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IEEE International Conference on Communications in China (ICCC)

作者： Fengxiang Wang Xiang Cheng Liuqing Yang Bo Yu Bingli Jiao School of Electronics Engineering & Computer Science Peking University Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

Unlike triple-polarized antennas, dual-polarized antennas can be easily implemented into thickness limited devices and thus have received much attention recently. Dual-polarized antennas have the potential to double the channel capacity in comparison with an omnidirectional single-input single-output (SISO) system. However, in real three-dimensional (3D) scenarios, dual-polarized antennas cannot capture the arriving power from the third polarization direction, which is orthogonal to the two-dimensional (2D) polarization plane. This will lead to power loss, which may significantly affect the resultant channel capacity. By proposing a novel two-sphere single-bounced geometry-based stochastic model (GBSM) and rigorously analyzing the change of polarization after single-bounced scattering, this paper studies the impact of the power loss on the channel capacity and specifies the conditions under which the channel capacity of dual-polarized systems is even worse than that of omnidirectional SISO systems. Not only that this is the first endeavor on this subject, but also this work is of practical importance in guiding appropriate deployment of dual-polarized antennas in real 3D indoor scenarios.

关键词： Three-dimensional displays Antennas Channel capacity Vectors Signal to noise ratio Correlation Azimuth

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Hypothesis testing framework for active object detection

Hypothesis testing framework for active object detection

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Nikolay Atanasov Bharath Sankaran Jerome Le Ny Thomas Koletschka George J. Pappas Kostas Daniilidis Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Electrical Engineering Ecole Polytechnique de Montreal QUE Canada Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)9781467356404

One of the central problems in computer vision is the detection of semantically important objects and the estimation of their pose. Most of the work in object detection has been based on single image processing and its performance is limited by occlusions and ambiguity in appearance and geometry. This paper proposes an active approach to object detection by controlling the point of view of a mobile depth camera. When an initial static detection phase identifies an object of interest, several hypotheses are made about its class and orientation. The sensor then plans a sequence of viewpoints, which balances the amount of energy used to move with the chance of identifying the correct hypothesis. We formulate an active M-ary hypothesis testing problem, which includes sensor mobility, and solve it using a point-based approximate POMDP algorithm. The validity of our approach is verified through simulation and experiments with real scenes captured by a kinect sensor. The results suggest a significant improvement over static object detection.

关键词： Vocabulary Feature extraction Mobile communication Object detection Robot sensing systems Planning Optimization

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Single intersection signal control based on Type-2 fuzzy logic

Single intersection signal control based on Type-2 fuzzy log...

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IEEE Symposium on Computational Intelligence in Vehicles and Transportation systems (CIVTS)

作者： Yunrui Bi Dipti Srinivasan Xiaobo Lu Zhe Sun Southeast University Nanjing Jiangsu CN Department of Electrical & Computer Engineering National University of Singapore Singapore School of Automation Southeast University Nanjing China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Single intersection is generally regarded as the elementary unit for solving traffic problem. A Type-2 fuzzy logic controller (T2FLC) for single intersection signal control is presented in this paper as Type-2 fuzzy logic can handle the imprecision, uncertainties and vagueness lying in the dynamic process more efficiently. Furthermore, the membership function parameters of Type-2 fuzzy logic controller are optimized by genetic algorithm (GA). Simulation experiments are designed to compare the queue length and vehicular average delay of Type-2 fuzzy control optimized by GA with general Type-2 fuzzy control, Type-1 fuzzy control and fixed-time control under various types of vehicle arrival rate. Experimental results indicate that our proposed control method can reduce the queue length and vehicular delay at the intersection effectively and thus demonstrates its superiority.

关键词： Vehicles Fuzzy logic Genetic algorithms Delays Optimization Junctions Educational institutions

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On the limit behavior for multi-agent dynamical systems

On the limit behavior for multi-agent dynamical systems

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3rd IFAC Workshop on Navigation, Guidance and control of Underwater Vehicles, NGCUV 2012

作者： Prodan, Ionela Bitsoris, Georges Olaru, Sorin Stoica, Cristina Niculescu, Silviu-Iulian Automatic Control Department France CNRS-SUPELEC Laboratory of Signal and Systems France Control Systems Laboratory Electrical Engineering Department University of Patras Greece

ISBN: (纸本)9783902823199

This paper addresses the optimal control of multiple linear agents in the presence of a set of adversary constraints. This type of constraints makes the convergence of the agents' dynamics towards the "natural" equilibrium position, impossible to fulfill. Therefore, this default equilibrium point has to be replaced by a set of equilibrium points or even accept the existence of limit cycles. Furthermore, the constraints introduced in the transitory optimization problem are non convex. The present paper proposes a dual-mode control strategy which switches between an unconstrained optimum controller and a constrained control law whenever the adversary constraints are activated. The proposed method builds on invariance concepts and proves to be related to eigenstructure assignment problems. The technique exhibits effective performance and is validated here by an illustrative example.

关键词： Multi agent systems

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state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays

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International Journal of Robust and Nonlinear control 2014年第13期25卷

作者： Derui Ding Zidong Wang Bo Shen Hongli Dong School of Information Science and Technology Donghua University Shanghai 200051 China Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH UK NAAM Research Group Department of Mathematics King Abdulaziz University Jeddah 21589 Saudi Arabia Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China

In this paper, the state estimation problem is investigated for a class of discrete-time stochastic systems in simultaneous presence of three network-induced phenomena, namely, fading measurements, randomly varying nonlinearities and probabilistic distributed delays. The channel fading is characterized by the ℓ th-order Rice fading model whose coefficients are mutually independent random variables with given probability density functions. Two sequences of random variables obeying the Bernoulli distribution are utilized to govern the randomly varying nonlinearities and probabilistic distributed delays. The purpose of the problem addressed is to design an state estimator such that the dynamics of the estimation errors is stochastically stable and the prespecified disturbance rejection attenuation level is guaranteed. Through intensive stochastic analysis, sufficient conditions are established under which the addressed state estimation problem is recast as a convex optimization one that can be solved via the semi-definite program method. Finally, a simulation example is provided to show the usefulness of the proposed state estimation scheme. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： state estimation fading measurements randomly varying nonlinearities probabilistic distributed delays

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H_∞ filtering with Diagonal Interacting Multiple Model Algorithm for Maneuvering Target Tracking

H_∞ filtering with Diagonal Interacting Multiple Model Algo...

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American control Conference

作者： X. Fu Y. Jia J. Du J. Zhang W. Li X. Liu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunication school of Electronic and Information Engineering Beihang University (BUAA) Department of Automatic Beijing Information and Science of University

ISBN: (纸本)9781479901777

This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H_∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.

关键词： Maneuvering Target Tracking Markov jump parameters effectiveness Target tracking maneuvering target State estimation Filtration tracking Noise measurement Diagonal Monte Carlo technique

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Meanshift algorithm based on kernel bandwidth adaptive adjust

Meanshift algorithm based on kernel bandwidth adaptive adjus...

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Chinese control Conference (CCC)

作者： Yunji Zhao Hailong Pei Baoluo Liu School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 China Key Laboratory of Autonomous Systems and Networked Control (South China University of Technology) Ministry of Education Guangzhou 510640 China Department of Computer and Information Engineering Luoyang Institute of Science and Technology Henan 471023 China

Object tracking algorithm based on Meanshift algorithm with fixed kernel bandwidth does not realize object tracking correctly with the scale of object changed. According to this, a scheme of kernel bandwidth adaptive adjustment and predictions of object cancroids based on Kalman filter is proposed in this paper. In this algorithm, Object location predicted based on Kalman filter is used to initialize the Meanshift algorithm. The variation tendency of the kernel bandwidth is also determined based on Kalman filter. Experiment results demonstrate that this algorithm can realize the kernel bandwidth adaptive adjustment and object location prediction. The robustness of the tracking algorithm is also enhanced.

关键词： Prediction algorithms Kalman filters Electronic mail Kernel Bandwidth Robustness Conferences

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A probabilistic framework for security constrained reserve scheduling of networks with wind power generation

A probabilistic framework for security constrained reserve s...

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2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012

作者： Vrakopoulou, Maria Margellos, Kostas Lygeros, John Andersson, Goran Power Systems Laboratory Department of Electrical Engineering ETH Zürich Zürich Switzerland Automatic Control Laboratory Department of Electrical Engineering ETH Zürich Zürich Switzerland

ISBN: (纸本)9781467314541

This paper proposes a novel probabilistic framework to design an N-1 secure day-ahead dispatch, while determining the minimum cost reserves for power systems with high wind penetration. To achieve this, we build on previous work, and formulate a stochastic optimization program with chance constraints, which encode the probability of satisfying the transmission capacity constraints of the lines. To incorporate then a reserve decision scheme, we take into account the steady state behavior of the secondary frequency controller, and hence consider the reserves to be a linear function of the total generation-load mismatch. The overall problem results in a chance constrained bilinear program;to achieve tractability, two alternative convex reformulations are proposed, and the so called scenario approach is employed. This approach is based on sampling the uncertain parameter (in this paper the wind power) while keeping the desired probabilistic guarantees. To illustrate the effectiveness of the proposed technique we apply it to the IEEE 30-bus network, and compare the alternative reformulations in terms of cost and performance by means of Monte Carlo simulations, corresponding to different wind power realizations generated by a Markov chain based model. © 2012 IEEE.

关键词： Wind power

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Gallager's Error Exponent Analysis of STBC systems over η-μ Fading Channels

Gallager's Error Exponent Analysis of STBC Systems over η-...

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IEEE International Conference on Communications

作者： Jiayi Zhang Michail Matthaiou George K. Karagiannidis Zhenhui Tan Haibo Wang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Institute of Broadband Wireless Mobile Communications Beijing Jiaotong University Beijing China

The Gallager's random coding error exponent for space-time block codes (STBC) over multiple-input multiple-output (MIMO) block-fading channels, with Gaussian input distribution, is investigated. Gallager's error exponent can be used to determine the required codeword length to achieve a prescribed error probability at a given rate below the channel capacity. We first provide new, analytical expressions for Gallager's exponent of STBC systems over η-μ fading channels. The Shannon capacity and cutoff rate, which can be directly derived from Gallager's exponent, are further examined. In order to get additional insights, a high signal-to-noise ratio analysis is pursued to investigate the effects of coherence time and codeword length on the error probability. For the sake of completeness, we provide the link to previous known results on Rayleigh and Nakagami-m fading channels.

关键词： MIMO Channel coding Signal to noise ratio Error probability Rayleigh channels

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A nonlinear voltage controller using T-S fuzzy model for multimachine power systems

A nonlinear voltage controller using T-S fuzzy model for mul...

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9th International Multi-Conference on systems, Signals and Devices, SSD 2012

作者： Abbadi, A. Boukhetala, D. Nezli, L. Kouzou, A. Electrical and Computer Engineering Department Research Laboratory in Electrical Engineering and Automatic LREA University of Medea Algeria Electrical Engineering Department Process Control Laboratory El Harach Polytechnic School Algiers Algeria Electrical Department University Centre of Djelfa Ain Chih BP 3117 Djelfa Algeria

ISBN: (纸本)9781467315906

In this paper we propose a decentralized nonlinear controller that has the ability to enhance the transient stability and achieve voltage regulation simultaneously for multimachine power systems. This paper extends the existing work on the construction of TS fuzzy model using linearly independent functions from nonlinear systems. This approach is based on Takagi-Sugeno (T-S) fuzzy controller via parallel distributed compensation (PDC) method. The stability analysis and control design problems can be reduced to linear matrix inequality (LMI) problems. Based on only local measurements, the designed fuzzy state feedback controller guarantees stability and satisfies desired transient responses. The proposed controller is applied to two-generator infinite bus power system. Simulation results illustrate the performance of the developed approach regardless of the system operating conditions. © 2012 IEEE.

关键词： Linear matrix inequalities

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