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2022 4th International Conference on Industrial Artificial Intelligence (IAI)最新文献

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Driver Assistance Fuzzy Control for Vehicle Lane Keeping Systems Based on Road Frequency Range 基于道路频率范围的车辆车道保持系统驾驶员辅助模糊控制
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976782
Wenfeng Li, Jing Zhao, Zhongchao Liang, P. Wong, Z. Xie, Yongfu Wang
{"title":"Driver Assistance Fuzzy Control for Vehicle Lane Keeping Systems Based on Road Frequency Range","authors":"Wenfeng Li, Jing Zhao, Zhongchao Liang, P. Wong, Z. Xie, Yongfu Wang","doi":"10.1109/IAI55780.2022.9976782","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976782","url":null,"abstract":"This paper proposes a robust driver assistance fuzzy control method for vehicle lane keeping systems based on the road frequency range. First of all, taking the varying velocity, uncertain mass and time delay into account, a Takagi-Sugeno fuzzy model is constructed to approximate the global driver-vehicle-road system. Then, considering that the road curvature frequency usually belongs to a certain range, a finite frequency specification is employed to concern the fuzzy control problem of lane-keeping assistance systems. Moreover, based on the Lyapunov stability theory and the finite frequency specification, a set of sufficient conditions in the form of linear matrix inequalities are presented for the computation of desired controllers. Finally, the effectiveness of the proposed method is illustrated by simulations.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115286891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prescribed Performance Filtering for Generation of Smooth Reference Trajectory 平滑参考轨迹生成的规定性能滤波
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976854
Wei Ding, Jin‐Xi Zhang
{"title":"Prescribed Performance Filtering for Generation of Smooth Reference Trajectory","authors":"Wei Ding, Jin‐Xi Zhang","doi":"10.1109/IAI55780.2022.9976854","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976854","url":null,"abstract":"This paper is concerned with the problem of generating smooth reference trajectories by filtering, for backstepping control designs for nonlinear systems. To solve this problem, a prescribed performance filtering approach is proposed. Our filter is driven by an input signal which is generated recursively. In each design step, a barrier function is employed to confine the filtering error within the predefined bound. In this way, the filtered reference is not only smooth but also approximate the original reference with any high accuracy. The simulation results on the tracking control of a Van der Pol system illustrate the effectiveness and superiority of our approach.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115480881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Fault Detection for Dynamic Systems Based on H̲/H∞Indices 基于H /H∞指标的动态系统分布式故障检测
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976509
Qiang Wang, Chao Cheng, Aichen Sun, Hongtian Chen
{"title":"Distributed Fault Detection for Dynamic Systems Based on H̲/H∞Indices","authors":"Qiang Wang, Chao Cheng, Aichen Sun, Hongtian Chen","doi":"10.1109/IAI55780.2022.9976509","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976509","url":null,"abstract":"With the help of the sensor networks, this paper mainly develops a model-based distributed fault detection method for dynamic systems. Specifically, each sensor node is equipped with a Luenberger observer and a post-filter for residual generation. It is worth mentioning that, the post-filter is designed to improve detection performance through the $H_{-}/H_{infty}$ indices. Moreover, the design parameters are dependent on the linear matrix inequality. Finally, a numerical example is introduced to verify the accuracy and effectiveness of the proposed distributed approach.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reconstruction-based Multi-Scale Anomaly Detection for Cyber-Physical Systems 基于重构的信息物理系统多尺度异常检测
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976844
Zhaocai Dong, Kun Liu, Dongyu Han, Yuan Cao, Yuanqing Xia
{"title":"Reconstruction-based Multi-Scale Anomaly Detection for Cyber-Physical Systems","authors":"Zhaocai Dong, Kun Liu, Dongyu Han, Yuan Cao, Yuanqing Xia","doi":"10.1109/IAI55780.2022.9976844","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976844","url":null,"abstract":"This paper considers anomaly detection for cyber-physical systems, in which the multivariate time series data collected from different sensors have complex temporal dependencies and inter-sensor correlations. We firstly propose an improved unsupervised anomaly detection framework which extracts the temporal and spatial patterns based on the autoencoder and the attention-based convolutional long-short term memory networks. In particular, the original data are fused into the input signature matrices to avoid information loss and an improved sample-based threshold setting approach is proposed to estimate the optimal threshold automatically. Finally, the experiments on two sensor datasets illustrate that our model achieves superior performance over state-of-the-art methods.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115955721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Profile Tracking Control of Reentry Vehicle With Input-constrained Backstepping Sliding Mode Controller 输入约束反演滑模控制器的再入飞行器轮廓跟踪控制
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976736
R. Tang, Biao Luo, Yuxin Liao
{"title":"Profile Tracking Control of Reentry Vehicle With Input-constrained Backstepping Sliding Mode Controller","authors":"R. Tang, Biao Luo, Yuxin Liao","doi":"10.1109/IAI55780.2022.9976736","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976736","url":null,"abstract":"In view of the reentry glide phase guidance problem of hypersonic vehicles, this paper proposes a profile tracking control method based on input-constrained backstepping sliding mode controller (BSMC). First, the multiple path constraints of gliding phase are transformed into the reentry corridor in the drag acceleration-velocity (D-V) profile. A standard profile is designed in the form of a quadratic function, and the function coefficients are optimized by the intelligent algorithm. Based on the second-order differential model of drag acceleration and velocity, an input-constrained BSMC is designed by using the auxiliary system to obtain the control commands required for the longitudinal motion of vehicle. Finally, the tracking performance of the control scheme is verified by numerical simulation of reentry gliding phase.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"49 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122875187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive Dynamic Programming-Based Fault Tolerant Control for Nonlinear Systems with Multiple Failures 基于自适应动态规划的多故障非线性系统容错控制
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976818
Chujian Zeng, Bo Zhao, Derong Liu
{"title":"Adaptive Dynamic Programming-Based Fault Tolerant Control for Nonlinear Systems with Multiple Failures","authors":"Chujian Zeng, Bo Zhao, Derong Liu","doi":"10.1109/IAI55780.2022.9976818","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976818","url":null,"abstract":"This paper investigates the fault tolerant control (FTC) scheme against multiple failures (i.e., both actuator and sensor failures occur simultaneously) for nonlinear systems via adaptive dynamic programming (ADP). A descriptor observer is designed to estimate the system states and failures concurrently. Next, a critic neural network (NN) is used to solve the Hamilton-Jacobi-Bellman (HJB) equation for the nominal system, i.e., the failure-free system, and the approximate optimal control policy is obtained. The FTC law is achieved by combining the estimated system states and failures with the approximate optimal control policy. By using the Lyapunov's direct method, we conclude that the closed-loop system is uniformly ultimately bounded. An example is employed to illustrate the effectiveness of the present FTC method.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123552103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Construction of Combustion Line Quantification Data Set for Municipal Solid Waste Incineration Process 城市生活垃圾焚烧过程燃烧线量化数据集的构建
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976688
Haitao Guo, Jian Tang, Xia Heng, J. Qiao
{"title":"Construction of Combustion Line Quantification Data Set for Municipal Solid Waste Incineration Process","authors":"Haitao Guo, Jian Tang, Xia Heng, J. Qiao","doi":"10.1109/IAI55780.2022.9976688","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976688","url":null,"abstract":"In municipal solid waste incineration (MSWI) process, combustion line is one of the key controlled variables to characterize the combustion stability and operation safety. Realizing the quantification of combustion line can replace “manual fire monitoring”, which can improve the intelligent degree of MSWI process through real-time feedback. However, the quantification of combustion line needs the combustion flame image data set. Currently, there is no standard flame image data set containing multiple combustion line locations. This paper constructs a flame image set containing multiple combustion line locations. First, the flame image acquisition process is introduced. Then, the combustion line level is divided by combining with the location information of three-dimensional space inside the furnace. Finally, a calibration algorithm facing the position of the combustion line is proposed. Thus, combustion flame image dataset was constructed, which provided a reference for relevant researchers to utilize this dataset in the future study.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122534530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Koopman operators and Extended Dynamic Mode Decomposition for a pair of forward and reverse chemical reactions which occur simultaneously 同时发生的一对正反化学反应的Koopman算子和扩展动态模态分解
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976748
J. Leventides, E. Melas, C. Poulios
{"title":"Koopman operators and Extended Dynamic Mode Decomposition for a pair of forward and reverse chemical reactions which occur simultaneously","authors":"J. Leventides, E. Melas, C. Poulios","doi":"10.1109/IAI55780.2022.9976748","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976748","url":null,"abstract":"We apply the Koopman operator theory and Extended Dynamic Mode Decomposition in a pair of forward and reverse chemical reactions which occur simultaneously with comparable speeds. The system of ODES which governs the evolution of the concentration of the reactants constitutes a nonlinear dynamical system with an interesting feature: It possesses uncountable infinite equilibria which reside on an algebraic surface. Koopman operator captures the dynamics of a nonlinear system, however it is infinite dimensional. In this study, we approximate the chemical reaction dynamics with a data-driven finite dimensional linear system which is defined on some augmented state space. We approximate so, with given initial conditions, the trajectories of the system and obtain an alternative description of the system based on Koopman operator theory, Extended Dynamic Mode Decomposition, and Machine Learning.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Multi-objective Optimal Control of Heavy Haul Train Based on Improved Genetic Algorithm 基于改进遗传算法的重载列车多目标优化控制研究
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976810
Hui Yang, Kexuan Xu, Yating Fu
{"title":"Research on Multi-objective Optimal Control of Heavy Haul Train Based on Improved Genetic Algorithm","authors":"Hui Yang, Kexuan Xu, Yating Fu","doi":"10.1109/IAI55780.2022.9976810","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976810","url":null,"abstract":"The study of heavy haul train (HHT) automatic and stable driving strategy has become the focus of many scholars due to the large load capacity, long body length, concentrated power, and complex line conditions. HHT is difficult to control, drivers are fatigued in manual driving, traction and braking force increase during operation, and the transmission time of braking waves is lengthened, resulting in serious longitudinal impulse, which leads to a series of serious accidents. In this paper, aiming at the safe and stable driving of HHT, the dynamic model of multi-particle model was established and designs the multi-objective curve optimization strategy of fuzzy adaptive genetic algorithm (FAGA). A fuzzy reasoner is mainly used for the adaptive selection of crossover and mutation probability. In terms of safety, energy-saving and punctuality designed train operation target curve combines the actual railway routes (speed limit, ramp, curve, etc.), and compares the optimization effect with standard genetic algorithm. Finally, an improved high-order model-free adaptive iterative learning control algorithm is adopted to track the optimized target curve with high precision, and compared the results of the standard iterative learning control algorithm. The simulation results show that the control method used in this paper can better track the ideal speed target curve and realize the optimal control of the HHT driving curve.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133554948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Just-In-Time-Learning Multi-Block Dynamic Independent Component Analysis for Electrical Drive Systems of High-Speed Trains 高速列车电传动系统的实时学习多块动态独立分量分析
2022 4th International Conference on Industrial Artificial Intelligence (IAI) Pub Date : 2022-08-24 DOI: 10.1109/IAI55780.2022.9976655
Xin Wang, Chao Cheng, Sheng Yang, Xiaoyue Yang, Hongtian Chen
{"title":"Just-In-Time-Learning Multi-Block Dynamic Independent Component Analysis for Electrical Drive Systems of High-Speed Trains","authors":"Xin Wang, Chao Cheng, Sheng Yang, Xiaoyue Yang, Hongtian Chen","doi":"10.1109/IAI55780.2022.9976655","DOIUrl":"https://doi.org/10.1109/IAI55780.2022.9976655","url":null,"abstract":"The electric drive system provides traction power for the entire high-speed train system, and its fault detection and diagnosis (FDD) has been widely studied. In this paper, a new method called just-in-time-learning multi-block dynamic independent comparative analysis (JITL-MBDICA) is proposed. The significant advantages of the FDD method based on JITL-MBDICA are: 1) It improves the matching ability of offline models with online data; 2) lt accurately detects faults through multiple modules; 3) It uses Support Vector Data Description (SVDD) to comprehensively analyze the detection results. The false alarms are reduced, The fault detection rate (FDR) is improved; 4) It is suitable for a non-Gaussian electric drive system. the effectiveness of JITL-MBDICA is verified on the high-speed train electric drive system.","PeriodicalId":138951,"journal":{"name":"2022 4th International Conference on Industrial Artificial Intelligence (IAI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133919950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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