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Chinese Intelligent Systems Conference, CISC 2017

作者： Xu, Zimin Zhang, Jianlei Li, Qiaoyu Chen, Zengqiang Department of Automation College of Computer and Control Engineering Nankai University Tianjin300071 China

ISBN: (纸本)9789811064951

Much attention has been paid on exploring the solutions for cooperative dilemma in multi-agent systems. Thereinto, the evolutionary game theory which describes cooperative dilemma is seen as an effective approach. Notably, many of previous works are based on the ideal hypothesis that individuals can feasibly obtain their neighbours’ payoffs to update strategies. Considering the difficulty of getting the exact information about payoffs, we propose the switching probabilities between strategies which do not require the payoffs. Here the evolutionary dynamics driven by the switching probabilities in a three-strategy game model is established. Results show that the steady state of the gaming system is closely related with the switching probability matrix. These findings give a novel account about the decision making process in the gaming systems, when a strategy updating rule weakening the ideal assumption about payoffs is established. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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Evolutionary Game Dynamics Driven by Setting a Ceiling in Payoffs of Defectors 36

Evolutionary Game Dynamics Driven by Setting a Ceiling in Pa...

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第36届中国控制会议

作者： ZHANG Jianlei ZHU Yuying CHEN Zengqiang CAO Ming Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control EngineeringNankai University

ISBN: (纸本)9781538629185

The collective cooperation dilemma,where players are involved in a public goods game and must decide whether to make an individual contribution or not,has gained increasing attention from game theorists and control *** from the traditional definition,defectors here will face the payoff restriction after adopting the strategy of free riding others' ***,we introduce payoff ceilings applied to the gained benefits of the defectors,which leads to an extensive public goods game *** the number of cooperators is lower than the threshold value,the current model can be transferred to the setups of the general public goods *** further increasing the number of cooperators will bring the restricted payoffs for *** results suggest that the payoff ceilings provide us with more insight into the resolution of cooperative ***,together with other parameters(e.g.,the amplification factor and the size of gaming population) of the introduced model,lower values of the payoff ceilings can better facilitate the domination of cooperation strategy at the steady state.

关键词： Evolutionary game theory Replicator dynamics Public goods games

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Evolutionary Games with Different Time Scales of Strategy Updating 29

Evolutionary Games with Different Time Scales of Strategy Up...

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第29届中国控制与决策会议

作者： Jianlei Zhang Yuying Zhu Chunyan Zhang Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics College of Computer and Control EngineeringNankai University

ISBN: (纸本)9781509046584

Variation in learning rates within populations suggests that evolutionary game theory may not necessarily be restricted to uniform time scales associated with the game interaction and strategy adaption evolution. Using agent-based evolutionary simulation in the framework of prisoner's dilemma game, we demonstrate the sustainability of cooperation and the emergence of different macro-effects, when equipping agents with non-uniform time scale preferences. We employ a spatial random regular grid to describe the social interactions among agents. We conclude that the cooperation level has a strong dependence on the population composition, and the suitable fraction of the fast-updating players in the system which is associated with the maximal cooperation frequency has been found out. Besides, the extent of the promotive effect of diversifying time scales is also closely related with the payoff adoption rules in strategy updating,especially when we invent a past history for each agent. Summing up the gained results, a general conclusion can be drawn, saying that the combination of these factors(e.g. time scales and memory) gives rise to rich dynamic behavior of the system.

关键词： Evolutionary Game Theory Complex Networks Evolution Dynamics

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Self-organized Task Allocation in a Swarm of E-puck Robots

Self-organized Task Allocation in a Swarm of E-puck Robots

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2017中国智能自动化会议(CIAC 2017)

作者： Qiaoyu Li Xiaolong Yang Yuying Zhu Jianlei Zhang Department of Automation College of Computer and Control Engineering Nankai University

1 Introduction The study on task allocation behaviors realized by self-organization receives much attention nowadays,which has a wide range of applications in artificial intelligence and engineering *** of labor,where thousands of individuals in nature perform specific tasks can be seen as the hallmark of insect societies [1–3].Daily experience tells us that the division of labor is a common phenomenon,in which

关键词： Swarm Self-organized Task Allocation in a Swarm of E-puck Robots

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A unified angle control scheme for hypersonic vehicle based on disturbance rejection 21

A unified angle control scheme for hypersonic vehicle based ...

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21st AIAA International Space Planes and Hypersonics Technologies Conference, Hypersonics 2017

作者： Piao, Minnan Zhu, Kai Sun, Mingwei Chen, Zengqiang Dept. of Automation and Intelligent Science College of Computer and Control Engineering Nankai University Tianjin300350 China Tianjin Key Laboratory of Intelligent Robotics Tianjin300350 China Beijing Aerospace Technology Institute Beijing100074 China

ISBN: (数字)9781624104633

ISBN: (纸本)9781624104633

Hypersonic vehicles are characterized with strong nonlinearities, coupling effects and uncertainties as well as fast time-varying parameters, which impose great difficulty to the attitude control. This study proposes a unified scheme for all the Euler angles, angle of attack, and sideslip angle. First, three controllers based on active disturbance rejection control (ADRC) are designed for the Euler angles respectively, in which the external disturbances and the internal uncertainties can be estimated by the extended state observer (ESO) and compensated in real time actively. Then the geometric relations among the angles with different time scales are utilized to transform the commands of α and β into the commands of the pitch angle and the yaw angle. Next the stability-margin tester method is employed to tune the controller parameters, which guarantees the stability and robustness of the control system. 1000 nonlinear six-degree-of-freedom Monte Carlo simulation results demonstrate the good tracking performance and the robustness of the proposed control method. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Hypersonic vehicles

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On Trajectory Tracking for an Under-actuated Helicopter 35

On Trajectory Tracking for an Under-actuated Helicopter

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第35届中国控制会议

作者： LI Junfang LI Yi Gao Qiang SUN Mingwei CHEN Zengqiang Tianjin Key Laboratory of Intelligent Robotics Nankai University Dept of Automation College of Computer and Control Engineering Nankai University Dept of Automation College of Automation Tianjin University of Technology

ISBN: (纸本)9781509009107

This paper tackles the problem of the attitude tracking control for the 3-DOF helicopter. A robust tracking control scheme is proposed based on active disturbance rejection control(ADRC). Aiming at the 3-DOF helicopter manufactured by Quanser Inc, a high order nonlinear ESO is designed to implement the real-time estimation and online compensation of the external disturbance. Simulation results show high performance and good robustness in the presence of the external disturbance.

关键词： helicopter active disturbance rejection controller high order ESO trajectory tracking control

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Evolutionary Dynamics and Individual Heterogeneity in Multi-agent networking systems 35

Evolutionary Dynamics and Individual Heterogeneity in Multi-...

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第35届中国控制会议

作者： ZHANG Jianlei CHEN Zengqiang LIU Zhongxin ZHANG Chunyan Department of Automation College of Computer and Control EngineeringNankai University Tianjin Key Laboratory of Intelligent Robotics Computer and Control EngineeringNankai University

ISBN: (纸本)9781509009107

Cooperative behaviors lie at the basis of human societies,yet its evolutionary origin still remains a perplexing *** exists a large evolutionary game literature exploring effects of population structures on evolutionary outcomes,but in most cases structured population models only employ one game alone.A relevant question is covered in this study thus concerns the effect of game diversity occurring along the edges linking two players situated on the *** basic structure of our mechanism provides more than one type of games available for the *** our game setting,the game model is assumed as a fixed property of each edge and will remain unaltered through game *** preliminary initiatives,we only consider two typical games（Prisoner’s dilemma game and Snowdrift game）,and all possible mixtures between them controlled by a *** performed simulations and theoretical analysis help us observe the remarkable improvement on cooperation levels in suitable parameter regions when the population are simultaneously provided with more than one type of ***,network heterogeneity helps to bring into existence of cooperator clusters and thus favors the survival of cooperators.

关键词： Collective Cooperation Evolutionary Game Theory Heterogeneity

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On active decoupling control for horizontal-lateral direction of hypersonic flight based on HIFOO 21

On active decoupling control for horizontal-lateral directio...

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21st AIAA International Space Planes and Hypersonics Technologies Conference, Hypersonics 2017

作者： Ma, Shunjian Zhu, Kai Sun, Mingwei Wang, Zenghui Chen, Zengqiang Dept. of Automation and Intelligent Science Nankai University College of Computer and Control Engineering Tianjin300350 China Beijing Aerospace Technology Institute Tianjin Key Laboratory of Intelligent Robotics Tianjin300350 China Beijing Aerospace Technology Institute Beijing100074 China Department of Electrical and Mining Engineering University of South Africa FL1710 South Africa

ISBN: (数字)9781624104633

ISBN: (纸本)9781624104633

Nowadays, hypersonic flight vehicles are widely studied. Since their high nonlinearity, strong coupling and uncertain factors, the conventional three-channel independent control design method is often unable to work well. In this paper, an active disturbance rejection controller (ADRC) is utilized to cancel internal uncertainties and exogenous disturbances for longitudinal dynamics. Then, the MIMO robust controller is obtained by choosing proper sensitivity functions and weighting functions to reduce horizontal-lateral direction coupling. The conventional H robust controllor is high-order, which is difficult for practitioners to implement. With frequency transformation, both ADRC for the longitudinal dynamics and MIMO robust controller for the horizontal-lateral dynamics are reformed into the static output feedback structure to reduce the high order of controller. Finally, all parameters in the controllers can be optimized by HIFOO (H-Infinity Fixed Order Optimization). The Winged-Cone, a 6-freedom NASA hypersonic vehicle model, is used as a benchmark, and Monte Carlo simulations demonstrate the effectiveness of the proposed method. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： controllers

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