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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 345-348页

作者： Fei-Yue Wang Xiao Wang Lingxi Li Li Li IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Qingdao Academy of Intelligent Industries (QAII) QingdaoShandongChinaand SKL-MCCSCASIA Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis Department of Automation Tsinghua University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The origin of artificial intelligence is investigated, based on which the concepts of hybrid intelligence and parallel intelligence are presented. The paradigm shift in Intelligence indicates the ''new normal'' of cyber-social-physical systems (CPSS), in which the system behaviors are guided by Merton's Laws. Thus, the ACP-based parallel intelligence consisting of Artificial societies, Computational experiments and Parallel execution are introduced to bridge the big modeling gap in CPSS. © 2014 Chinese Association of automation.

关键词： control systems Electrical engineering

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A simulator for swarm AUVs acoustic communication networking 11

A simulator for swarm AUVs acoustic communication networking

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11th ACM International Conference on Underwater Networks and Systems, WUWNet 2016

作者： Li, Guannan Liu, Jun Wang, Xue Xu, Hongli Cui, Jun-Hong Shenyang Institute of Automation CAS University of Chinese Academy of Sciences No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Changchun China Shenyang Institute of Automation CAS Northeast University No. 114 Nanta Street Shenhe District Shenyang China Shenyang Institute of Automation CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States

ISBN: (纸本)9781450346375

This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carrying acoustic communication devices. This simulator consists of three nodes: a virtual vehicle node (VV), a virtual environment node (VE), and a visual showing node (VS). The modular design treats AUV models as a combination of virtual equipment. An expert acoustic communication simulator is embedded in this simulator, to simulate scenarios with dynamic acoustic communication nodes. The several simulations we have performed demonstrate that this simulator is easy to use and can be further improved.

关键词： Simulators

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Flower classification via convolutional neural network

Flower classification via convolutional neural network

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International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications (FSPMA)

作者： Yuanyuan Liu Fan Tang Dengwen Zhou Yiping Meng Weiming Dong Institute of Control and Computer Engineering North China Electric Power University Beijing China LIAMA-NLPR Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781509016600

In this paper, we address the problem of natural flower classification. It is a challenging task due to the non-rigid deformation, illumination changes, and inter-class similarity. We build a large dataset of flower images in the wide with 79 categories and propose a novel framework based on convolutional neural network (CNN) to solve this problem. Unlike other methods using hand-crafted visual features, our method utilizes convolutional neural network to automatically learn good features for flower classification. The neural network consists of five convolutional layers where small receptive fields are adopted, some of which are followed by max-pooling layers, and three fully-connected layers with a final 79-way softmax. Our approach achieves 76.54% classification accuracy on our challenging flower dataset. Moreover, test our algorithm on the Oxford 102 Flowers dataset. It outperforms the previous known methods and achieves 84.02% classification accuracy. Experimental results on a well-known dataset and our own dataset demonstrate that our method is quite effective in flower classification.

关键词： Neural networks Feature extraction Image classification Visualization Object detection Convolutional codes Lighting

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A design method for hybrid event-based control systems

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IFAC-PapersOnLine 2015年第27期48卷 135-140页

作者： Noesselt, Tobias Schultalbers, Matthias Lunze, Jan IAV GmbH Gifhorn Germany Ruhr-University Bochum Institute of Automation and Computer Control BochumD-44780 Germany

This paper investigates control systems, where the controller influences the plant through two control input signals with different characteristics. A continuous control input is used to attenuate disturbances and force the plant to follow a reference trajectory, whereas the operation point of the plant is adjusted by an event-based component of the controller, determining a discrete-valued input signal. Systems of this type are called hybrid event-based control (HEBC) systems. They have typical characteristics of hybrid dynamical systems, because the behaviour of the control loop includes state jumps and switches of the dynamics. In applications, these hybrid phenomena have been neglected and the controllers have been tuned by heuristic rules. To open the way for a systematic control design, this paper clarifies the structure of HEBC systems and introduces a specific model. Based on the model, a design method is proposed for a special class of hybrid event-based controllers, that mimic the behaviour of a purely continuous reference system. The performance of the closed-loop system is investigated by establishing an upper bound on the deviation between the closed loop and the continuous reference system. An application example illustrates the design method and the behaviour of hybrid event-based control loops. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： controllers Closed loop systems control systems Design Hybrid systems Application examples control design Discrete valued input Event based control Event based control system Hybrid dynamical systems Performance analysis Reference trajectories

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Fixation of competing strategies when interacting agents differ in the time scale of strategy updating

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Physical Review E 2016年第3期94卷 032407-032407页

作者： Jianlei Zhang Franz J. Weissing Ming Cao Department of Automation College of Computer and Control Engineering Nankai University People's Republic of China Theoretical Biology Group Centre for Ecological and Evolutionary Studies University of Groningen The Netherlands Network Analysis and Control Group Institute for Industrial Engineering University of Groningen The Netherlands

A commonly used assumption in evolutionary game theory is that natural selection acts on individuals in the same time scale; e.g., players use the same frequency to update their strategies. 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. In this study, we remove this restricting assumption by dividing the population into fast and slow groups according to the players' strategy updating frequencies and investigate how different strategy compositions of one group influence the evolutionary outcome of the other's fixation probabilities of strategies within its own group. Analytical analysis and numerical calculations are performed to study the evolutionary dynamics of strategies in typical classes of two-player games (prisoner's dilemma game, snowdrift game, and stag-hunt game). The introduction of the heterogeneity in strategy-update time scales leads to substantial changes in the evolution dynamics of strategies. We provide an approximation formula for the fixation probability of mutant types in finite populations and study the outcome of strategy evolution under the weak selection. We find that although heterogeneity in time scales makes the collective evolutionary dynamics more complicated, the possible long-run evolutionary outcome can be effectively predicted under technical assumptions when knowing the population composition and payoff parameters.

关键词： Complex systems Evolutionary dynamics Social systems Social networks

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Colored petri net based diagnosis of process systems 30

Colored petri net based diagnosis of process systems

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30th European Simulation and Modelling Conference, ESM 2016

作者： Pózna, Anna I. Gerzson, Miklós Leitold, Adrien Hangos, Katalin M. Department of Electrical Engineering and Information Systems Hungary Deparment of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381953

An improved diagnosis method of technological systems is proposed in this paper that is based on their qualitative colored Petri-net model (Leitold et al. 2014). The proposed diagnosis method can be used when more than one fault occur in the system and if the fault evolves during the operation of the system. In order to make the diagnosis of complex process systems computationally feasible, a structural decomposition method is introduced to reduce the size of their occurrence graphs and to make the diagnosis easier. The proposed methods are illustrated on examples.

关键词： Fault detection

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A deterministic gossiping algorithm for the synchronization of multi-agent systems 5

A deterministic gossiping algorithm for the synchronization ...

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5th IFAC Workshop on Distributed Estimation and control in Networked Systems, NecSys 2015

作者： Mosebach, A. Lunze, J. Institute of Automation and Computer Control Ruhr-Universität Bochum Germany

The main objective of the synchronization of multi-agent systems is the asymptotic convergence of the agents towards a common trajectory. This paper considers the synchronization of linear discrete-time agents over a network in which only point-to-point connections are allowed. The main result is a new control algorithm designed to ensure asymptotic synchronization of the networked agents. The control algorithm of each agent works in the following steps: (i) establish a coupling to a neighboring agent that is currently not connected to another agent. (ii) synchronize the coupled agents in finite time and search for another agent to be coupled. A deterministic coupling of the agents is required and achieved by the use of a periodically changing coupling sequence. Considering the synchronization of integrators reveals the similarity to a gossiping algorithm. However, this paper extends the results reported in the literature because a necessary and sufficient condition for the synchronization of discrete-time multi-agent systems with arbitrary linear dynamics is presented. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Multi agent systems

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Discrete event-triggered sliding mode control with fast output sampling feedback

Discrete event-triggered sliding mode control with fast outp...

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International Workshop on Variable Structure Systems, VSS

作者： Abhisek K. Behera Bijnan Bandyopadhyay Johann Reger Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India Computer Science and Automation Department Technische Universität Ilmenau Ilmenau Germany

This paper deals with event-triggering based design of discrete-time sliding mode (DTSM) control for linear systems. Multirate output feedback based DTSM is designed with event-triggering strategy such that the system trajectories remain bounded in the vicinity of sliding manifold. An event-triggering rule is developed for DTSM which is evaluated only at periodic time intervals. The control is updated whenever the triggering instant is generated at these discrete time instants. It is shown that with this technique the system trajectories remain bounded. Also, in this triggering scheme there is always guaranteed Zeno free execution of triggering sequences as it is inherently discrete. Simulation results are shown to demonstrate the theoretical treatments of this paper.

关键词： Trajectory Manifolds Stability analysis Convergence Sliding mode control Output feedback

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A 3μW, 0.65V regulator with an embedded temperature compensated voltage reference

A 3μW, 0.65V regulator with an embedded temperature compens...

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International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)

作者： Fu-To Lin Jui-Hsiang Tsai Yu-Te Liao Department of Materials Science The University of Shiga Prefecture Hassaka Hikone Shiga Japan Institute of Automation and Computer Control Ruhr-Universität Bochum Germany

This paper presents a 0.65-V flipped voltage follower (FVF)-based regulator with an embedded sub-1-V voltage reference. A low-pass filter is employed in the current coupling path to reduce the bias noise and improve t... 详细信息

ISBN: (纸本)9781509004911

关键词： Regulators Voltage control Transistors Capacitors Logic gates Voltage measurement Power supplies

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Analysis of Do D inkjet printhead performance for printable electronics fabrication using dynamic lumped element modeling and swarm intelligence based optimal prediction

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Journal of Central South University 2015年第10期22卷 3925-3934页

作者：何茂伟孙丽玲胡琨元朱云龙陈瀚宁 School of Computer Science and Software Tianjin Polytechnic University Department of Information Service & Intelligent Control Shenyang Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences

The major challenge in printable electronics fabrication is to effectively and accurately control a drop-on-demand(Do D) inkjet printhead for high printing quality. In this work, an optimal prediction model, constructed with the lumped element modeling(LEM) and the artificial bee colony(ABC) algorithm, was proposed to efficiently predict the combination of waveform parameters for obtaining the desired droplet properties. For acquiring higher simulation accuracy, a modified dynamic lumped element model(DLEM) was proposed with time-varying equivalent circuits, which can characterize the nonlinear behaviors of piezoelectric printhead. The proposed method was then applied to investigate the influences of various waveform parameters on droplet volume and velocity of nano-silver ink, and to predict the printing quality using nano-silver ink. Experimental results show that, compared with two-dimension manual search, the proposed optimal prediction model perform efficiently and accurately in searching the appropriate combination of waveform parameters for printable electronics fabrication.

关键词： piezoelectric inkjet system lumped element modeling dynamic model nano-silver ink artificial bee colony algorithm

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