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Equalizer Zero-Determinant Strategy in Discounted Repeated Stackelberg Asymmetric Game

Journal of Systems Science & Complexity 2024年第1期37卷 184-203页

作者： CHENG Zhaoyang CHEN Guanpu HONG Yiguang Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology10044 StockholmSweden. Department of Control Science and Engineering Tongji UniversityShanghai 201804China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 210201China

This paper focuses on the performance of equalizer zero-determinant(ZD)strategies in discounted repeated Stackelberg asymmetric *** the leader-follower adversarial scenario,the strong Stackelberg equilibrium(SSE)deriving from the opponents’best response(BR),is technically the optimal strategy for the ***,computing an SSE strategy may be difficult since it needs to solve a mixed-integer program and has exponential complexity in the number of *** this end,the authors propose an equalizer ZD strategy,which can unilaterally restrict the opponent’s expected *** authors first study the existence of an equalizer ZD strategy with one-to-one situations,and analyze an upper bound of its performance with the baseline SSE *** the authors turn to multi-player models,where there exists one player adopting an equalizer ZD *** authors give bounds of the weighted sum of opponents’s utilities,and compare it with the SSE ***,the authors give simulations on unmanned aerial vehicles(UAVs)and the moving target defense(MTD)to verify the effectiveness of the proposed approach.

关键词： Discounted repeated Stackelberg asymmetric game equalizer zero-determinant strategy strong Stackelberg equilibrium strategy

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Possibilities of Adopting Electric Vehicles in the Agritourism Development Context 18

Possibilities of Adopting Electric Vehicles in the Agritouri...

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18th Iberian Conference on Information Systems and Technologies, CISTI 2023

作者： Samuil, Ionela Stancioiu, Loredana Ionica, Andreea Cristina Leba, Monica University of Petrosani Department of Management and Industrial Engineering Petrosani Romania University of Petrosani Engineering and Management Doctoral School Petrosani Romania University of Petrosani Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9789893347928

In a society that is looking for ways of sustainable development, the use of electric vehicles (EVs) can be an applicable solution in different fields of activity, including the tourism industry. The current research analyzes the possibility of using Buggy EVs in a predominantly agritourism region. In this sense, with the help of STELLA Architect, dynamic modeling software, a simulation is run to determine the potential behavior of tourists who use different types of off-road vehicles and their willingness to become Buggy EV users. Based on the data obtained, an algorithm is developed to size the fleet of Buggy EVs necessary for carrying out the activity, taking into account the most important characteristics of the existing Buggy EV, namely range, charging time and price. The results obtained from the study can be used as a starting point for improving the tourist experience, by integrating the technology we are so connected to. © 2023 ITMA.

关键词： computer software

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Psychomotor intervention through serious games in children and adolescents with autism spectrum disorder using a therapeutic robot

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Research on Biomedical engineering 2024年第3-4期40卷 485-497页

作者： da Luz Schreider, Sheila de Souza, Josiany Carlos da Silva Freitas, Éberte Valter Panceri, João Antonio Campos de Oliveira Caldeira, Eliete Maria Bastos-Filho, Teodiano Freire Av. Marechal Campos 1468 Maruipe Vitoria29047-105 Brazil Vitoria Brazil Vitoria Brazil Automation and Control Engineering Department Federal Institute of Espirito Santo Av. Filogônio Peixoto 2220 Aviso Linhares Brazil

Introduction: The autism spectrum disorder (ASD) is a neurodevelopmental disorder, characterized by an atypical neuropsychomotor development and communication. Methodology: In this work, a socially assistive robot termed MARIA T21 (Mobile Autonomous Robot for Interaction with Autistics and Trisomy 21) was used for interaction and application of serious games to children with ASD. The sample was composed of two groups: the first one with seven children with ASD, who had ten sessions with the robot at the Association of Friends of Autistics from Espirito Santo State (AMAES) in Vitoria, Brazil;and second group composed of four children with ASD, who had four sessions with the robot at the Association of Parents and Friends of Exceptional People (APAE) in Vila Velha, Brazil. The protocol was composed of four serious games, which stimulated postural balance, proprioception, and motor coordination. Results and conclusions: The utilization of the robot and serious games proved to be an important therapy tool, providing the children with playful activities, increasing their engagement, and providing them with a greater interaction between body and mind. In the evaluation of the psychomotor profile through the Psychomotor Battery by Victor da Fonseca, both groups had a statistically significant difference before and after the psychomotor intervention. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical engineering 2024.

关键词： Serious games

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International Electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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The Dark Side of the Language: Pre-trained Transformers in the DarkNet

The Dark Side of the Language: Pre-trained Transformers in t...

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2023 International Conference Recent Advances in Natural Language Processing: Large Language Models for Natural Language Processing, RANLP 2023

作者： Ranaldi, Leonardo Nourbakhsh, Aria Patrizi, Arianna Ruzzetti, Elena Sofia Onorati, Dario Mastromattei, Michele Fallucchi, Francesca Zanzotto, Fabio Massimo Human-Centric ART Group Department of Enterprise Engineering University of Rome Tor Vergata Italy Department of Computer Control and Management Engineering University of Rome Sapienza Italy

ISBN: (纸本)9789544520922

Pre-trained Transformers are challenging human performances in many NLP tasks. The massive datasets used for pre-training seem to be the key to their success on existing tasks. In this paper, we explore how a range of pretrained Natural Language Understanding models perform on definitely unseen sentences provided by classification tasks over a DarkNet corpus. Surprisingly, results show that syntactic and lexical neural networks perform on par with pre-trained Transformers even after fine-tuning. Only after what we call extreme domain adaptation, that is, retraining with the masked language model task on all the novel corpus, pre-trained Transformers reach their standard high results. This suggests that huge pre-training corpora may give Transformers unexpected help since they are exposed to many of the possible sentences. © 2023 Incoma Ltd. All rights reserved.

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An Efficient Classification Techniques for Brain Tumor Using Features Extraction and Statistic Methods, with Machine Learning Algorithms

An Efficient Classification Techniques for Brain Tumor Using...

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作者： Badshah, Shah Hussain Farhatullah khan, Gul Zaman Hassan, Muhammad Abul Junaid, Hazrat Sohail, Muhammad Mahbob, Muhammad Awais Ahamad, Izaz Ullah, Nadeem Department of Computing and Technology Abasyn University Peshawar Pakistan School of Automation China University of Geosciences Wuhan430074 China Department of Computer Software Engineering University of Engineering and Technology Mardan Pakistan Department of Computer Science and Information Technology University of Malakand Dir Lower Pakistan Department of Computer Science Bahria University Islamabad Pakistan Department of Computer Science University of Engineering and Technology Taxila Pakistan Department of Information Engineering and Computer Science University of Trento Trento38122 Italy

Today, brain tumor is a very dangerous disease that can even cause death. There are many ways to classify Brain MRI images of tumors. Various aspects of current research have limitations;some methods are accurate but take a long time to compute while some algorithms are fast, but with low accuracy. Consequently, a lot of effort is needed in this area. In this paper, our major goal is to reduce computation time and improve the classification accuracy for brain MRI images. This research proposes four phases: preprocessing, feature extraction, feature selection, and classification. During pre-processing, the median filter was used to reduce noise in the images, and the grayscale image size was reduced to further limit the image for efficient use. After that the Gray images are then given as inputs to the Feature extraction phase to select a limited feature from the image namely, texture features, shape features, smoothing features. The images features obtained in the feature’s extraction phase are still large, and we cannot simply feed them to machine learning models for processing due to computational constraints. So, we need to analyze it and pick out some interesting elements from the images. The statistical features namely, variances, mean, correlation are used in the feature selection phase to select more significant features to reduce the size of the features and reduce computational time. These features are combined and labeled in a file to train Machine Learning (ML) algorithms. We used two types of machine learning algorithms in the classification phase: classifier and evolutionary algorithm. The selected classifier algorithms results are combined in a file and we named it S-K-E-L Classifier and it gives us acceptable results in terms of accuracy and time. Similarly, an evolutionary algorithm named P-S-D-G Classifier also gives us acceptable results in terms of accuracy and time. Lastly, we combine both S-K-E-L Classifier and P-S-D-G Classifier in a file with

关键词： Classification (of information)

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A Statistical Explainable Learning Model Optimizing Co-localization of Multidimensional Positivity Thresholds in Immunotherapy Decision-Supporting

A Statistical Explainable Learning Model Optimizing Co-local...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Wang, Yixuan Liu, Jingjing Zhao, Jian Wang, Jiayin Wang, Quan Song, Xiaofeng Nanjing University of Aeronautics and Astronautics College of Automation Engineering Department of Biomedical Engineering Nanjing China Xi'an Jiaotong University School of Computer Science and Technology Xi'an China

ISBN: (纸本)9798350337488

Tumor Mutation Burden (TMB) serves as a recognized stratified biomarker for immunotherapy. However, its one-dimensional representation of non-synonymous genetic alterations has been contentious. Specifically, the uniform quantification of mutations by TMB, coupled with measurement inaccuracies, complicates the accurate determination of a positive threshold for classifying patients. Parallel to this, assessing immunotherapy benefits requires the joint analysis of multiscale endpoints, namely discrete tumor response and sequential time-to-event, presenting a pressing challenge for clinical computation. Recognizing the intertwined nature of these challenges, we address the inter-sample bias inherent in multidimensional mutation biomarkers within the framework of multiscale endpoint fusion analysis, aiming for a more robust and comprehensive patient stratification. By combining the concept of corrected-score with a soft-threshold strategy, and utilizing the attention mechanism alongside the multiple instance learning, we propose a statistically explainable learning model optimizing co-localization of multidimensional positivity thresholds for immunotherapy categorical decision-supporting. © 2023 IEEE.

关键词： attention mechanism clinical decision-supporting error control multiple instance learning Tumor mutation burden

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Microcomputer Prototyping of IEC61850-9-2 with Performance Analysis 14

Microcomputer Prototyping of IEC61850-9-2 with Performance A...

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14th IEEE International Conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Galkin, Nikolai Yang, Chen-Wei Etherden, Nicholas Vyatkin, Valeriy Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden Vattenfall R&d SolnaSE-169 79 Sweden Luleå Tekniska Universitet Department of Engineering Sciences and Mathematics Sweden Aalto University Department of Electrical Engineering and Automation Espoo Finland

ISBN: (纸本)9781665455541

The reliability of an electrical system depends on layered Protection, automation, and control (PAC) functions in which differential relays are considered a fundamental method to isolate the problem. By having a PAC architecture with functionality independent of hardware we hypothesize that the life cycle of PAC devices can be extended by using modern, powerful, and highly reconfigurable IoT devices. This can be achieved by applying modularity to hardware architecture, where an IoT device can be considered a mezzanine module. The Raspberry Pi and BeagleBone manufacturers are keeping the hardware the same size while constantly increasing its power. However, it is not clear how powerful the IoT device should be to meet some of the IEC 61850 requirements (which are usually included in PAC).In this article, we provide a step-by-step process for designing a system that mimics a single-phase transformer differential protection system. First, we provide a requirements analysis (Sampled Values rate, traffic synchronization, reaction time, etc.). Then we analyze the BeagleBone Black device (BBB). We give an example of an electrical system and finally analyze, in terms of IEC 61850 requirements, the performance of two software applications developed for the BBB (based on the operating system and on bare metal). © 2023 IEEE.

关键词： Application programs

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Self-Triggered Consensus Filtering over Asynchronous Communication Sensor Networks

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computer Modeling in engineering & Sciences 2023年第2期134卷 857-871页

作者： Huiwen Xue Jiwei Wen Akshya Kumar Swain Xiaoli Luan Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxi214000China Department of Electrical Computer and Software EngineeringUniversity of AucklandAuckland0632New Zealand

In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering *** from existing event-triggered filtering,the self-triggered one does not require to continuously judge the trigger condition at each sampling instant and can save computational burden while achieving good state *** triggering policy is presented for pre-computing the next execution time for measurements according to the filter’s own data and the latest released data of its neighbors at the current ***,a challenging problem is that data will be asynchronously transmitted within the filtering network because each node self-triggers ***,a co-design of the self-triggered policy and asynchronous distributed filter is developed to ensure consensus of the state ***,a numerical example is given to illustrate the effectiveness of the consensus filtering approach.

关键词： Self-triggered policy sensor networks distributed consensus filtering

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application 42

An Event-Triggered Tracking Control Scheme Based on Predicti...

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42nd Chinese control Conference, CCC 2023

作者： Cao, Lei Yumuk, Erhan Ionescu, Clara-Mihaela Liu, Guo-Ping Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Ghent University Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent9052 Belgium Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Istanbul Technical University Department of Control and Automation Engineering Istanbul34467 Turkey

ISBN: (纸本)9789887581543

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Networked control systems

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