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Corrigendum to “A pathway-based network analysis of hypertension-related genes” [Physica A 444 (2016) 928–939]

Physica A: Statistical Mechanics and its Applications 2016年 447卷 569-570页

作者： Huan Wang Jing-Bo Hu Chuan-Yun Xu De-Hai Zhang Qian Yan Ming Xu Ke-Fei Cao Xu-Sheng Zhang School of Computer Science and Technology Baoji University of Arts and Sciences Baoji Shaanxi 721016 China Center for Nonlinear Complex Systems Department of Physics School of Physics Science and Technology Yunnan University Kunming Yunnan 650091 China School of Electronic and Electrical Engineering Baoji University of Arts and Sciences Baoji Shaanxi 721016 China School of Software Yunnan University Kunming Yunnan 650091 China School of Physics and Electronic Science Chuxiong Normal University Chuxiong Yunnan 675000 China School of Mathematical Sciences Kaili University Kaili Guizhou 556011 China Modelling and Economics Unit Centre for Infectious Disease Surveillance and Control Public Health England 61 Colindale Avenue London NW9 5EQ UK Medical Research Council Centre for Outbreak Analysis and Modelling Department of Infectious Disease Epidemiology School of Public Health Imperial College London Norfolk Place London W2 1PG UK

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Real-time optimal scheduling of smart power distribution systems using integrated receding horizon control and convex conic programming

Real-time optimal scheduling of smart power distribution sys...

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2014 IEEE Industry Application Society Annual Meeting, IAS 2014

作者： Moghadasi, Seyedmahdi Kamalasadan, Sukumar Power Energy and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of North Carolina at Charlotte CharlotteNC United States

ISBN: (纸本)9781479922888

In this paper, we propose a convex Optimal Power Flow (OPF) formulation integrated within Receding Horizon control (RHC) method using Second Order Conic Programming (SOCP). The main advantages of the proposed method are a) global optimal scheduling with faster computation time b) dynamic equation models with real-time control c) integration of uncertain resources and measurements. The effectiveness of this method is evaluated using a 32 bus power distribution test system, considering various network constraints that include market interaction, energy storage dynamics and uncertain model of wind generation. The efficiency of the proposed method compared to RHC AC Optimal Power Flow (RHC-ACOPF) architecture is also evaluated. The results show that the proposed architecture outperforms the RHC-ACOPF in computation time and guaranties the global optimal solution. Also the proposed method provides effective usage of energy storage system as the RHC integration allows including dynamic modeling of energy storage within the optimization algorithm. © 2014 IEEE.

关键词： Convex optimization

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Stochastic Inverse optimal control of unknown linear networked control system in the presence of random delays and packet losses

Stochastic Inverse optimal control of unknown linear network...

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American control Conference

作者： Santiago Elvira-Ceja Edgar N. Sanchez S. Jagannathan Automatic Control Laboratory CINVESTAV IPN Unidad Guadalajara Av. del Bosque 1145 Col. El Bajio 45019 Zapopan Jalisco Mexico Department of Electrical and Computer Engineering Missouri University of Science and Technology 1870 Miner Cicle Rolla MO 65409

ISBN: (纸本)9781479917730

In this paper, the inverse optimal control approach is applied to stabilization in probability of unknown linear networked control system (NCS) in presence of random delays and packet losses. The proposed control scheme is based on Kalman filter parameter estimation to solve the infinite horizon regulator problem for NCS with stochastic system matrices, and avoids to solve the associated stochastic Riccati equation (SRE);additionally a cost functional is minimized. The stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function.

关键词： Packet loss Networked control systems Stochastic Liapunov function control systems Optimal control Inverse Unknown

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Computational approaches for bad data handling in power system synchrophasor networks 19

Computational approaches for bad data handling in power syst...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9783902823625

The state estimators used in real-time power system control centers now process bad data as a standard routine. W ith the introduction and deployment of phasor measurement units (PMUs), it is possible to model power systems, even with their time-varying nature, in real-t ime. However, PMUs remain vulnerable to providing bad data for several reasons. In this paper, a new intelligent framework, the cellular computational n etwo rk (CCN), is introduced for the decentralized predictive modeling and dynamic state estimation (DSE) of a power system with PMU data. Th e CCN-bas ed DSE is res ilient to interactions between multiple segments of bad data from one or more PMUs. © IFAC.

关键词： Phasor measurement units

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A novel local search approximation algorithm for relay node placement in Wireless Sensor Networks

A novel local search approximation algorithm for relay node ...

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IEEE Conference on Wireless Communications and Networking

作者： Chaofan Ma Wei Liang Meng Zheng Hamid Sharif Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Department of Computer & Electronics Engineering University of Nebraska-Lincoln Omaha NE USA

ISBN: (纸本)9781479984077

In two-tiered Wireless Sensor Networks (WSNs) relay node placement considering resource constraints and high overhead of the relay nodes plays a key role in extending the network lifetime. Therefore, approaches that support fewer relay nodes are desired to cover the WSNs. In this paper, we formulate the relay node placement problem as a Geometric Disc Covering (GDC) problem, and propose a novel local search approximation algorithm (LSAA) to solve the GDC problem. In the proposed LSAA, the sensor nodes are allocated into independent groups and then a Set Cover (SC) for each group is performed. The set of the SC for each group constitutes a SC of the GDC problem. LSAA is extensively investigated and analyzed by rigorous proof and the simulation results presented in this paper clearly demonstrate that the proposed LSAA outperform the approaches reported in literature in the reduction in deployed relay nodes.

关键词： Relays Approximation methods Approximation algorithms Wireless sensor networks Bridges Time complexity Conferences

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State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

State Estimation of Finite-State Hidden Markov Models Subjec...

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IEEE Annual Conference on Decision and control

作者： Wentao Chen Junzheng Wang Ling Shi Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.

关键词： State estimation Hidden Markov models Event trigger Probability distribution Mean square error numerical example

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Level spacing statistics for two-dimensional massless Dirac billiards

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Chinese Physics B 2014年第7期23卷 41-52页

作者：黄亮徐洪亚来颖诚 Celso Grebogid Institute of Computational Physics and Complex Systems and Key Laboratory for Magnetism and Magnetic Materials of MOE Lanzhou University School of Electrical Computerand Energy EngineeringArizona State University Department of Physics Arizona State University Institute for Complex Systems and Mathematical Biology School of Natural and Computing SciencesKing's CollegeUniversity of Aberdeen

Classical-quantum correspondence has been an intriguing issue ever since quantum theory was proposed. The search- ing for signatures of classically nonintegrable dynamics in quantum systems comprises the interesting field of quantum chaos. In this short review, we shall go over recent efforts of extending the understanding of quantum chaos to relativistic cases. We shall focus on the level spacing statistics for two-dimensional massless Dirac billiards, i.e., particles confined in a closed region. We shall discuss the works for both the particle described by the massless Dirac equation （or Weyl equation） and the quasiparticle from graphene. Although the equations are the same, the boundary conditions are typically different, rendering distinct level spacing statistics.

关键词： quantum chaos level spacing statistics Dirac billiards graphene billiards

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Moment Matching Based Model Reduction for LPV State-Space Models

Moment Matching Based Model Reduction for LPV State-Space Mo...

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IEEE Annual Conference on Decision and control

作者： Mert Bastug Mihaly Petreczky Roland Toth Rafael Wisniewski John Leth Denis Efimov Department of Electronic Systems Automation and Control Aalborg University 9220 Aalborg Denmark Department of Computer Science and Automatic Control (UR Informatique et Automatique) Ecole des Mines de Douai 59508 Douai France Department of Electrical Engineering Control Systems Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Non-A INRIA Lille - Nord Europe Parc Scientifique de la Haute Borne 40 avenue Halley Bat. A Park Plaza 59650 Villeneuve d'Ascq France

ISBN: (纸本)9781479978878

We present a novel algorithm for reducing the state dimension, i.e., order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output behavior of the reduced order model approximates that of the original model. In fact, for input and scheduling sequences of a certain length, the input-output behaviors of the reduced and original model coincide. The proposed method can also be interpreted as a reachability and observability reduction (minimization) procedure for LPV-SS representations with affine dependence.

关键词： Reduced order model original model INPUT-OUTPUT Affine In-law Accessibility Moment of force

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On the Shortest Path Planning for the Carangiform Robotic Fish 33

On the Shortest Path Planning for the Carangiform Robotic Fi...

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第三十三届中国控制会议

作者： LIU Chang CHEN Songlin Jianxun Wang Xiaobo Tan Control and Simulation Center Harbin Institute of Technology Smart Microsystems Laboratory Department of Electrical and Computer EngineeringMichigan State UniversityEast LansingMI 48824USA

ISBN: (纸本)9781479947249

Considering the under-actuated characteristic of the carangiform robotic fish whose forward movement and turning are carried out by its single caudal fin, this paper investigates its shortest path planning problem subjected to the terminal constrains. First, a simplified kinematics model is proposed in view of its locomotion characteristic. With this model, the shortest path planning is transformed into the shortest time optimal control problem and the maximum principle is employed to obtain the necessary condition. Furthermore, based on the analysis on the relationship between the length of all feasible paths and the terminal condition, the sufficient and necessary conditions are derived for the shortest path under any terminal constrains. Finally, a program developed with Matlab verifies the effectiveness of the proposed results.

关键词： carangiform robotic fish,shortest path,maximum principle

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Photovoltaic plant operating statuses identification model based on support vector machine using loss quantity of electricity feature parameters

Photovoltaic plant operating statuses identification model b...

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International Conference on Renewable Power Generation (RPG 2015)

作者： Kangping Li Fei Wang Zhao Zhen Yujing Sun Zengqiang Mi Hongbin Sun Chun Liu Bo Wang Jing Lu State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University) Baoding 071003 Hebei Province China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment (Department of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China China Electric Power Research Institute Haidian District Beijing 100192 China)

ISBN: (纸本)9781510821415

Operating Statuses Identification (OSI) can help operators to find fault timely and minimize the loss. So it is of great significance for optimal operation of photovoltaic (PV) plants. The loss quantity of electricity (LQOE) is defined as that should have been generated but actually not, which is caused by inverter fault, PV modules fault, dust stratification or combinations of them. Firstly, mathematical models of PV cells are proposed to figure out the LQOE of each PV module. Secondly, after analysing the relation between LQOE and operating statuses, an index set of LQOE describing the distinction of different operating statuses are defined including four statistical feature parameters and a user-defined index. Thirdly, Support Vector Classification models for OSI (OSI-SVC) are built with input features extracted from the index set. Lastly, simulations are carried out to verify the effectiveness and evaluate the performance of the OSI-SVC models. The results indicated that the operating statuses can be effectively recognized by the proposed model.

关键词： Feature Extraction Loss quantity of electricity Operating Statuses Identification Support Vector Machine

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