Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101317
Giacomo Delcaro, Lorenzo Parietti, Simone Formentin, Sergio Matteo Savaresi
This work presents the first application of the recently developed Twin-in-the-Loop Control (TiL-C) approach to a disturbance rejection problem, focusing on the regulation of an active suspension system. By evaluating mismatches between the digital twin and the actual vehicle, the study identifies limitations in TiL-C and proposes new compensation strategies to address the simulation-to-reality gap in controller tuning during the end-of-line phase. The findings demonstrate TiL-C’s potential to connect digital and physical systems, enabling broader applications of TiL-C across multiple fields.
{"title":"Twin-in-the-Loop disturbance rejection with application to active suspension systems","authors":"Giacomo Delcaro, Lorenzo Parietti, Simone Formentin, Sergio Matteo Savaresi","doi":"10.1016/j.ejcon.2025.101317","DOIUrl":"10.1016/j.ejcon.2025.101317","url":null,"abstract":"<div><div>This work presents the first application of the recently developed Twin-in-the-Loop Control (TiL-C) approach to a disturbance rejection problem, focusing on the regulation of an active suspension system. By evaluating mismatches between the digital twin and the actual vehicle, the study identifies limitations in TiL-C and proposes new compensation strategies to address the simulation-to-reality gap in controller tuning during the end-of-line phase. The findings demonstrate TiL-C’s potential to connect digital and physical systems, enabling broader applications of TiL-C across multiple fields.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101317"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101335
Jan Quan, Brecht Evens, Rodolphe Sepulchre, Panagiotis Patrinos
The scaled relative graph (SRG) is a powerful graphical tool for analyzing the properties of operators, by mapping their graph onto the complex plane. In this work, we study the SRG of two classes of nonmonotone operators, namely the general class of semimonotone operators and a class of angle-bounded operators. In particular, we provide an analytical description of the SRG of these classes and show that membership of an operator to these classes can be verified through geometric containment of its SRG. To illustrate the importance of these results, we provide several examples in the context of electrical circuits. Most notably, we show that the Ebers–Moll transistor belongs to the class of angle-bounded operators and use this result to compute the response of a common-emitter amplifier using Chambolle–Pock, despite the underlying nonsmoothness and multi-valuedness, leveraging recent convergence results for this algorithm in the nonmonotone setting.
{"title":"Scaled relative graphs for nonmonotone operators with applications in circuit theory","authors":"Jan Quan, Brecht Evens, Rodolphe Sepulchre, Panagiotis Patrinos","doi":"10.1016/j.ejcon.2025.101335","DOIUrl":"10.1016/j.ejcon.2025.101335","url":null,"abstract":"<div><div>The scaled relative graph (SRG) is a powerful graphical tool for analyzing the properties of operators, by mapping their graph onto the complex plane. In this work, we study the SRG of two classes of nonmonotone operators, namely the general class of semimonotone operators and a class of angle-bounded operators. In particular, we provide an analytical description of the SRG of these classes and show that membership of an operator to these classes can be verified through geometric containment of its SRG. To illustrate the importance of these results, we provide several examples in the context of electrical circuits. Most notably, we show that the Ebers–Moll transistor belongs to the class of angle-bounded operators and use this result to compute the response of a common-emitter amplifier using Chambolle–Pock, despite the underlying nonsmoothness and multi-valuedness, leveraging recent convergence results for this algorithm in the nonmonotone setting.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101335"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task is particularly relevant in control applications, whenever real-time and robust estimation of dynamic cost/reward functions in safety critical settings has to be performed. In this paper, we adopt a finite-dimensional approximation of a Gaussian process, corresponding to a Bayesian linear regression in an appropriate feature space, and propose a new algorithm, DistKP, to track the time-varying coefficients via a distributed Kalman filter. The proposed method works for arbitrary kernels and under weaker assumptions on the time-evolution of the function to learn compared to the literature. We validate our results using a simulation example in which a fleet of Unmanned Aerial Vehicles (UAVs) learns a dynamically changing wind field.
{"title":"Distributed time-varying Gaussian process regression via Kalman filtering","authors":"Nicola Taddei , Riccardo Maggioni , Jaap Eising , Giulia De Pasquale , Florian Dörfler","doi":"10.1016/j.ejcon.2025.101371","DOIUrl":"10.1016/j.ejcon.2025.101371","url":null,"abstract":"<div><div>We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task is particularly relevant in control applications, whenever real-time and robust estimation of dynamic cost/reward functions in safety critical settings has to be performed. In this paper, we adopt a finite-dimensional approximation of a Gaussian process, corresponding to a Bayesian linear regression in an appropriate feature space, and propose a new algorithm, DistKP, to track the time-varying coefficients via a distributed Kalman filter. The proposed method works for arbitrary kernels and under weaker assumptions on the time-evolution of the function to learn compared to the literature. We validate our results using a simulation example in which a fleet of Unmanned Aerial Vehicles (UAVs) learns a dynamically changing wind field.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101371"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101292
Amit Bhaya , Pierre-Alexandre Bliman
The Sterile Insect Technique (SIT) is a promising control method against insect pests and insect vectors. It consists in releasing males previously sterilized in laboratory, in order to reduce or eliminate a specific wild population. We study the implementation of SIT-based elimination campaign of Aedes mosquitoes using feedback control. We provide state-feedback and output-feedback control laws and establish their convergence, as well as their robustness properties. In this design procedure, a pivotal role is played by the use of properties of monotone systems. Simple illustrative simulations are provided.
{"title":"Feedback design for biological control by the sterile insect release technique exploiting monotone system theory","authors":"Amit Bhaya , Pierre-Alexandre Bliman","doi":"10.1016/j.ejcon.2025.101292","DOIUrl":"10.1016/j.ejcon.2025.101292","url":null,"abstract":"<div><div>The Sterile Insect Technique (SIT) is a promising control method against insect pests and insect vectors. It consists in releasing males previously sterilized in laboratory, in order to reduce or eliminate a specific wild population. We study the implementation of SIT-based elimination campaign of <em>Aedes</em> mosquitoes using feedback control. We provide state-feedback and output-feedback control laws and establish their convergence, as well as their robustness properties. In this design procedure, a pivotal role is played by the use of properties of monotone systems. Simple illustrative simulations are provided.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101292"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101370
Vaibhav Kumar Singh , Lorenzo Zino , Gabriel Muinos , Jacquelien M.A. Scherpen , Michele Cucuzzella
Motivated by theories and evidence from the social psychology literature, we propose a novel continuous-time mathematical model that captures the evolution of motivation and behavior of energy consumers in a social network. In our model, consumers are connected to the energy grid and their energy demand (which we shall refer to as their behavior) is affected by their personal motivation on reducing (or increasing) their energy consumption. The motivation-behavior dynamics of each consumer is modeled using a second-order continuous-time bilinear differential equation. Each consumer has the ability to share their motivation on a social network and observe the behavior of other consumers. Using the information gathered from their peers and their personal bias about the energy consumption behavior, consumers have the ability to revise their own motivation about energy consumption and, ultimately, their behavior. Moreover, we incorporate into the model an external control action that captures the implementation of external behavioral interventions that influence the weight each consumer assigns to their own bias. Then, we use the proposed framework to shed light on the collective motivation-behavior dynamics of all the consumers, establishing conditions for the existence of equilibria, characterizing them, and performing a sensitivity analysis of such equilibria with respect to variations in the steady-state interventions provided to each consumer.
{"title":"An opinion dynamics approach to model and analyze the behavior of consumers in an energy network","authors":"Vaibhav Kumar Singh , Lorenzo Zino , Gabriel Muinos , Jacquelien M.A. Scherpen , Michele Cucuzzella","doi":"10.1016/j.ejcon.2025.101370","DOIUrl":"10.1016/j.ejcon.2025.101370","url":null,"abstract":"<div><div>Motivated by theories and evidence from the social psychology literature, we propose a novel continuous-time mathematical model that captures the evolution of motivation and behavior of energy consumers in a social network. In our model, consumers are connected to the energy grid and their energy demand (which we shall refer to as their behavior) is affected by their personal motivation on reducing (or increasing) their energy consumption. The motivation-behavior dynamics of each consumer is modeled using a second-order continuous-time bilinear differential equation. Each consumer has the ability to share their motivation on a social network and observe the behavior of other consumers. Using the information gathered from their peers and their personal bias about the energy consumption behavior, consumers have the ability to revise their own motivation about energy consumption and, ultimately, their behavior. Moreover, we incorporate into the model an external control action that captures the implementation of external behavioral interventions that influence the weight each consumer assigns to their own bias. Then, we use the proposed framework to shed light on the collective motivation-behavior dynamics of all the consumers, establishing conditions for the existence of equilibria, characterizing them, and performing a sensitivity analysis of such equilibria with respect to variations in the steady-state interventions provided to each consumer.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101370"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101313
Frida Heskebeck , Pex Tufvesson , Ask Hällström
This study examines the effectiveness of LU-PZE3, a web-based interactive tool designed to help students visualize and interact with fundamental concepts in automatic control. A total of 200 students enrolled in an introductory course on automatic control had the option to use LU-PZE as an additional resource for learning. LU-PZE offers users randomized quizzes, structured assignments, and real-time visualizations of theoretical concepts. An analysis of student usage shows that LU-PZE successfully increased student engagement and improved their understanding of automatic control principles. Student feedback also reveals that the students appreciate interactive tools for learning. These findings suggest that LU-PZE can be a valuable tool for teachers to promote active learning and enhance student outcomes in introductory courses in automatic control.
{"title":"Student usage of Lund University Pole-Zero Explorer interactive tool in automatic control teaching","authors":"Frida Heskebeck , Pex Tufvesson , Ask Hällström","doi":"10.1016/j.ejcon.2025.101313","DOIUrl":"10.1016/j.ejcon.2025.101313","url":null,"abstract":"<div><div>This study examines the effectiveness of LU-PZE<span><span><sup>3</sup></span></span>, a web-based interactive tool designed to help students visualize and interact with fundamental concepts in automatic control. A total of 200 students enrolled in an introductory course on automatic control had the option to use LU-PZE as an additional resource for learning. LU-PZE offers users randomized quizzes, structured assignments, and real-time visualizations of theoretical concepts. An analysis of student usage shows that LU-PZE successfully increased student engagement and improved their understanding of automatic control principles. Student feedback also reveals that the students appreciate interactive tools for learning. These findings suggest that LU-PZE can be a valuable tool for teachers to promote active learning and enhance student outcomes in introductory courses in automatic control.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101313"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101362
Lampros N. Bikas, Anastasia-Kyriaki G. Mavridou, George A. Rovithakis
This paper addresses the enhancement of prescribed performance control (PPC) robustness under inelastic actuator faults. PPC is a control strategy that enforces user-defined bounds on output tracking errors to ensure desired transient and steady-state performance, assuming ideal actuator functioning. However, actuator faults compromise this guarantee, risking violation of performance bounds and potential system instability. To overcome this limitation, a robust modification of the conventional PPC is proposed, capable of effectively managing errors during performance bound violations while maintaining closed-loop stability. The approach ensures finite-time error recovery to the prescribed bounds once faults are mitigated, without relying on fault detection mechanisms, thereby simplifying the control scheme. Theoretical analysis confirms the stability and robustness of the proposed controller, and simulation studies validate its effectiveness.
{"title":"Fault-tolerant prescribed performance control for a class of uncertain nonlinear systems","authors":"Lampros N. Bikas, Anastasia-Kyriaki G. Mavridou, George A. Rovithakis","doi":"10.1016/j.ejcon.2025.101362","DOIUrl":"10.1016/j.ejcon.2025.101362","url":null,"abstract":"<div><div>This paper addresses the enhancement of prescribed performance control (PPC) robustness under inelastic actuator faults. PPC is a control strategy that enforces user-defined bounds on output tracking errors to ensure desired transient and steady-state performance, assuming ideal actuator functioning. However, actuator faults compromise this guarantee, risking violation of performance bounds and potential system instability. To overcome this limitation, a robust modification of the conventional PPC is proposed, capable of effectively managing errors during performance bound violations while maintaining closed-loop stability. The approach ensures finite-time error recovery to the prescribed bounds once faults are mitigated, without relying on fault detection mechanisms, thereby simplifying the control scheme. Theoretical analysis confirms the stability and robustness of the proposed controller, and simulation studies validate its effectiveness.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101362"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper deals with nonlinear boundary stabilization of a 1D reaction–diffusion equation with input delay. Using the modal decomposition approach, we propose a homogeneous-based predictor feedback for stabilizing the unstable modes. We prove the stability of the closed-loop system via the construction of a suitable Lyapunov functional. We present numerical simulations to support the analytical results and compare our proposed controller to linear predictor feedback regarding closed-loop performance and peaking effect.
{"title":"Homogeneous predictor feedback for a 1D reaction–diffusion equation with input delay","authors":"Mericel Ayamou , Nicolas Espitia , Andrey Polyakov , Emilia Fridman","doi":"10.1016/j.ejcon.2025.101363","DOIUrl":"10.1016/j.ejcon.2025.101363","url":null,"abstract":"<div><div>This paper deals with nonlinear boundary stabilization of a 1D reaction–diffusion equation with input delay. Using the modal decomposition approach, we propose a <em>homogeneous</em>-based predictor feedback for stabilizing the unstable modes. We prove the stability of the closed-loop system via the construction of a suitable Lyapunov functional. We present numerical simulations to support the analytical results and compare our proposed controller to linear predictor feedback regarding closed-loop performance and peaking effect.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101363"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101372
Tatiana Tatarenko , Maryam Kamgarpour
We consider generalized Nash equilibrium (GNE) problems in games with strongly monotone pseudo-gradients and jointly linear coupling constraints. We establish the convergence rate of a payoff-based approach intended to learn a variational GNE (v-GNE) in such games. While convergent algorithms have recently been proposed in this setting given full or partial information of the gradients, rate of convergence in the payoff-based information setting has been an open problem. Leveraging properties of a game extended from the original one by a dual player, we establish a convergence rate of to a v-GNE of the game.
{"title":"Convergence rate of payoff-based generalized Nash equilibrium learning","authors":"Tatiana Tatarenko , Maryam Kamgarpour","doi":"10.1016/j.ejcon.2025.101372","DOIUrl":"10.1016/j.ejcon.2025.101372","url":null,"abstract":"<div><div>We consider generalized Nash equilibrium (GNE) problems in games with strongly monotone pseudo-gradients and jointly linear coupling constraints. We establish the convergence rate of a payoff-based approach intended to learn a variational GNE (v-GNE) in such games. While convergent algorithms have recently been proposed in this setting given full or partial information of the gradients, rate of convergence in the payoff-based information setting has been an open problem. Leveraging properties of a game extended from the original one by a dual player, we establish a convergence rate of <span><math><mrow><mi>O</mi><mrow><mo>(</mo><mfrac><mrow><mn>1</mn></mrow><mrow><msup><mrow><mi>t</mi></mrow><mrow><mn>4</mn><mo>/</mo><mn>7</mn></mrow></msup></mrow></mfrac><mo>)</mo></mrow></mrow></math></span> to a v-GNE of the game.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101372"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.ejcon.2025.101373
Yifan Xie, Julian Berberich, Felix Brändle, Frank Allgöwer
This paper presents a data-driven min–max model predictive control (MPC) scheme for linear parameter-varying (LPV) systems. The goal is to steer the system to the origin while ensuring that the closed-loop system satisfies input and state constraints. Contrary to existing data-driven LPV control approaches, we assume that the scheduling signal is unknown during offline data collection and online system operation. Assuming a quadratic matrix inequality (QMI) description for the scheduling signal, we develop a novel data-driven characterization of the consistent system matrices using only input-state data. The proposed data-driven min–max MPC minimizes a tractable upper bound on the worst-case cost over the consistent system matrices set and all scheduling signals satisfying the QMI. The proposed approach guarantees recursive feasibility, closed-loop exponential stability and constraint satisfaction if it is feasible at the initial time. We demonstrate the effectiveness of the proposed method in simulation.
{"title":"Data-driven min–max MPC for LPV systems with unknown scheduling signal","authors":"Yifan Xie, Julian Berberich, Felix Brändle, Frank Allgöwer","doi":"10.1016/j.ejcon.2025.101373","DOIUrl":"10.1016/j.ejcon.2025.101373","url":null,"abstract":"<div><div>This paper presents a data-driven min–max model predictive control (MPC) scheme for linear parameter-varying (LPV) systems. The goal is to steer the system to the origin while ensuring that the closed-loop system satisfies input and state constraints. Contrary to existing data-driven LPV control approaches, we assume that the scheduling signal is unknown during offline data collection and online system operation. Assuming a quadratic matrix inequality (QMI) description for the scheduling signal, we develop a novel data-driven characterization of the consistent system matrices using only input-state data. The proposed data-driven min–max MPC minimizes a tractable upper bound on the worst-case cost over the consistent system matrices set and all scheduling signals satisfying the QMI. The proposed approach guarantees recursive feasibility, closed-loop exponential stability and constraint satisfaction if it is feasible at the initial time. We demonstrate the effectiveness of the proposed method in simulation.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"86 ","pages":"Article 101373"},"PeriodicalIF":2.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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