Journal of Control and Decision最新文献

{"title":"Stability of conformable fractional time-varying linear systems","authors":"Abdellaziz Binid, Toufik Ennouari, B. Abouzaid","doi":"10.1080/23307706.2023.2284154","DOIUrl":"https://doi.org/10.1080/23307706.2023.2284154","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"81 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Input-to-state stability and integral input-to-state stability in various norms for 1-D nonlinear parabolic PDEs","authors":"Qiaoling Chen, Jun Zheng, G. Zhu","doi":"10.1080/23307706.2023.2284155","DOIUrl":"https://doi.org/10.1080/23307706.2023.2284155","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"65 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of discretisation methods for time-delay systems","authors":"Pooja Sharma, Satyanarayana Neeli","doi":"10.1080/23307706.2023.2273352","DOIUrl":"https://doi.org/10.1080/23307706.2023.2273352","url":null,"abstract":"AbstractTime delay is an inherent characteristic of real-world phenomena which may affect the system's characteristic. The systems including delay are known as time-delay systems, they are represented using delay differential equations. Modeling, discretisation, stability and control design for time-delay systems are still challenging in modern control theory. This paper systematically overviews available discretisation methods of linear and nonlinear time-delay systems. Emphasis is placed on illustrating fundamental results and recent progress on discretisation methods for delay systems. Numerous methods for the discretisation of linear and nonlinear systems considering input delays, state or output delays in the system's dynamics have been presented. A particular attention will be paid to illustrate effects of the discretisation process on the stability of discretised systems. Examples of mathematical descriptions, problems, and performance analysis for delay systems are presented. The presentation of discretisation methods is as easy as possible, focussing more on the main ideas and mathematical concepts by analogy. Finally, some possible future research directions to be tackled by researchers in this field are discussed.Keywords: Delaylinearnonlineardiscretisation methodsample data control system Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsPooja SharmaPooja Sharma received her B.Tech. from Engineering College Bikaner, and an M.Tech. in 2014 from RTU, University Department. She is a research scholar at Malaviya National Institute of Technology, Jaipur. Her research interests include discretisation, stability, and PID control for time-delay systems.Satyanarayana NeeliSatyanarayana Neeli received his B.Tech. in EEE, and M.E. with specialisation in Control Systems, from JNTU Hyderabad, and Andhra University Visakhapatnam, respectively. He did PhD in the field of system and control engineering in electrical engineering, from IIT Delhi, New Delhi. He is currently an assistant professor at Malaviya National Institute of Technology Jaipur. His current research areas are, estimation and control of unknown input systems, nonlinear systems, stability of time-delay systems, Predictive control, and Applications of control theory in the fields of power electronics and power systems.","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":" 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135340519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability modelling with uncertain threshold and fractional differential degenerate equation in uncertain environment","authors":"Chun Wei, Haiyan Shi, Baoliang Liu, Zhiqiang Zhang, Yanqing Wen","doi":"10.1080/23307706.2023.2264295","DOIUrl":"https://doi.org/10.1080/23307706.2023.2264295","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"6 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135391791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exact tracking of nonlinear systems under triggering state signals","authors":"Shu-Yi Wei, Yuan-Xin Li","doi":"10.1080/23307706.2023.2258525","DOIUrl":"https://doi.org/10.1080/23307706.2023.2258525","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"34 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135872742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust control allocation method for uncertain systems based on the algorithms of maximum–minimum and improved fish swarm","authors":"Xingyuan Yang, Xi Tong, Yangwang Fang","doi":"10.1080/23307706.2023.2261939","DOIUrl":"https://doi.org/10.1080/23307706.2023.2261939","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"102 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135871263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trajectory controllability of neutral stochastic integrodifferential equations with mixed fractional Brownian motion","authors":"Dimplekumar Chalishajar, Ravikumar Kasinathan, Ramkumar Kasinathan, Dhanalakshmi Kasinathan, John A. David","doi":"10.1080/23307706.2023.2271899","DOIUrl":"https://doi.org/10.1080/23307706.2023.2271899","url":null,"abstract":"","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136070356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Equilibrium analysis for multi-defender Stackelberg security games under a logit tie-breaking rule","authors":"Ling Chen, Mingchu Li","doi":"10.1080/23307706.2023.2266697","DOIUrl":"https://doi.org/10.1080/23307706.2023.2266697","url":null,"abstract":"AbstractWe introduce a general multi-defender Stackelberg security game where multiple independent defenders jointly protect a same set of targets from being attacked by a common attacker. In the game, Strong Stackelberg Equilibrium is fundamentally problematic, because the notion of ‘breaking ties in defender's favour’ is no longer well defined, as we must specify which defender will receive the favour. To address this issue, we define a new equilibrium concept under a newly defined tie-breaking rule. We characterise Logit Stackelberg Multi-Defender Equilibrium, corresponding to a logit tie-breaking rule, as well as an equivalent Nash Equilibrium among defenders, and exhibit algorithms for computing the equilibrium solutions. We find that Logit Stackelberg Multi-Defender Equilibrium and its' equivalent Nash Equilibrium may not exist, which motivates us to find an approximate equilibrium. We design a revised exclusion algorithm to find the approximate ε-Nash Equilibrium in which no defender gains more than ε by deviating.KEYWORDS: Multi-defender security gametie-breaking rulelogit Stackelberg multi-defender equilibriumNash equilibriumexclusion method AcknowledgmentsThe authors thank the editor and the anonymous referees for their valuable comments and suggestions, which greatly helped improve the content and presentation of this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe paper is supported by the National Natural Science Foundation of China [grant numbers 61572095, 61877007] and Department of Science and Technology of Shanxi Province [grant numbers 20210302124303, 202203021222251].Notes on contributorsLing ChenLing Chen received the B.S. degree in statistics from Shandong University, Weihai and the Ph.D. degree in mathematics from Dalian University of Technology. Starting from 2021, she is working as a lecturer at Taiyuan Normal University. Her current research includes security game, optimisation and decision-making.Mingchu LiMingchu Li received the B.S. degree in mathematics from Jiangxi Normal University, in 1983, the M.S. degree in applied science from the University of Science and Technology Beijing, in 1989, and the Ph.D. degree in mathematics from the University of Toronto, in 1997. He was an Associate Professor at the University of Science and Technology Beijing, from 1989 to 1994. He was engaged in the research and development of information security at Long View Solution Inc. and Compute Ware Inc., from 1997 to 2002. Since 2002, he has been a Full Professor with the School of Software, Tianjin University. He has been at the School of Software Technology, Dalian University of Technology, as a Full Professor, a Ph.D. Supervisor, and the Vice Dean. His main research interests include theoretical computer science and cryptography. His other research interests include graph theory, network security, and game theory.","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136134694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust fault-tolerant control of a class of uncertain nonlinear switched systems with actuator saturation","authors":"Yahui Li, Xiaoyin Li, Xinquan Zhang","doi":"10.1080/23307706.2023.2260817","DOIUrl":"https://doi.org/10.1080/23307706.2023.2260817","url":null,"abstract":"AbstractThis paper addresses the robust fault-tolerant control problem for a class of uncertain nonlinear switched systems with actuator saturation. Our aim is to design a switching law and a robust fault-tolerant control law for guaranteeing that the closed-loop system is asymptotically stabilizable, while at the same time the attraction domain estimation is as large as possible. By using the multiple Lyapunov functions method, sufficient conditions for robust fault-tolerant stabilisation are proposed for the closed-loop system. Then, when some scalar parameters are given in advance, the problem of fault-tolerant controller design and attraction domain estimation is transformed into a convex optimisation problem with linear matrix inequality (LMI) constraints. Finally the validity of the proposed design method is verified by a numerical example.Keywords: Switched systemsfault-tolerant controlattraction domainmultiple Lyapunov functionsactuator saturation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Scientific Research Fund of Education Department of Liaoning Province of China [grant number LJKMZ20220731]. This work was supported by the Natural Science Foundation of Liaoning Province of China [grant number 2020-MS-283].Notes on contributorsYahui LiYahui Li received the B.S. degree from Hebei Normal University Of science & technology, Now she is working towards the Master degree at school of Information and Control Engineering, Liaoning Petrochemical University, Fushun, China. Her research interest focuses on switched systems and fault-tolerant control.Xiaoyin LiXiaoyin Li received the B.Sc. degree in Computer Information Management from Shenyang Normal University in Shenyang, China, in 2007. She completed her M.Sc. degree in Mathematics and Applied Mathematics from Liaoning Technical University in Fuxin, China, in 2011. Her research interests include switched systems, saturated systems and system performance optimisation.Xinquan ZhangXinquan Zhang received the B.Sc. degree in Automation and M.Sc. degree in Control Theory & Engineering from Liaoning Technical University in Fuxin, China, in 2003 and 2007, respectively. He completed his Ph.D. in Control Theory and Control Engineering in 2012 at the College of Information Science & Engineering, of the Northeastern University of Shenyang, China. Since 2017, as an associate professor, he has been with School of Information and Control Engineering, Liaoning Petrochemical University, China. His research interests include switched systems, robust control and systems control under constraints.","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"40 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135412463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent demand forecasting in marketing sector using concatenated CNN with ANFIS enhanced by heuristic algorithm","authors":"N. Srikanth Reddy","doi":"10.1080/23307706.2023.2257695","DOIUrl":"https://doi.org/10.1080/23307706.2023.2257695","url":null,"abstract":"AbstractThis task introduces a novel demand forecasting method using concatenated Convolutional Neural Network (CNN) with an Adaptive Network-based Fuzzy Inference System (ANFIS). The data regarding the historical demand and sales data in integration with ‘advertising effectiveness, expenditure, promotions, and marketing events data' are collected initially. Then, the first-order statistical metrics and second-order statistical metrics are determined as the significant features of the data. Finally, the forecasting is performed by the concatenation of modified CNN with ANFIS termed Concatenated Learning Model (CLM), in which the CNN learns the optimal features that are forecasted by the ANFIS layer instead of the fully connected layer. Deer Hunting with Modified Wind Angle Search (DH-MWS) is used to enhance the CNN and ANFIS architecture, ensuring better performance during forecasting. Simulation findings demonstrate that when the proposed solution is applied to public data, the store achieves improved accuracies concerning intelligent demand forecasting in the marketing sector.KEYWORDS: Demand forecastingmarketing sectorconcatenated learning modeldeer hunting with modified wind angle search Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsN. Srikanth ReddyN. Srikanth Reddy. A Commerce graduate with Post-Graduation in Management and Doctorate in Management. More than 15 years of experience in education and research. Areas of interest include Marketing, Systems and Analytics.","PeriodicalId":37267,"journal":{"name":"Journal of Control and Decision","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136112233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}