 , 于学斌 . 基于GA-BP预测控制的燃煤机组脱硝系统优化研究 . | 控制工程 , 2021 , 28 (07) , 1490-1495 . |
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摘要 ：
Due to the randomness and uncertainty in the atmospheric environment, and accompanied by a variety of unknown noise. Accurate prediction of PM2.5 concentration is very important for people to prevent injury effectively. In order to predict PM2.5 concentration more accurately in this environment, a hybrid modelling method of support vector regression and adaptive unscented Kalman filter (SVR-AUKF) is proposed to predict atmospheric PM2.5 concentration in the case of incorrect or unknown noise. Firstly, the PM2.5 concentration prediction model was established by support vector regression. Secondly, the state space framework of the model is combined with the adaptive unscented Kalman filter method to estimate the uncertain PM2.5 concentration state and noise through continuous updating when the model noise is incorrect or unknown. Finally, the proposed method is compared with SVR-UKF method, the simulation results show that the proposed method is more accurate and robust. The proposed method is compared with SVR-UKF, AR-Kalman, AR and BP methods. The simulation results show that the proposed method has higher prediction accuracy of PM2.5 concentration.
关键词 ：
adaptive unscented Kalman filtering adaptive unscented Kalman filtering noise estimation noise estimation PM2 5 prediction PM2 5 prediction Support vector regression Support vector regression
引用：
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| GB/T 7714 | Li, Jihan , Li, Xiaoli , Wang, Kang et al. Atmospheric PM2.5 concentration prediction and noise estimation based on adaptive unscented Kalman filtering [J]. | MEASUREMENT & CONTROL , 2021 , 54 (3-4) : 292-302 . |
| MLA | Li, Jihan et al. "Atmospheric PM2.5 concentration prediction and noise estimation based on adaptive unscented Kalman filtering" . | MEASUREMENT & CONTROL 54 . 3-4 (2021) : 292-302 . |
| APA | Li, Jihan , Li, Xiaoli , Wang, Kang , Cui, Guimei . Atmospheric PM2.5 concentration prediction and noise estimation based on adaptive unscented Kalman filtering . | MEASUREMENT & CONTROL , 2021 , 54 (3-4) , 292-302 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
This paper is concerned with the secure consensus problem of multiagent systems under switching topologies. The studied multiagent systems are affected by both denial-of-service (DoS) attacks and external disturbances. To solve the secure H∞ consensus problems, some modified definitions are presented. Some graph-based Lyapunov functions, which are based on the solutions of some Lyapunov equations and the graph information, are also designed for the H∞ performance analysis. Moreover, graph-based frequency and durations have also been presented for attaining the expected system performance. The stabilization controllers are also developed based on the solutions to some Lyapunov equations and an algebraic Riccati equation (ARE), which are easy to acquire. Some simulations are provided to validate the feasibility of the proposed scheme. © 2021 Elsevier Inc.
关键词 ：
Denial-of-service attack Denial-of-service attack Graphic methods Graphic methods Lyapunov functions Lyapunov functions Multi agent systems Multi agent systems Riccati equations Riccati equations Topology Topology
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| GB/T 7714 | Du, Shengli , Wang, Yuee , Dong, Lijing et al. Secure consensus of multiagent systems with DoS attacks via a graph-based approach [J]. | Information Sciences , 2021 , 570 : 94-104 . |
| MLA | Du, Shengli et al. "Secure consensus of multiagent systems with DoS attacks via a graph-based approach" . | Information Sciences 570 (2021) : 94-104 . |
| APA | Du, Shengli , Wang, Yuee , Dong, Lijing , Li, Xiaoli . Secure consensus of multiagent systems with DoS attacks via a graph-based approach . | Information Sciences , 2021 , 570 , 94-104 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
In wet flue gas desulfurization (WFGD) process, the pH value of the absorption tower slurry is a crucial factor to the efficiency of desulfurization system. Aiming at the nonlinearity and large lag of the pH change in WFGD process, a predictive control strategy based on Hammerstein-Wiener inverse model compensation is proposed. During the calculation of optimal control, an anti-model of Wiener nonlinearity unit is adopted to transform the output setting values and sampling values. Similarly in the control process, the controller output is applied to the actual controlled object after inverse transformation of the static nonlinear Hammerstein model. Through the above two inverse transformations, the controller output is identical with the input of linear link in the closed-loop system. In this article, the inverse model compensation method is utilized to transform nonlinear process control into linear system control, avoiding the large computation of nonlinear model optimization. Finally, the feasibility and effectiveness of the proposed scheme are verified by simulation.
关键词 ：
Hammerstein-Wiener model Hammerstein-Wiener model inverse model compensation inverse model compensation nonlinear model predictive control nonlinear model predictive control wet flue gas desulfurization wet flue gas desulfurization
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| GB/T 7714 | Li, Xiaoli , Dong, Jiawei , Wang, Kang . Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process [J]. | OPTIMAL CONTROL APPLICATIONS & METHODS , 2021 . |
| MLA | Li, Xiaoli et al. "Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process" . | OPTIMAL CONTROL APPLICATIONS & METHODS (2021) . |
| APA | Li, Xiaoli , Dong, Jiawei , Wang, Kang . Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process . | OPTIMAL CONTROL APPLICATIONS & METHODS , 2021 . |
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摘要 ：
The PM2.5 concentration model is the key to predict PM2.5 concentration. During the prediction of atmospheric PM2.5 concentration based on prediction model, the prediction model of PM2.5 concentration cannot be usually accurately described. For the PM2.5 concentration model in the same period, the dynamic characteristics of the model will change under the influence of many factors. Similarly, for different time periods, the corresponding models of PM2.5 concentration may be different, and the single model cannot play the corresponding ability to predict PM2.5 concentration. The single model leads to the decline of prediction accuracy. To improve the accuracy of PM2.5 concentration prediction in this solution, a multiple model adaptive unscented Kalman filter (MMAUKF) method is proposed in this paper. Firstly, the PM2.5 concentration data in three time periods of the day are taken as the research object, the nonlinear state space model frame of a support vector regression (SVR) method is established. Secondly, the frame of the SVR model in three time periods is combined with an adaptive unscented Kalman filter (AUKF) to predict PM2.5 concentration in the next hour, respectively. Then, the predicted value of three time periods is fused into the final predicted PM2.5 concentration by Bayesian weighting method. Finally, the proposed method is compared with the single support vector regression-adaptive unscented Kalman filter (SVR-AUKF), autoregressive model-Kalman (AR-Kalman), autoregressive model (AR) and back propagation neural network (BP). The prediction results show that the accuracy of PM2.5 concentration prediction is improved in whole time period.
关键词 ：
adaptive unscented Kalman filter adaptive unscented Kalman filter Bayesian Bayesian multiple model multiple model support vector regression support vector regression
引用：
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| GB/T 7714 | Li, Jihan , Li, Xiaoli , Wang, Kang et al. Atmospheric PM2.5 Prediction Based on Multiple Model Adaptive Unscented Kalman Filter [J]. | ATMOSPHERE , 2021 , 12 (5) . |
| MLA | Li, Jihan et al. "Atmospheric PM2.5 Prediction Based on Multiple Model Adaptive Unscented Kalman Filter" . | ATMOSPHERE 12 . 5 (2021) . |
| APA | Li, Jihan , Li, Xiaoli , Wang, Kang , Cui, Guimei . Atmospheric PM2.5 Prediction Based on Multiple Model Adaptive Unscented Kalman Filter . | ATMOSPHERE , 2021 , 12 (5) . |
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摘要 ：
This article is concerned with the exponential stability and l(1)-gain performance analysis of discrete-time switched positive systems (DTSPSs) under mode-dependent average dwell time (MDADT) switching. A novel linear copositive Lyapunov function, which is both quasi-time-dependent and mode-dependent, is designed for the stability and performance analysis. Stability conditions are developed such that the considered DTSPS is exponentially stable and also attains an attenuation performance. The solved conditions for the controllers design are presented in terms of linear programming (LP), and are both quasi-time-dependent and mode-dependent. Two examples are organized to validate the effectiveness of the proposed scheme finally.
关键词 ：
Controller synthesis Controller synthesis l(1)-gain l(1)-gain quasi-time-dependent quasi-time-dependent switched positive systems (SPSs) switched positive systems (SPSs)
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| GB/T 7714 | Li, Xiaoli , Du, Sheng-Li , Zhao, Xudong . Stability and l(1)-Gain Analysis for Switched Positive Systems With MDADT Based on Quasi-Time-Dependent Approach [J]. | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2021 , 51 (9) : 5846-5854 . |
| MLA | Li, Xiaoli et al. "Stability and l(1)-Gain Analysis for Switched Positive Systems With MDADT Based on Quasi-Time-Dependent Approach" . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 51 . 9 (2021) : 5846-5854 . |
| APA | Li, Xiaoli , Du, Sheng-Li , Zhao, Xudong . Stability and l(1)-Gain Analysis for Switched Positive Systems With MDADT Based on Quasi-Time-Dependent Approach . | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS , 2021 , 51 (9) , 5846-5854 . |
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摘要 ：
In the past two decades, multi-objective evolutionary algorithms (MOEAs) have achieved great success in solving two or three multi-objective optimization problems. As pointed out in some recent studies, however, MOEAs face many difficulties when dealing with many-objective optimization problems(MaOPs) on account of the loss of the selection pressure of the non-dominant candidate solutions toward the Pareto front and the ineffective design of the diversity maintenance mechanism. This paper proposes a many-objective evolutionary algorithm based on vector guidance. In this algorithm, the value of vector angle distance scaling(VADS) is applied to balance convergence and diversity in environmental selection. In addition, tournament selection based on the aggregate fitness value of VADS is applied to generate a high quality offspring population. Besides, we adopt an adaptive strategy to adjust the reference vector dynamically according to the scales of the objective functions. Finally, the performance of the proposed algorithm is compared with five state-of-the-art many-objective evolutionary algorithms on 52 instances of 13 MaOPs with diverse characteristics. Experimental results show that the proposed algorithm performs competitively when dealing many-objective with different types of Pareto front. © 2021 - IOS Press. All rights reserved.
关键词 ：
Evolutionary algorithms Evolutionary algorithms Multiobjective optimization Multiobjective optimization Vectors Vectors
引用：
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| GB/T 7714 | Li, Xin , Li, Xiaoli , Wang, Kang . A many-objective evolutionary algorithm based on vector angle distance scaling [J]. | Journal of Intelligent and Fuzzy Systems , 2021 , 40 (5) : 10285-10306 . |
| MLA | Li, Xin et al. "A many-objective evolutionary algorithm based on vector angle distance scaling" . | Journal of Intelligent and Fuzzy Systems 40 . 5 (2021) : 10285-10306 . |
| APA | Li, Xin , Li, Xiaoli , Wang, Kang . A many-objective evolutionary algorithm based on vector angle distance scaling . | Journal of Intelligent and Fuzzy Systems , 2021 , 40 (5) , 10285-10306 . |
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