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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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Tissue P systems with rule production/removal 18th

Tissue P systems with rule production/removal

引用

18th International Conference on Membrane Computing, CMC 1018

作者： Pan, Linqiang Song, Bosheng Zhang, Gexiang Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China Robotics Research Center and Key Laboratory of Fluid and Power Machinery Xihua University Chengdu610039 China

ISBN: (纸本)9783319733586

Tissue P systems are computational models inspired by the way of biochemical substance movement/exchange between two cells or between a cell and the environment, where all communication (symport/antiport) rules used in a system are initially set up and keep unchanged during any computation. In this work, a variant of tissue P systems, called tissue P systems with rule production/removal (abbreviated as TRPR P systems) is considered, where rules in a system are dynamically changed during a computation, that is, at any computation step new rules can be produced and some existing rules can be removed. The computation power of TRPR P systems is investigated. It is proved that Turing universality is achieved for TRPR P systems with one cell, and using symport rules of length at most 1, antiport rules of length at most 2 or symport rules of length at most 2 and working in a maximally parallel manner. We further show that TRPR P systems with two cells, using symport rules of length at most 1, and working in a flat maximally parallel manner, are Turing universal. © 2018, Springer International Publishing AG.

关键词： Cells

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Variable population memetic search: A case study on the critical node problem

arXiv

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arXiv 2019年

作者： Zhou, Yangming Hao, Jin-Kao Fu, Zhang-Hua Wang, Zhe Lai, Xiangjing School of Information Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Department of Computer Science LERIA Université d'Angers 2 Boulevard Lavoisier Angers49045 France Institut Universitaire de France 1 rue Descartes Paris75231 France Robotics Laboratory for Logistics Service Institute of Robotics and Intelligent Manufacturing Chinese University of Hong Kong Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518172 China Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210023 China

Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems. Often, a population of fixed size was used in such algorithms to record some best solutions sampled during the search. However, given the particular features of the problem instance under consideration, a population of variable size would be more suitable to ensure the best search performance possible. In this work, we propose variable population memetic search (VPMS), where a strategic population sizing mechanism is used to dynamically adjust the population size during the memetic search process. Our VPMS approach starts its search from a small population of only two solutions to focus on exploitation, and then adapts the population size according to the search status to continuously influence the balancing between exploitation and exploration. We illustrate an application of the VPMS approach to solve the challenging critical node problem (CNP). We show that the VPMS algorithm integrating a variable population, an effective local optimization procedure (called diversified late acceptance search) and a backbone-based crossover operator performs very well compared to state-of-the-art CNP algorithms. The algorithm is able to discover new upper bounds for 13 instances out of the 42 popular benchmark instances, while matching 23 previous best-known upper bounds. Copyright © 2019, The Authors. All rights reserved.

关键词： Population statistics

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Consensus of mixed-order multi-agent systems with directed topology

Consensus of mixed-order multi-agent systems with directed t...

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Chinese intelligent Systems Conference, CISC 2017

作者： Geng, Hua Chen, Zengqiang Liu, Zhongxin Zhang, Chunyan Zhang, Qing School of Information Electrical Engineering Hebei University of Engineering Handan056038 China College of Computer and Control Engineering Nankai University Tianjin300071 China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin300071 China College of Science Civil Aviation University of China Tianjin300300 China

ISBN: (纸本)9789811064982

In this paper, an in-depth study about the consensus problem of mixed-order multi-agent system with directed topology is performed. Specifically, this system is composed of two classes of agents respectively described by first-order and second-order dynamics. By the aid of state transformation, two different methods are proposed to solve the consensus. Still, two meaningful examples are provided to verify the effectiveness of the gained theoretical results. This paper is expected to establish a more realistic model and provide effective measures to solve the consensus problem. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Modeling and reachability analysis of synchronizing transitions bounded Petri net systems based upon semi-tensor product of matrices

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The Journal of China Universities of Posts and Telecommunications 2017年第1期24卷 77-86页

作者： Gao Na Han Xiaoguang Chen Zengqiang Zhang Qing College of Computer and Control Engineering Nankai University Tianjin 300350 China Tianjin Key Laboratory of Intelligent Robotics Tianjin 300350 China College of Science Civil Aviation University of China Tianjin 300300 China

The reachability problem of synchronizing transitions bounded Petri net systems （BPNSs） is investigated in this paper by constructing a mathematical model for dynamics of BPNS. Using the semi-tensor product （STP） of matrices, the dynamics of BPNSs, which can be viewed as a combination of several small bounded subnets via synchronizing transitions, are described by an algebraic equation. When the algebraic form for its dynamics is established, we can present a necessary and sufficient condition for the reachability between any marking （or state） and initial marking. Also, we give a corresponding algorithm to calculate all of the transition paths between initial marking and any target marking. Finally, an example is shown to illustrate proposed results. The key advantage of our approach, in which the set of reachable markings of BPNSs can be expressed by the set of reachable markings of subnets such that the big reachability set of BPNSs do not need generate, is partly avoid the state explosion problem of Petri nets （PNs）.

关键词： reachability Petri nets BPNSs semi-tensor product （STP） of matrices synchronizing transitions

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Key Technologies of Time-Sensitive Networking and Its Application

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IOP Conference Series: Materials Science and Engineering 2020年第4期782卷

作者： Qing Li Dong Li Xinbo Sun Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang 110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China

Network is the core element of many industrial and automation systems. In the future, more attention will be paid to convergent and unified network. Time-critical traffic and non-time-critical traffic need to share communication channels. The goal of the IEEE TSN task group is to extend the existing Ethernet standard to achieve a degree of certainty that meets the hard-real-time requirements of modern control networks in the industrial automation and automotive industries. Time sensitive network (TSN) is characterized by low jitter, low delay and deterministic transmission. It can transmit critical and non-critical traffic in the same network, which is very suitable for time- critical applications with high requirements on transmission delay. This paper briefly summarizes the key components of TSN, studies the key technologies, and carries out a simple traffic scheduling experiment on the switch based on 802.1Qbv function, and finally analyzes the application of TSN in industrial automation and automobile industry.

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Static output feedback stabilization of deterministic finite automata 36

Static output feedback stabilization of deterministic finite...

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第36届中国控制会议

作者： Zhang Zhipeng Chen Zengqiang Han Xiaoguang Liu Zhongxin College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University College of Science Civil Aviation University of China

ISBN: (纸本)9781538629185

In this paper, we investigate the static output feedback stabilization(SOFS) of deterministic finite automata(DFA) by using semi-tensor product(STP) theory. Firstly, the matrix expression of Moore-type automata with states, inputs and outputs is presented by using the algebraic equations. The feasible events matrix(FEM) is given in the matrix form by using STP theory and the transition-state adjacency matrix of DFA is presented through Boolean operation. Secondly, the concept of prereachability set and some corresponding properties are introduced, and then we obtain the necessary and sufficient conditions about the SOFS. In the end, an example is presented to illustrate the effectiveness of the results.

关键词： Discrete event dynamic systems Finite automata Static output feedback stabilization Semi-tensor product prereachability set

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The design of 1553b relay circuit based on FPGA

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IOP Conference Series: Materials Science and Engineering 2020年第1期740卷

作者： Zhonghua Han Chengcheng Huang Jiayu Peng Shuai Wang Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 China Department of Digital Factory Shenyang Institute of Automation the Chinese Academy of Sciences (CAS) Shenyang 110016 China Key Laboratory of Network Control System Chinese Academy of Sciences Shenyang 110016 Liaoning China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 Liaoning China

On the basis of increasing the transmission distance of the 1553B bus, in order to maintain the simplicity and stability of the bus and improve its anti-jamming ability, the 1553B signal relay circuit based on FPGA is designed in this paper. The signal transmission part is consists of the software and the hardware, and the chip of ZYNQ series is used in the FPGA. Firstly, the transmitted signal oscillation is transformed into a group of positive and negative differential signals, which are realized by transformer (pmdb25). Secondly, the signal is sent to the main control chip of ZYNQ series through signal acquisition chip and level conversion chip. Finally, the data is processed by software program and forwarded to the receiver. The specific experiments have been done on the 1553B signal transmission platform, which significantly show that the proposed scheme is reasonable and reliable.

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Human intention estimation based on hidden Markov model motion validation for safe flexible robotized warehouses

arXiv

引用

arXiv 2018年

作者： Petković, Tomislav Puljiz, David Marković, Ivan Hein, Björn University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Laboratory for Autonomous Systems and Mobile Robotics Unska 3 ZagrebHR-10000 Croatia Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics Intelligent Process Automation and Robotics Lab Kaiserstraße 12 Deutschland KarlsruheDE-76131

With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a priority. In order to operate efficiently and safely, robot assistants or the supervising system should recognize human intentions in real-time. Theory of mind (ToM) is an intuitive human conception of other humans' mental state, i.e., beliefs and desires, and how they cause behavior. In this paper we propose a ToM based human intention estimation algorithm for flexible robotized warehouses. We observe human's, i.e., worker's motion and validate it with respect to the goal locations using generalized Voronoi diagram based path planning. These observations are then processed by the proposed hidden Markov model framework which estimates worker intentions in an online manner, capable of handling changing environments. To test the proposed intention estimation we ran experiments in a real-world laboratory warehouse with a worker wearing Microsoft Hololens augmented reality glasses. Furthermore, in order to demonstrate the scalability of the approach to larger warehouses, we propose to use virtual reality digital warehouse twins in order to realistically simulate worker behavior. We conducted intention estimation experiments in the larger warehouse digital twin with up to 24 running robots. We demonstrate that the proposed framework estimates warehouse worker intentions precisely and in the end we discuss the experimental results. Copyright © 2018, The Authors. All rights reserved.

关键词： Virtual reality

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Distributed Optimization with Finite-Time Convergence via Discontinuous Dynamics

Distributed Optimization with Finite-Time Convergence via Di...

引用

Chinese control Conference

作者： Xiaowei Pan Zhongxin Liu Zengqiang Chen College of Computer and Control Engineering Nankai University Tianjin P. R. China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin P. R. China

In this paper, an algorithm with discontinuous characteristics is proposed to solve distributed optimization problems of sum type. The finite-time convergence of the algorithm is proved and the settling time bound is ... 详细信息

关键词： Convergence Optimization Heuristic algorithms Laplace equations Distributed algorithms Electronic mail Multi-agent systems

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