Pub Date : 2022-07-01DOI: 10.1016/j.ejcon.2022.100713
R. Abinandhitha, R. Sakthivel, F. Kong, A. Parivallal
{"title":"Robust non-fragile boundary control for non-linear parabolic PDE systems with semi-Markov switching and input quantization","authors":"R. Abinandhitha, R. Sakthivel, F. Kong, A. Parivallal","doi":"10.1016/j.ejcon.2022.100713","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100713","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87153921","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}
Pub Date : 2022-07-01DOI: 10.1016/j.ejcon.2022.100717
A. Gallego, Adolfo J. Sánchez, Juan Manuel Escaño, E. Camacho
{"title":"Nonlinear model predictive control for thermal balance in solar trough plants","authors":"A. Gallego, Adolfo J. Sánchez, Juan Manuel Escaño, E. Camacho","doi":"10.1016/j.ejcon.2022.100717","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100717","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78557165","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}
Pub Date : 2022-07-01DOI: 10.1016/j.ejcon.2022.100718
Gabriela L. Reis, Rodrigo F. Araujo, Leonardo A. B. Tôrres, R. Palhares
{"title":"Stabilization of rational nonlinear discrete-time systems by state feedback and static output feedback","authors":"Gabriela L. Reis, Rodrigo F. Araujo, Leonardo A. B. Tôrres, R. Palhares","doi":"10.1016/j.ejcon.2022.100718","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100718","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89497707","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}
Pub Date : 2022-07-01DOI: 10.1016/j.ejcon.2022.100715
Mehran Ghafarian Tamizi, Ali Akbar Ahmadi Kashani, F. Azad, A. Kalhor, M. T. Masouleh
{"title":"Experimental study on a novel simultaneous control and identification of a 3-DOF delta robot using model reference adaptive control","authors":"Mehran Ghafarian Tamizi, Ali Akbar Ahmadi Kashani, F. Azad, A. Kalhor, M. T. Masouleh","doi":"10.1016/j.ejcon.2022.100715","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100715","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89637195","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}
Pub Date : 2022-07-01DOI: 10.1016/j.ejcon.2022.100712
Jianfeng Sun, Wenkun Chen, Xuesong Chen
{"title":"Model reference adaptive control with adjustable gain for piezoelectric actuator","authors":"Jianfeng Sun, Wenkun Chen, Xuesong Chen","doi":"10.1016/j.ejcon.2022.100712","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100712","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83509187","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}
Pub Date : 2022-06-01DOI: 10.1016/j.ejcon.2022.100700
R. Lamouchi, M. Amairi, T. Raïssi, M. Aoun
{"title":"Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system","authors":"R. Lamouchi, M. Amairi, T. Raïssi, M. Aoun","doi":"10.1016/j.ejcon.2022.100700","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100700","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77790605","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}
Pub Date : 2022-06-01DOI: 10.1016/j.ejcon.2022.100704
Xiao‐Chuang Jin, Jun‐Guo Lu
{"title":"Delay-dependent criteria for robust stability and stabilization of fractional-order time-varying delay systems","authors":"Xiao‐Chuang Jin, Jun‐Guo Lu","doi":"10.1016/j.ejcon.2022.100704","DOIUrl":"https://doi.org/10.1016/j.ejcon.2022.100704","url":null,"abstract":"","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75782930","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}
Pub Date : 2022-04-25DOI: 10.48550/arXiv.2204.11476
Hanrui Wang, Kostas Margellos, A. Papachristodoulou
The task assignment problem is fundamental in combinatorial optimisation, aiming at allocating one or more tasks to a number of agents while minimizing the total cost or maximizing the overall assignment benefit. This problem is known to be computationally hard since it is usually formulated as a mixed-integer programming problem. In this paper, we consider a novel time-triggered dimension reduction algorithm (TTDRA). We propose convexification approaches to convexify both the constraints and the cost function for the general non-convex assignment problem. The computational speed is accelerated via our time-triggered dimension reduction scheme, where the triggering condition is designed based on the optimality tolerance and the convexity of the cost function. Optimality and computational efficiency are verified via numerical simulations on benchmark examples.
{"title":"A Time-Triggered Dimension Reduction Algorithm for the Task Assignment Problem","authors":"Hanrui Wang, Kostas Margellos, A. Papachristodoulou","doi":"10.48550/arXiv.2204.11476","DOIUrl":"https://doi.org/10.48550/arXiv.2204.11476","url":null,"abstract":"The task assignment problem is fundamental in combinatorial optimisation, aiming at allocating one or more tasks to a number of agents while minimizing the total cost or maximizing the overall assignment benefit. This problem is known to be computationally hard since it is usually formulated as a mixed-integer programming problem. In this paper, we consider a novel time-triggered dimension reduction algorithm (TTDRA). We propose convexification approaches to convexify both the constraints and the cost function for the general non-convex assignment problem. The computational speed is accelerated via our time-triggered dimension reduction scheme, where the triggering condition is designed based on the optimality tolerance and the convexity of the cost function. Optimality and computational efficiency are verified via numerical simulations on benchmark examples.","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79889874","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}
Pub Date : 2022-04-18DOI: 10.48550/arXiv.2204.08160
Taha Toghani, César A. Uribe
We study the decentralized consensus and stochastic optimization problems with compressed communications over static directed graphs. We propose an iterative gradient-based algorithm that compresses messages according to a desired compression ratio. The proposed method provably reduces the communication overhead on the network at every communication round. Contrary to existing literature, we allow for arbitrary compression ratios in the communicated messages. We show a linear convergence rate for the proposed method on the consensus problem. Moreover, we provide explicit convergence rates for decentralized stochastic optimization problems on smooth functions that are either (i) strongly convex, (ii) convex, or (iii) non-convex. Finally, we provide numerical experiments to illustrate convergence under arbitrary compression ratios and the communication efficiency of our algorithm.
{"title":"On Arbitrary Compression for Decentralized Consensus and Stochastic Optimization over Directed Networks","authors":"Taha Toghani, César A. Uribe","doi":"10.48550/arXiv.2204.08160","DOIUrl":"https://doi.org/10.48550/arXiv.2204.08160","url":null,"abstract":"We study the decentralized consensus and stochastic optimization problems with compressed communications over static directed graphs. We propose an iterative gradient-based algorithm that compresses messages according to a desired compression ratio. The proposed method provably reduces the communication overhead on the network at every communication round. Contrary to existing literature, we allow for arbitrary compression ratios in the communicated messages. We show a linear convergence rate for the proposed method on the consensus problem. Moreover, we provide explicit convergence rates for decentralized stochastic optimization problems on smooth functions that are either (i) strongly convex, (ii) convex, or (iii) non-convex. Finally, we provide numerical experiments to illustrate convergence under arbitrary compression ratios and the communication efficiency of our algorithm.","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73068396","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}
Pub Date : 2022-04-13DOI: 10.48550/arXiv.2204.06609
G. Pasquale, M. E. Valcher
Recently a model for the interplay between homophily-based appraisal dynamics and influence-based opinion dynamics has been proposed. The model explores for the first time how the opinions of a group of agents on a certain number of issues/topics is influenced by the agents' mutual appraisal and, conversely, the agents' mutual appraisal is updated based on the agents' opinions on the various issues, according to a homophily model. In this paper we show that a simplified (and, in some situations, more feasible) version of the model, that accounts only for the signs of the agents' appraisals rather than for their numerical values, provides an equally accurate and effective model of the opinion dynamics in small networks. The equilibria reached by this model correspond, almost surely, to situations in which the agents' network is complete and structurally balanced. On the other hand, we ensure that such equlibria can always be reached in a finite number of steps, and, differently from the original model, we rule out other types of equilibria that correspond to disconnected social networks.
{"title":"A Bandwagon Bias Based Model for Opinion Dynamics: Intertwining between Homophily and Influence Mechanisms","authors":"G. Pasquale, M. E. Valcher","doi":"10.48550/arXiv.2204.06609","DOIUrl":"https://doi.org/10.48550/arXiv.2204.06609","url":null,"abstract":"Recently a model for the interplay between homophily-based appraisal dynamics and influence-based opinion dynamics has been proposed. The model explores for the first time how the opinions of a group of agents on a certain number of issues/topics is influenced by the agents' mutual appraisal and, conversely, the agents' mutual appraisal is updated based on the agents' opinions on the various issues, according to a homophily model. In this paper we show that a simplified (and, in some situations, more feasible) version of the model, that accounts only for the signs of the agents' appraisals rather than for their numerical values, provides an equally accurate and effective model of the opinion dynamics in small networks. The equilibria reached by this model correspond, almost surely, to situations in which the agents' network is complete and structurally balanced. On the other hand, we ensure that such equlibria can always be reached in a finite number of steps, and, differently from the original model, we rule out other types of equilibria that correspond to disconnected social networks.","PeriodicalId":11813,"journal":{"name":"Eur. J. Control","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87681578","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}
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