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第36届中国控制会议

作者： Yulian Jiang Hongquan Wang Shenquan Wang College of Electrical and Electronic Engineering Changchun University of Technology

ISBN: (纸本)9781538629185

This paper researches the consensus problem for networked control system consisting of multiple simple-pendulums driven by corresponding DC ***,under the condition that the partial state information of the multiple simple-pendulums system is not available,we propose a consensus control protocol based on relative output feedback,which simplifies the consensus *** the same time,we consider the nonlinear and switching ***,because the control protocol is a nonlinear matrix inequality,which cannot be solved directly,an iterative algorithm is utilized to solve *** improves the application range of relative output feedback ***,the effectiveness of the obtained results is analyzed by simulation.

关键词： Multiple simple-pendulums system Relative Output feedback Consensus iterative algorithm

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Computing the Optimal Exponent of Correct Decoding for Discrete Memoryless Sources

Computing the Optimal Exponent of Correct Decoding for Discr...

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IEEE International Symposium on Information Theory (ISIT)

作者： Jitsumatsu, Yutaka Oohama, Yasutada Kyushu Univ Dept Informat Fukuoka Japan Univ Electrocommun Dept Commun Engn & Informat Chofu Tokyo Japan

ISBN: (纸本)9781509018062

The form of Dueck and Korner's exponent function for correct decoding probability for discrete memoryless channels at rates above the capacity is similar to the form of Csiszar and Korner's exponent function for correct decoding probability in lossy source coding for discrete memoryless sources at rates below the rate distortion function. We recently gave a new algorithm for computing Dueck and Korner's exponent. In this paper, we give an algorithm for computing Csiszar and Korner's exponent. The proposed algorithm can also be used to compute cutoff rate and the rate distortion function.

关键词： discrete memoryless source strong converse correct decoding probability exponent iterative algorithm

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Super-resolution image reconstruction from a sequence of motion images

Super-resolution image reconstruction from a sequence of mot...

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Symposium on Remote Sensing and GIS Data Processing and Applications;and Innovative Multispectral Technology and Applications

作者： Xie, Wei Sun, Tao Liu, Guoying Qin, Qianqing Wuhan Univ Natl Engn Res Ctr Multimedia Software 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Elect Informat Sch Wuhan 430079 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469540

Super-resolution technology is used to reconstruct a single high resolution image from a Sequence of low resolution images to try to restore the information outside of the cutoff frequency, so observer can obtain more details and useful information from the acquired images. This paper proposes a new method based on projection onto convex sets, adaptive to subpixel motion estimation, to create a high resolution image from a sequence of lower-resolution motion images. The experiment shows that edge details of the reconstructed image remain very well and more useful information can be obtained form the reconstructed image. But parasitic bellows and noise are still exists and slightly enlarged in somewhere. Generally speaking, the method is robust and effective.

关键词： super resolution image reconstruction motion image affine projection projection onto convex sets iterative algorithm Gaussian PSF

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APPROXIMATE LEAST SQUARES

APPROXIMATE LEAST SQUARES

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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Lunglmayr, Michael Unterrieder, Christoph Huemer, Mario Klagenfurt Univ A-9020 Klagenfurt Austria Johannes Kepler Univ Linz Inst Signal Proc A-4040 Linz Austria

ISBN: (纸本)9781479928934

We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motivation of the algorithm we discuss the algorithm's properties including its complexity, and we present theoretical results as well as simulation based performance results. We describe the analysis of its convergence behavior and show that in the noise free case the algorithm converges to the least squares solution.

关键词： least squares approximation iterative algorithm complexity

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Optimum SIR balancing using extended 1-norm beamforming optimization

Optimum SIR balancing using extended 1-norm beamforming opti...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Boche, H Schubert, M Heinrich Hertz Inst Nachrichtentech Berlin GmbH D-10587 Berlin Germany

ISBN: (纸本)0780374029

We address the problem of joint downlink beamforming and power control in a wireless cellular system, where several users share the same time slot and the same frequency band. In order to enable a fair sharing of resources among all users, the SIR levels should be balanced by minimizing the infinity-norm of a certain vector. To this end, Gerlach and Paulraj [1] proposed an iterative algorithm, which is based on a 1-norm cost function. It has been observed that this algorithm approximates the optimum infinity-norm solution. In this paper we characterize the case where this algorithm is optimal. The analytical results are used to develop a new algorithm, which always converges to the optimum infinity-norm solution, regardless of the chosen initialization. A proof of convergence is given.

关键词： cellular radio radiofrequency interference optimisation array signal processing iterative methods radio links telecommunication control power control convergence of numerical methods joint downlink beamforming power control optimum SIR balancing extended 1-norm beamforming optimization wireless cellular system frequency band sharing time slot sharing iterative algorithm 1-norm cost function optimum /spl infin/-norm solution convergence

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An iterative method for output feedback mixed H₂/H_∞ control problem

An iterative method for output feedback mixed <i>H</i><sub>2...

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Annual Conference on the Society-of-Instrument-and-Control-Engineers

作者： Kami, Yasushi Nobuyama, Eitaku Akashi Natl Coll Technol Dept Elect & Comp Engn Hyogo Japan Kyushu Inst Technol Dept Syst Innovat & Informat Fukuoka Japan

ISBN: (纸本)9784907764289

This paper treats the output feedback H-2 control with H-infinity norm constraint (mixed H-2/H-infinity control problem). In general, this problem is a BMI problem which is difficult to be solved theoretically. The purpose of this paper is to propose an iterative method for obtaining a sub-optimal solution of the mixed H-2/H (infinity) control problem. The key idea of this paper is to employ a full-order observer-based controller. The proposed method produces a sequence of controllers which approaches to the unconstrained globally optimal H-2 controller while it satisfies the H-infinity norm constraint. A numerical example shows the effectiveness of our method.

关键词： mixed H-2/H-infinity control output-feedback observer-based controller iterative algorithm

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Transfer operator approach for computing domain of attraction 49

Transfer operator approach for computing domain of attractio...

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49th IEEE Conference on Decision and Control (CDC)

作者： Wang, Kai Vaidya, Umesh Iowa State Univ Dept Elect & Comp Engn Ames IA 50011 USA

ISBN: (纸本)9781424477463

In this paper, we propose a linear transfer operator-based approach for the computation of domain of attraction of an attractor set. The almost everywhere notion of stability of an attractor set is used for the computation of domain of attraction. The proposed method is applicable to autonomous dynamical systems with the only requirement that the system mapping is a differentiable function of states. Furthermore domain of attraction of any general attractor set can be computed. Set oriented numerical scheme and iterative procedure based on the solution of finite dimensional linear program is proposed for the computation of domain of attraction. The application of the proposed method is demonstrated on two and three dimensional continuous and discrete-time systems.

关键词： Transfer operator Domain of attraction iterative algorithm

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Energy Efficiency Optimization in Large-Scale Distributed MIMO Systems over K Fading Channels 28

Energy Efficiency Optimization in Large-Scale Distributed MI...

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28th Annual IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

作者： Lu, Guangyan Li, Lihua Du, Liutong Tian, Hui Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100786 Peoples R China

ISBN: (纸本)9781538635315

In this paper, we investigate the energy efficiency (EE) of large-scale distributed multiple-input multiple-output (D-MIMO) systems. Firstly, we derive an analytical closed-form expression of the lower bound on the ergodic capacity for D-MIMO systems, and the asymptotic performance for the large-scale antenna arrays systems over K fading channels is proposed. Utilizing these results, we elaborate on the EE optimization problem with transmitted power constraint. To tackle this multi-objective optimization problem, we propose an one-dimension iterative search algorithm with low complexity to obtain the optimal number of receive antennas, transmitted power and achievable sum rate with optimum EE. Simulation results verify the performance gain of the proposed scheme along with the increasing number of transmit antennas.

关键词： Large-scale MIMO distributed MIMO K fading channel energy efficiency iterative algorithm

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A Mean Field Control approach for Demand Side Management of Large Populations of Thermostatically Controlled Loads

A Mean Field Control approach for Demand Side Management of ...

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European Control Conference (ECC)

作者： Grammatico, Sergio Gentile, Basilio Parise, Francesca Lygeros, John Swiss Fed Inst Technol Automat Control Lab Zurich Switzerland

ISBN: (纸本)9783952426937

This paper presents a Mean Field (MF) control approach for demand side management of large populations of flexible electric loads, such as electrical cooling/heating appliances, called Thermostatically Controlled Loads (TCLs). We model the switching dynamics of each individual TCL as the solution of a local optimization problem, characterized by individual cost function, comfort constraints, cooling/heating rates and external temperature. We consider that a central utility company broadcasts macroscopic incentives to steer the overall TCL population towards a convenient equilibrium, to avoid power demand peaks due to possible synchronization of the TCL duty cycles. To find such pricing schemes we propose an iterative algorithm where, at every step, a simple model-free feedback law is used to update the incentives, given the current aggregate demand of the TCL population only. The convergence of such algorithm is ensured for any population size, even in the presence of heterogeneous convex constraints. We illustrate our MF control approach via numerical analysis.

关键词： cooling demand side management feedback heating iterative methods pricing temperature temperature control MF control approach TCL duty cycle TCL population central utility company comfort constraint convenient equilibrium cooling/heating rate electrical cooling/heating appliance external temperature flexible electric load heterogeneous convex constraint individual cost function iterative algorithm macroscopic incentive mean field control approach model-free feedback law numerical analysis power demand peak pricing scheme switching dynamics synchronization thermostatically controlled load Companies Load modeling Power demand Pricing Sociology Statistics Switches

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Nonparametric estimation of multivariate distribution function for truncated and censored lifetime data

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EUROPEAN ACTUARIAL JOURNAL 2019年第1期9卷 209-239页

作者： Baskakov, Valery Bartunova, Anna European Actuarial & Consulting Serv EURACS IAAC Malaya Filevskaya St 50Ap 80 Moscow 121433 Russia RFTA 4A Pudovkina Str Moscow 119285 Russia

A number of models for generating statistical data in various fields of insurance, including life insurance, pensions, and general insurance have been considered. It is shown that the insurance statistics data, as a rule, are truncated and censored, and often multivariate. We propose a non-parametric estimation of the distribution function for multivariate truncated-censored data in the form of a quasi-empirical distribution and a simple iterative algorithm for its construction. To check the accuracy of the proposed evaluation of the distribution function for truncated-censored data, simulation studies have been conducted, which showed its high efficiency. The proposed estimates have been tested for many years by the IAAC Group of Companies in the actuarial valuation of corporate social liabilities according to IAS 19 Employee Benefits. Apart from insurance, some results of the work can be used, for example in medicine, biology, demography, mathematical theory of reliability, etc.

关键词： Nonparametric estimation Censored and truncated data Multivariate distribution function Survival analysis iterative algorithm

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