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International Journal of Modelling Identification and Control最新文献

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Data driven optimal control for stochastic systems with non-Gaussian disturbances 非高斯扰动随机系统的数据驱动最优控制
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2021-01-01 DOI: 10.1504/ijmic.2021.10048248
Liping Yin, Tao Li, Yue Hong, Lanlan Lai
{"title":"Data driven optimal control for stochastic systems with non-Gaussian disturbances","authors":"Liping Yin, Tao Li, Yue Hong, Lanlan Lai","doi":"10.1504/ijmic.2021.10048248","DOIUrl":"https://doi.org/10.1504/ijmic.2021.10048248","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"26 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74001551","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
Adaptation of deep learning auditory event recognition and detection in audio surveillance systems 音频监控系统中深度学习听觉事件识别与检测的适应性
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2021-01-01 DOI: 10.1504/ijmic.2021.10048115
K. Laabidi, S. Alsubhi, Ahad Alkabsani, Safiah Endargiri
{"title":"Adaptation of deep learning auditory event recognition and detection in audio surveillance systems","authors":"K. Laabidi, S. Alsubhi, Ahad Alkabsani, Safiah Endargiri","doi":"10.1504/ijmic.2021.10048115","DOIUrl":"https://doi.org/10.1504/ijmic.2021.10048115","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"41 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74444161","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
Induction motor current ripple minimisation with PV-based SEPIC-cascaded inverter 基于pv的sepic级联逆变器的感应电机电流纹波最小化
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/IJMIC.2020.10035278
Walid Emar, Z. Huneiti, Zakaria Al Omari
{"title":"Induction motor current ripple minimisation with PV-based SEPIC-cascaded inverter","authors":"Walid Emar, Z. Huneiti, Zakaria Al Omari","doi":"10.1504/IJMIC.2020.10035278","DOIUrl":"https://doi.org/10.1504/IJMIC.2020.10035278","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"29 1","pages":"151"},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77930123","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: 1
Adaptive combination synchronisation of unknown chaotic Lorenz, L 未知混沌Lorenz的自适应组合同步
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/IJMIC.2020.10038189
M. A. Sawalha, Y. Jawarneh, Israr Ahmad, M. Shatnawi
{"title":"Adaptive combination synchronisation of unknown chaotic Lorenz, L","authors":"M. A. Sawalha, Y. Jawarneh, Israr Ahmad, M. Shatnawi","doi":"10.1504/IJMIC.2020.10038189","DOIUrl":"https://doi.org/10.1504/IJMIC.2020.10038189","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"236 1","pages":"34"},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77143654","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
A tracking method for inland river ship based on dual filters 一种基于双滤波器的内河船舶跟踪方法
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/IJMIC.2020.10036392
Xiaoben Lei, Xu Minghai, Hu Zhongyi
{"title":"A tracking method for inland river ship based on dual filters","authors":"Xiaoben Lei, Xu Minghai, Hu Zhongyi","doi":"10.1504/IJMIC.2020.10036392","DOIUrl":"https://doi.org/10.1504/IJMIC.2020.10036392","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77041705","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
System identification of proportional solenoid valve dynamics. 比例电磁阀动力学系统辨识。
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 Epub Date: 2020-10-13 DOI: 10.1504/ijmic.2020.10032851
Bakir Hajdarevic, Jacob Herrmann, Andrea Fonseca da Cruz, David W Kaczka
{"title":"System identification of proportional solenoid valve dynamics.","authors":"Bakir Hajdarevic,&nbsp;Jacob Herrmann,&nbsp;Andrea Fonseca da Cruz,&nbsp;David W Kaczka","doi":"10.1504/ijmic.2020.10032851","DOIUrl":"https://doi.org/10.1504/ijmic.2020.10032851","url":null,"abstract":"<p><p>We present a system identification technique for the characterisation of the linearity and dynamic response of a PSOL valve and its corresponding electronic control unit (ECU) using bandlimited white noise, as well as pseudo random \"non-sum non-difference\" (NSND) waveforms consisting of mutually prime frequencies to mitigate the effects of nonlinear distortions. The parameters of several transfer function models were simultaneously estimated from the voltage-flow frequency response using a nonlinear gradient descent technique. Candidate transfer function models were assessed using the mean squared residual (MSR) criterion and the corrected Akaike information criterion (AICc). The MSR yielded a transfer function consisting of 10 poles and 9 zeros, while the AICc yielded a simpler transfer function consisting of 5 poles and 3 zeros. Monte Carlo analysis demonstrated fragile stability for the MSR-selected model with respect to varying parameter values within estimated uncertainties, yet a robust stability for the AICc-selected model.</p>","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"34 2","pages":"103-115"},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654981/pdf/nihms-1632285.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38692892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Estimation of inhalation exposure to metals among welders of a steel company using MEASE model: as a screening tool for estimates of occupational exposure 使用MEASE模型估计钢铁公司焊工的金属吸入暴露:作为职业暴露估计的筛选工具
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/ijmic.2020.10030641
M. Rismanchian, Younes Mehrifar, S. K. Zeverdegani
{"title":"Estimation of inhalation exposure to metals among welders of a steel company using MEASE model: as a screening tool for estimates of occupational exposure","authors":"M. Rismanchian, Younes Mehrifar, S. K. Zeverdegani","doi":"10.1504/ijmic.2020.10030641","DOIUrl":"https://doi.org/10.1504/ijmic.2020.10030641","url":null,"abstract":"","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"4 1","pages":"163-170"},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72413817","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: 1
RBF NN observer based adaptive feedback control for the ABS system under parametric uncertainties and modelling errors 基于RBF神经网络观测器的ABS系统参数不确定性和建模误差自适应反馈控制
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/IJMIC.2020.10037492
A. Hamou, Rabhi Abdelhamid, Belkheiri Mohammed
{"title":"RBF NN observer based adaptive feedback control for the ABS system under parametric uncertainties and modelling errors","authors":"A. Hamou, Rabhi Abdelhamid, Belkheiri Mohammed","doi":"10.1504/IJMIC.2020.10037492","DOIUrl":"https://doi.org/10.1504/IJMIC.2020.10037492","url":null,"abstract":"An antilock braking (ABS) scheme control is a relatively difficult task due to its uncertain nonlinear dynamics. According to the requirement that the braking process must be fast and robust, we contribute to extending the universal function approximation property of the radial-basis-function (RBF) neural network (NN) to design both: (a) adaptive NN observer to estimate the tracking error dynamics; and (b) intelligent NN output feedback controller (OFC) that will overcome successfully the existing high uncertainties. Notice that the OFC is introduced to linearise the ABS nonlinear system, and the dynamic compensator is involved to stabilise the linearised system. The estimated states are used in the adaptation laws as an error signal. Simulations of the proposed control algorithm based adaptive RBFNN observer are conducted then compared to the Bang-bang controller to demonstrate its practical potential. Furthermore, its efficiency has been successfully confirmed through a robustness test.","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"54 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85803261","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
Roll angle dynamic control of unicycle robot using backstepping controller and sliding mode controller 基于反步控制器和滑模控制器的独轮车机器人滚转角动态控制
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2020-01-01 DOI: 10.1504/ijmic.2020.10040954
Elkinany Boutaina, Alfidi Mohammed, Chalh Zakaria
{"title":"Roll angle dynamic control of unicycle robot using backstepping controller and sliding mode controller","authors":"Elkinany Boutaina, Alfidi Mohammed, Chalh Zakaria","doi":"10.1504/ijmic.2020.10040954","DOIUrl":"https://doi.org/10.1504/ijmic.2020.10040954","url":null,"abstract":"The unicycle robot is the most sophisticated and the newest mechanism used in robotics industry regarding its high degree of mobility. It represents an unbalanced, non-holonomic system that can move and stand with only one wheel. Accordingly, it is the best platform for researchers to model and study stability. This paper focuses on the modelling of the unicycle robot using the Lagrangian dynamic formulation. Henceforth, two nonlinear controllers are presented: the sliding mode and the backstepping controllers that were designed to control the roll angle. Both controllers were simulated and the results showed that the stabilisation of the roll angle can achieve a good performance and good robustness using the backstepping controller rather than the sliding mode controller (SMC).","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"154 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75052576","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: 1
Fuzzy H∞ filtering for nonlinear 2D systems in the Roesser model 二维非线性系统的Roesser模型模糊H∞滤波
IF 0.7
International Journal of Modelling Identification and Control Pub Date : 2019-12-31 DOI: 10.1504/ijmic.2019.10026100
Khalid Badie, M. Alfidi, Z. Chalh
{"title":"Fuzzy H∞ filtering for nonlinear 2D systems in the Roesser model","authors":"Khalid Badie, M. Alfidi, Z. Chalh","doi":"10.1504/ijmic.2019.10026100","DOIUrl":"https://doi.org/10.1504/ijmic.2019.10026100","url":null,"abstract":"This study focuses on the H∞ filtering problem for two-dimensional (2D) discrete Takagi-Sugeno (T-S) fuzzy systems in the Roesser model. The objective is to design a stable filter guaranteeing the asymptotic stability and a prescribed H∞ performance of the filtering error system. By using a new structure of the fuzzy Lyapunov function, and some analysis techniques, the stability and a prescribed H∞ performance index are guaranteed for the overall filtering-error system, such that the coupling between the Lyapunov matrix and the system matrices is removed. In addition, sufficient conditions for the existence of such a filter are established in term of linear matrix inequalities (LMIs). When these LMIs are feasible, the explicit expression of the desired filter can be characterised. An illustrative example is presented to demonstrate the effectiveness of the developed results.","PeriodicalId":46456,"journal":{"name":"International Journal of Modelling Identification and Control","volume":"28 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85228628","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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