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第三十四届中国控制会议

作者： Jiuhua Zhao Qipeng Liu Lin Wang Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China Institute of Complexity Science Qingdao University

ISBN: (纸本)9781467374439

In this paper, we consider the competitive dynamics on complex networks where two sets of agents have fixed and opposite-signed states, called competitors, and other agents, called normal agents, update their states based on the influence of their neighbors. The competition outcome is defined in terms of the number of normal agents with specific sign. We introduce a criterion based on the Influence Matrix(IM), which is constructed according to the structure of the network, to predict the bias of each normal agent and furthermore predict which set of competitors will win the competition. We also compare the performance of IM criterion with several classic centrality-based criteria in predicting the competition outcome. Simulations show that, in the aspect of predicting the bias of a normal agent, the average success rate of IM criterion keeps high as the cardinality of set of competitors varies. In predicting the result of the competition, for undirected networks, IM criterion performs better than other centrality based criteria when the cardinality of the set of competitors is greater than one. For directed networks, IM criterion is also one of the best criteria.

关键词： Competitive Dynamics,Influence Matrix,Centrality Measures

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Research on speed and tension multivariable system of reversible cold strip mill based on ILQ theory

Research on speed and tension multivariable system of revers...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Gang Zheng Xiao-Li Chao Zhe Yang Fu-Caiqian Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China Xi'an University of Technology Xi'an Shaanxi CN

ISBN: (纸本)9781467372220

For the speed and tension system of reversing cold strip mill with multivariable, uncertainties and strong coupling, a new method of inverse linear quadratic (ILQ) is proposed. Firstly, a relatively complete mathematical model for the speed and tension multivariable coupling system is established by using the mechanism modeling method. Then according to the state-space expression of the controlled system and aspirations closed-loop poles, optimal feedback matrix is obtained by ILQ method. Instead of choosing the weighted matrix simplifies the design process, and the asymptotic behavior of the system is robust. Simulation results show the effectiveness of this method.

关键词： Reversible cold strip mill Speed and tension multivariable control system inverse linear quadratic (ILQ) pole-assignment cold strip Cold strip mills pole assignment design process multiple input multiple output systems tension speed Aspirations (Psychology) system behavior asymptotic behavior

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Synthesis Approaches of Dynamic Output Feedback Robust MPC for LPV system with Unmeasurable Polytopic Model Parametric Uncertainty——Part *** Disturbance

Synthesis Approaches of Dynamic Output Feedback Robust MPC f...

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第27届中国控制与决策会议

作者： Baocang Ding Yugeng Xi Hongguang Pan Department of Automation School of Electronic and Information EngineeringXi'an Jiaotong University Department of Automation Shanghai Jiaotong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

For a linear parameter varying(LPV) system including unmeasurable polytopic model parametric uncertainty and polytopic disturbance,the output feedback model predictive control(MPC) is considered.A series of scalars,for relaxing the disturbance-related constraint handling,are integrated into the solution of dynamic output feedback *** approach stabilizes the system and improves the previous results.A numerical example is given to show the effectiveness of the proposed approach.

关键词： Output feedback,Model predictive control,Synthesis approach,Uncertain systems

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Networked Predictive control Based On The Round-Trip Delay

Networked Predictive Control Based On The Round-Trip Delay

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第三十四届中国控制会议

作者： Wang Binglin Kang Yu Yin Baoqun Xie Zhen Department of Automation University of Science and Technology of China The State Key Laboratory of Fire Science University of Science and Technology of China and Key Laboratory of Technology in Geo-Satial Information Processing and Application System Chinese Academy of Science School of Electrical Engineering and Automation Hefei University of Technology

ISBN: (纸本)9781467374439

Network predictive control is effectively in dealing with time-delay, data dropouts, packets disorders of Network control system. This paper studies the stochastic stability of a affine nonlinear system within random time delay. The system controller is consist of a control prediction generator(CPG) at the controller side and a network delay compensator(NDC) at the plant side. Different from the previous literatures that model the random delay of the feedback channel and the forward channel as Markov chain respectively, the model in this paper is based on the round-trip delay, which making the predictive control process more concise but without losing generality. Then, this paper gives the necessary and sufficient conditions for stochastic stability of the closed-loop system. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.

关键词： Predictive control,Affine system,Markov Process,Stochastic Stability

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Observer-Based Robust Coordinated Tracking of Multi-Agent systems with Input Saturation

Observer-Based Robust Coordinated Tracking of Multi-Agent Sy...

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IEEE Annual Conference on Decision and control

作者： Xiaoling Wang Housheng Su Xiaofan Wang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781479978878

This paper addresses the robust semi-global coordinated tracking problem of multiple-input multiple-output (MIMO) multi-agent systems with input saturation and communication noise. A distributed observer-based coordinated tracking protocol is constructed by combining a novel parameterized low-and-high feedback technique with the high-gain observers design approach. It is shown that, under the assumptions that each agent is asymptotically null-controllable with bounded controls and the network is connected, semi-global consensus tracking or semi-global swarm tracking can be attained for left-invertible and minimal-phase systems.

关键词： noise(communication) bounded control tracking high gain Agents

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MR-COF: A genetic MapReduce configuration optimization framework 15th

MR-COF: A genetic MapReduce configuration optimization frame...

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15th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2015

作者： Liu, Chao Zeng, Deze Yao, Hong Hu, Chengyu Yan, Xuesong Fan, Yuanyuan Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan430074 China China Services Computing Technology and System Lab and Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783319271392

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing resources. Hadoop has many configuration parameters, some of which are crucial to the performance of MapReduce jobs. In practice, these parameters are usually set to default or inappropriate values. This severely limits system performance (e.g., execution time). Therefore, it is essential but also challenging to investigate how to automatically tune these parameters to optimize MapReduce job performance. In this paper, we propose an automatic MapReduce configuration optimization framework named as MR-COF. By monitoring and analyzing the runtime behavior, the framework adopts a cost-based performance prediction model that predicts the MapReduce job performance. In addition, we design a genetic search algorithm which iteratively tunes parameters in order to find out the best one. Testbed-based experimental results show that the average MapReduce job performance is increased by 35% with MR-COF compared to the default configuration. © Springer International Publishing Switzerland 2015.

关键词： MapReduce

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SAR Automatic Target Recognition Based on Slow Feature Analysis

SAR Automatic Target Recognition Based on Slow Feature Analy...

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2015 IEEE International Conference on Progress in Informatics and Computing(PIC 2015)

作者： Rentuo Tao Bin Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China

This paper presents a new Synthetic Aperture Radar（SAR） Automatic Target Recognition（ATR） method based on slow feature analysis. Slow feature analysis（SFA） is a method for learning invariant or slowly varying features from multi-dimensional input signal. The SFA-based SAR ATR system does not require any pre-processing, such as filtering or pose estimation of the image. The performance of the method is evaluated via three classification experiments on Moving and Stationary Target Acquisition and Recognition（MSTAR） database. The experiment results show the effectiveness of the proposed method on SAR ATR problem.

关键词： Synthetic Aperture Rader Slow Feature Analysis Nonlinear expansion Sphering Principal Component Analysis

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Spiking neural P systems with anti-spikes and without annihilating priority as number acceptors

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Journal of systems Engineering and Electronics 2014年第3期25卷 464-469页

作者： Gangjun Tan Tao Song Zhihua Chen Key Laboratory of Image Information Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology

Spiking neural P systems with anti-spikes （ASN P systems） are variant forms of spiking neural P systems, which are inspired by inhibitory impulses/spikes or inhibitory synapses. The typical feature of ASN P systems is when a neuron contains both spikes and anti-spikes, spikes and anti-spikes wil immediately annihilate each other in a maximal way. In this paper, a restricted variant of ASN P systems, cal ed ASN P systems without anni-hilating priority, is considered, where the annihilating rule is used as the standard rule, i.e., it is not obligatory to use in the neuron associated with both spikes and anti-spikes. If the annihilating rule is used in a neuron, the annihilation wil consume one time unit. As a result, such systems using two categories of spiking rules （identified by （a, a） and （a,a^-）） can achieve Turing completeness as number accepting devices.

关键词： membrane computing spiking neural P system Turing completeness register machine anti-spike.

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ROBUST CONSENSUS FOR MULTI-AGENT systemS OVER UNBALANCED DIRECTED NETWORKS

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Journal of systems Science & Complexity 2014年第6期27卷 1121-1137页

作者： LI Dequan WANG Xiaofan YIN Zhixiang School of Science Anhui University of Science and Technology Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

In this paper,a distributed consensus protocol is proposed for discrete-time single-integer multi-agent systems with measurement noises under general fixed directed *** time-varying control gains satisfying the stochastic approximation conditions are introduced to attenuate noises,thus the closed-loop multi-agent system is intrinsically a linear time-varying stochastic difference *** the mean square consensus convergence analysis is developed based on the Lyapunov technique,and the construction of the Lyapunov function especially does not require the typical balanced network topology condition assumed for the existence of quadratic Lyapunov ***,the proposed consensus protocol can be applicable to more general networked multi-agent systems,particularly when the bidirectional and/or balanced information exchanges between agents are not *** the proposed protocol,it is proved that the state of each agent converges in mean square to a common random variable whose mathematical expectation is the weighted average of agents' initial state values;meanwhile,the random variable's variance is bounded.

关键词： Consensus directed network distributed algorithm stochastic approximation.

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Reconfigurable Elements of Execution Semantics for Industrial Cyber-Physical systems

Reconfigurable Elements of Execution Semantics for Industria...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Wenbin Dai Cheng Pang Valeriy Vyatkin Key Laboratory of System Control and Information Processing Ministry of Education of China and Department of Automation Shanghai Jiao Tong University China Cheng Pang Aalto University Finland

ISBN: (纸本)9781479917631

With the increasing computing power and network capacity, distributed automation systems are facing new challenges of handling massive amounts of distributed nodes within tight real-time constraints. The industrial cyber-physical systems is considered as the key to solve these complexities. In distributed industrial automation systems, there exists several execution semantics. In this paper, all existing execution semantics are summarized as a set of rules which are described by reconfigurable elements. During the simulation and verification of industrial cyber-physical systems, those rules are helpful to provide a generic runtime environment which can perform various execution semantics. This reconfigurable execution environment is demonstrated using a case study of a room lighting system.

关键词： Execution Semantics IEC 61499 Function Blocks Industrial Cyber-Physical systems Programmable Logic controllers Reconfiguration Programmable logic controllers Reconfiguration Legal Executions Semantics semiotics configurability automation system Operating Environment computational power Industrial network capacity

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