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control reconfiguration of full-state linearizable systems by a virtual actuator

IFAC-PapersOnLine 2015年第21期48卷 339-344页

作者： Vey, D. Lunze, J. Žáčeková, E. Pčolka, M. Šebek, M. Institute for Automation and Computer Control Ruhr-Universität Bochum Bochum Germany Department of Control Engineering Czech Technical Uiversity in Prague Prague Czech Republic

This paper presents a new method for control reconfiguration of nonlinear, input-affine systems subject to actuator failures. For full-state linearizable systems it is shown that after the occurrence of an actuator failure the linearizing feedback has to be adapted to the failure case. In a second step, the reconfiguration of the re-linearized system can be accomplished by means of a static linear virtual actuator. An interesting observation is the fact that the faulty system stays reconfigurable as long as there is one actuator left in the faulty plant. This paper illustrates the method by considering a fluid process. © 2015

关键词： Feedback linearization

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Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

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International Journal of automation and computing 2015年第1期12卷 77-82页

作者： Kai Ma Liang Li Jie Yang Zhi-Xin Liu Xin-Bin Li Xin-Ping Guan School of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.

关键词： Femtocell cluster inter-femtocell interference bandwidth allocation Nash bargaining solution(NBS)

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Global Optimal Consensus of Multi-agent Systems with Bounded controls

Global Optimal Consensus of Multi-agent Systems with Bounded...

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第35届中国控制会议

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the global optimal consensus problem for a multi-agent system with bounded *** agent is described by a single-integrator dynamics and has its own objective function which is known to itself *** each agent,we construct a bounded local control law that uses the information accessible to it through the communication topology underlying the multi-agent *** is shown that these control laws together achieve global optimal consensus for the multi-agent system,that is,all agents reach consensus at a state that minimizes the sum of the objective functions of all agents as long as the communication topology is strongly connected and *** results are given to illustrate the theoretical results.

关键词： Multi-agent systems bounded control distributed optimization consensus optimal consensus

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Discrete-time Global Leader-Following Consensus of a Group of General Linear Systems Using Bounded controls:the State Feedback Case

Discrete-time Global Leader-Following Consensus of a Group o...

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第35届中国控制会议

作者： Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the problem of global leader-following consensus of a group of discrete-time general linear systems with bounded *** construct a bounded state feedback control law for each follower agent in the group by using a multihop relay protocol,in which the agent obtains the information of other agents through multi-hop paths in the communication *** number of hops each agent uses to obtain its information about other agents for an input is less than or equal to the sum of the number of real eigenvalues on the unit circle and the number of pairs of complex eigenvalues on the unit circle of the sub-system corresponding to the input,and the feedback gains are constructed from the adjacency matrix associated with the communication *** show that these control laws achieve global leader-following consensus when the communication topology is a strongly connected and detailed balanced directed graph and the leader is a neighbor of at least one follower agent.

关键词： Cooperative control consensus multi-agent systems discrete-time bounded controls

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Robust Semi-global Leader-following Consensus of Linear Multi-agent Systems with Imperfect Actuators

Robust Semi-global Leader-following Consensus of Linear Mult...

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第35届中国控制会议

作者： Liangren Shi Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper deals with the robust semi-global leader-following consensus problem for a linear multi-agent system with imperfect *** actuators of the follower agents have imperfect input output characteristics,such as those of saturation and dead-zone,and those characteristics are not precisely *** agents are also subject to input additive disturbances.A low-and-high gain based linear state feedback control law is constructed for each follower *** is shown that these control laws achieve robust semi-global leader-following consensus when the graph representing the communication topology among the followers is undirected and connected and the leader is a neighbor of at least one *** simulation illustrates the theoretical results.

关键词： Consensus leader-following actuator saturation dead-zone low-and-high gain feedback

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Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Reliability and Security Issues for IoT-based Smart Business...

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International Conference on Mathematics and computers in Sciences and in Industry (MCSI)

作者： Vyacheslav Kharchenko Maryna Kolisnyk Iryna Piskachova Nikolaos Bardis Department of Computer Systems and Networks National Aerospace University “KhAI” Kharkiv Ukraine Department of Automation and Control in Technical Systems National Technical University “KPI” Kharkiv Ukraine Department of Computer Science and Control System Ukrainian State University of the Railway Transport Kharkiv Ukraine Department of Mathematics & Engineering Sciences Hellenic Military Academy Athens - Vari Greece

ISBN: (纸本)9781509009749

One of the key subsystems from point of view of security of the complex IoT system is the smart business center (SB?) system. Some problems the design and operation of the SBC system are analyzed. When analysis of safety of the IoT system must take into account the reliability and security of the system at several levels: the level of sensors, the level of communication (communication lines, router, switch), the server level as the control device of components of the network, the level of the entire SBC subsystem. General architecture of network of the SB? is described. Reliability and security of key SB? hardwareand software manufacturers are analysed. In particular, security issue for SB? routers is considered. Shown the Markov model, which takes into account the technical conditions of typical network components of the SBC with the presence of software vulnerabilities when exposed to hacker attacks. On this model's basis it is possible to conduct further researches directed for improving the reliability operation and safety of IoT.

关键词： reliability Internet of Things smart business center network security

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Agreement technologies applied to transmission towers maintenance 13th

Agreement technologies applied to transmission towers mainte...

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13th European Conference on Multi-Agent Systems, EUMAS 2015 and 3rd International Conference on Agreement Technologies, AT 2015

作者： Chamoso, Pablo De la Prieta, Fernando De Paz Santana, Juan Francisco Bajo Pérez, Javier Belacortu Arandia, Ignacio Department of Computer Science and Automation Control University of Salamanca Plaza de la Merced s/n Salamanca37008 Spain Faculty of Informatics Department of Artificial Intelligence Technical University of Madrid Campus Montegancedo Boadilla del Monte Madrid28660 Spain Iberdrola Distribución Eléctrica S.A San Adrián Etorbidea 48 Bilbao Bizkaia48003 Spain

ISBN: (纸本)9783319335087

In the context of Smart Cities, one of the main indispensable elements required by a city is the electric power, for which electric towers are used to distribute it. Transmission towers have electrodes which need to be reviewed on a regular basis by controlling its resistance in order to assure avoidable malfunctions not to appear. From the point of view of Smart Cities, it is possible to address this maintenance task by trying to minimize the cost of operation through the estimation of values and the reduction of the size of the population sample. To do so, the use of an intelligent-agent virtual-organization based architecture is proposed within this working environment, which by using mathematical estimation models and agreement based negotiations it is capable of maximizing the estimations, minimizing the associated cost. The proposed model is evaluated in a simulator through a real case study, which allows validating the proposed approach. © Springer International Publishing Switzerland 2016.

关键词： Smart city

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A Data Driven Approach for Resting-state EEG signal Classificition of Schizophrenia with control Participants Using Random Matrix Theory

arXiv

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arXiv 2017年

作者： Liu, Haichun Zhang, TianHong Ye, Yumeng Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiaotong University Shanghai200240 China Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States

Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural oscillatory activity. However, few studies directly compare these anomalies among each types. Therefore, this study investigated whether these electrophysiological characteristics differentiate clinical populations from one another, and from non-psychiatric controls. To address this question, resting EEG power and coherence were assessed in 40 clinically high-risk individuals (CHR), 40 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). These findings suggest that resting EEG can be a sensitive measure for differentiating between clinical *** paper proposes a novel data-driven supervised learning method to obtain identification of the patients mental status in schizophrenia research. According to Marchenko-Pastur Law, the distribution of the eigenvalues of EEG data is divided into signal subspace and noise subspace. A test statistic named LES that embodies the characteristics of all eigenvalues is adopted. different classifier and different feature(LES test function) are selected for experiments, we have shown that using von Neumann Entropy as LES test function combine with SVM classifier could obtain the best average classification accuracy during three classification among HC, FES and CHR of Schizophrenia group with EEG signal. It is worth noting that the result of LES feature extraction with the highest classification accuracy is around 90% in two classification(HC compare with FES) and around 70% in three classification. Where the classification accuracy higher than 70% could be used to assist clinical diagnosis. Copyright © 2017, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Robust Stabilization of Input Constrained Uncertain Systems with Nonhomogeneous Markov Switching

Robust Stabilization of Input Constrained Uncertain Systems ...

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第28届中国控制与决策会议

作者： Yanyan Yin Zongli Lin Ministry of Education Key Laboratory of Advanced Process Control for Light Industry Institute of AutomationJiangnan University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781467397155

This paper addresses the problem of robust stabilization for uncertain systems subject to input saturation and nonhomogeneous Markov *** uncertainties are assumed to be norm bounded and the transition probabilities are time-varying and *** expressing the saturated linear feedback law on a convex hull of a group of auxiliary linear feedback laws and the time-varying transition probabilities inside a polytope,we establish conditions under which the closed-loop system is asymptotically *** on these conditions,the problem of designing the state feedback gains for achieving fast transience response with a guaranteed size of the domain of attraction is formulated and solved as a constrained optimization problem with linear matrix inequality(LMI) *** results are then illustrated by a numerical example.

关键词： Robust stabilization actuator saturation Markov jumps time-varying transition probabilities uncertainties

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A multi-objective optimization algorithm based on tissue P system for VRPTW 11th

A multi-objective optimization algorithm based on tissue P s...

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Dong, Wenbo Zhou, Kang Qi, Huaqing He, Cheng Zhang, Jun Song, Bosheng School of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control Huazhong University of Science and Technology WuhanHubei430074 China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036132

Vehicle routing problem with time windows has an important practical significance, but it is NP-Hard problem. In order to solve the problem, an optimization algorithm based on P system is proposed. The encoding of glowworm’s location is considered as evolutionary object and discrete glowworm evolution mechanism and variable neighborhood evolution mechanism are used as sub-algorithms. In this paper, the motion equations and related motion rules of glowworm algorithm are improved to optimize the performance of the algorithm. Meanwhile, in order to enlarge the search area of solution space and improve the precision, the variable neighborhood evolution mechanism is redesigned. Cell communication rules are used to exchange information between cells. Moreover, this paper introduced the concept of Pareto dominance to evaluate the advantages and disadvantages of the object, as a result, this method returns not a single non-dominated solution but a set of no-dominated solutions. At last, by solving the different Solomon numerical examples and simulation results show that the algorithm is easier to jump out of local optimal both achieves very good results in the number of vehicles and distance cost, besides, generates a lot of new solutions which are different from the database. This algorithm has the features of faster convergence rate and accurate precision, and it is competitive with other heuristic or metaheuristic algorithms in the literature. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Multiobjective optimization

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