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On Distributed Order Low-Pass Filter

2010 IEEE/ASME International Conference on Mechatronic and Embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

作者： Yan Li Hu Sheng YangQuan Chen School of Control Science and Engineering Shandong UniversityJinan Shandong 250061 P. R. China. Department of Electronic Engineering Dalian University of TechnologyDalian 116024 P. R. China. Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer En

In this paper, we derive the impulse response of the fractional distributed order low-pass filters. Based on the derived analytical impulse response, a method on how to perform the discretization of the above distribu... 详细信息

关键词： computer languages

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TSPVT: An efficient verification tool for time sensitive security protocols

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2010年第SUPPL. 1期50卷 1513-1520页

作者： Li, Zhoujun Zhao, Qianqian Zhou, Ti School of Computer Science and Engineering Beihang University Beijing 100191 China Department of Software Beijing Aerospace Control Center Beijing 100094 China

Automatical verification of time sensitive protocols is a difficult research topic in formal analyses, with the key problem being how to simply and efficiently check time constraints led by time stamps. TSPVT, which automatically verifies time sensitive protocols, was developed from the SPVT(security protocol verifying tool) in the Objective Caml language. TSPVT takes time sensitive protocols in an extended π-like calculus model with time events as its input model, then translates the π-like calculus model into a Horn logic model P extended by the time constraint system. The Horn logic model P is composed of a set of rules for honest participants as well as another set of rules for attackers. In the verification period, TSPVT computes the fix point of P when the tool needs to process the X-resolution among rules within the time constraint system and then verifies the authentication of the protocol based on the fixed point. A simplified description of the verification process using TSPVT is given in detail using the Denning-Sacco protocol as an example, with the results showing the validity of the verifier.

关键词： Authentication

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Frequency domain surface EMG sensor fusion for estimating finger forces

Frequency domain surface EMG sensor fusion for estimating fi...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Alex Urfer Steve Chiu D. Subbaram Naidu Marco P. Schoen Measurement and Control Engineering Research Center MCERC Idaho State University Pocatello ID USA MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Mechanical Engineering MCERC Idaho State University Pocatello ID USA

Extracting or estimating skeletal hand/finger forces using surface electro myographic (sEMG) signals poses many challenges due to cross-talk, noise, and a temporal and spatially modulated signal characteristics. Normal sEMG measurements are based on single sensor data. In this paper, array sensors are used along with a proposed sensor fusion scheme that result in a simple Multi-Input-Single-Output (MISO) transfer function. Experimental data is used along with system identification to find this MISO system. A Genetic Algorithm (GA) approach is employed to optimize the characteristics of the MISO system. The proposed fusion-based approach is tested experimentally and indicates improvement in finger/hand force estimation.

关键词： Force Electromyography Muscles Transfer functions Sensor fusion Force measurement

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An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort

An integrated control of shading blinds, natural ventilation...

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IEEE International Conference on Automation science and engineering (CASE)

作者： Biao Sun Peter B. Luh Qing-Shan Jia Ziyan Jiang Fulin Wang Chen Song Center of Intelligent and Networked Systems (CFINS) Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Connecticut Storrs CT USA Department of Building Science Tsinghua University Beijing China Safety and Control Systems China and the Tsinghu-UTC Research Institute of Integrated Building Energy United Technologies Research Center Inc. Beijing China

Improving the control of shading blinds, lights, natural ventilation, and HVAC systems while satisfying human comfort requirements can result in significant energy cost savings with time-of-day electricity pricing. Traditionally, the above-mentioned devices are controlled separately. In this paper, a novel formulation for the integrated control and the corresponding solution methodology are presented. The problem is to minimize daily energy costs of lights and HVAC systems while satisfying equipment capacities, system dynamics, and human comfort. The problem is complicated since 1) individual rooms are coupled as they compete for the HVAC with limited capacity and nonlinear characteristics, and 2) the problem is believed to be NP-hard in view that decision variables are all discrete. A solution methodology that combines Lagrangian relaxation and stochastic dynamic programming is developed within the surrogate optimization framework to obtain near-optimal strategies. These strategies are further refined to become novel control rules for easy practical implementation. Numerical simulation results show that both of the above strategies can effectively reduce the total energy cost, and that the integrated control works better than selected traditional control strategies.

关键词： Ventilation Humidity Equations Optimization Heating Humans

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New enhancement of infrared image based on human visual system

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Chinese Optics Letters 2009年第3期7卷 206-209页

作者：于天河李秋明戴景民 Department of Automation Measurement and Control Engineering Harbin Institute of Technology Computer Center Harbin University of Science and Technology School of Astronautics Harbin Institute of Technology

Infrared images are firstly analyzed using the multifractal theory so that the singularity of each pixel can be extracted from the images. The multifractal spectrum is then estimated, which can reflect overall characteristic of an infrared image. Thus the edge and texture of an infrared image can be accurately extracted based on the singularity of each pixel and the multifractal spectrum. Finally the edge pixels are classified and enhanced in accordance with the sensitivity of human visual system to the edge profile of an infrared image. The experimental results obtained by this approach are compared with those obtained by other methods. It is found that the proposed approach can be used to highlight the edge area of an infrared image to make an infrared image more suitable for observation by human eyes.

关键词： Imaging systems Infrared imaging Infrared spectroscopy Pixels

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Nonlinear system control using adaptive neural fuzzy networks based on a modified differential evolution

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IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 2009年第4期39卷 459-473页

作者： Chen, Cheng-Hung Lin, Cheng-Lin Lin, Chin-Teng Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taiping City 411 Taiwan Department of Computer Science Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Brain Research Center University System of Taiwan Hsinchu 300 Taiwan

This study presents an adaptive neural fuzzy network (ANFN) controller based on a modified differential evolution (MODE) for solving control problems. The proposed ANFN controller adopts a functional link neural network as the consequent part of the fuzzy rules. Thus, the consequent part of the ANFN controller is a nonlinear combination of input variables. The proposed MODE learning algorithm adopts an evolutionary learning method to optimize the controller parameters. For design optimization, a new criterion is introduced. A hardware-in-the loop control technique is developed and applied to the designed ANFN controller using the MODE learning algorithm. The proposed ANFN controller with the MODE learning algorithm (ANFN-MODE) is used in two practical applications-the planetary-train-type inverted pendulum system and the magnetic levitation system. The experiment is developed in a real-time visual simulation environment. Experimental results of this study have demonstrated the robustness and effectiveness of the proposed ANFN-MODE controller. © 2009 IEEE.

关键词： controllers

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Passive decoy-state quantum key distribution with practical light sources

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Physical Review A 2010年第2期81卷 022310-022310页

作者： Marcos Curty Xiongfeng Ma Bing Qi Tobias Moroder ETSI Telecomunicación Department of Signal Theory and Communications University of Vigo Campus Universitario E-36310 Vigo (Pontevedra) Spain Institute for Quantum Computing & Department of Physics and Astronomy University of Waterloo N2L 3G1 Waterloo Ontario Canada Center for Quantum Information and Quantum Control Department of Physics and Department of Electrical & Computer Engineering University of Toronto M5S 3G4 Toronto Ontario Canada Quantum Information Theory Group Institute of Theoretical Physics I University of Erlangen-Nürnberg D-91058 Erlangen Germany Max Planck Institute for the Science of Light D-91058 Erlangen Germany

Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the laser pulses is an effective way of preparing decoy states in principle, in practice passive preparation might be desirable in some scenarios. Typical passive schemes involve parametric down-conversion. More recently, it has been shown that phase-randomized weak coherent pulses (WCP) can also be used for the same purpose [M. Curty et al., Opt. Lett. 34, 3238 (2009).] This proposal requires only linear optics together with a simple threshold photon detector, which shows the practical feasibility of the method. Most importantly, the resulting secret key rate is comparable to the one delivered by an active decoy-state setup with an infinite number of decoy settings. In this article we extend these results, now showing specifically the analysis for other practical scenarios with different light sources and photodetectors. In particular, we consider sources emitting thermal states, phase-randomized WCP, and strong coherent light in combination with several types of photodetectors, like, for instance, threshold photon detectors, photon number resolving detectors, and classical photodetectors. Our analysis includes as well the effect that detection inefficiencies and noise in the form of dark counts shown by current threshold detectors might have on the final secret key rate. Moreover, we provide estimations on the effects that statistical fluctuations due to a finite data size can have in practical implementations.

关键词： Photodetectors

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Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller

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IEEE Transactions on Fuzzy Systems 2009年第3期17卷 668-682页

作者： Chen, Cheng-Hung Lin, Cheng-Jian Lin, Ching-Teng Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung County 411 Taiwan Department of Computer Science National Chiao-Tung University Hsinchu 300 Taiwan Brain Research Center University System of Taiwan Hsinchu 300 Taiwan

This paper presents an efficient immune symbiotic evolution learning (ISEL) algorithm for the compensatory neuro-fuzzy controller (CNFC). The proposed ISEL method includes three major components-initial population, subgroup symbiotic evolution, and immune system algorithm. First, the self-clustering algorithm that determines proper input space partitioning and finds the mean and variance of the Gaussian membership functions and number of rules is applied to the initial population. Second, the subgroup symbiotic evolution method that uses each subantibody represents a single fuzzy rule and the evolution of the rule itself. Third, the immune system algorithm uses the clonal selection principle, such that antibodies between others of high similar degree are canceled, and these antibodies, after processing, will have higher quality, accelerating the search, and increasing the global search capacity. Finally, the proposed CNFC with ISEL (CNFC-ISEL) method is adopted to solve several nonlinear control problems. The simulation results have shown that the proposed CNFC-ISEL can outperform other methods. © 2009 IEEE.

关键词： Immune system

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Designing linear phase FIR filters with particle swarm optimization and harmony search

Designing linear phase FIR filters with particle swarm optim...

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作者： Shirvani, Abdolreza Khezri, Kaveh Razzazi, Farbod Lucas, Caro Computer Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Biomedical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical Engineering Department Islamic Azad University of Tehran Science Research Branch Iran Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Iran

ISBN: (纸本)9783642105456

In recent years, evolutionary methods have shown great success in solving many combinatorial optimization problems such as FIR (Finite Impulse Response) filter design. An ordinary method in FIR filter design problem is Parks-McClellan, which is both difficult to implement and computationally expensive. The goal of this paper is to design a near optimal linear phase FIR filter using two recent evolutionary approaches;Particle Swarm Optimization (PSO) and Harmony Search (HS). These methods are robust, easy to implement, and they would not trap in local optima due to their stochastic behavior. In addition, they have distinguishing features such as less variance error and smaller overshoots in both stop and pass bands. To prove these benefits, two case studies are presented and obtained results are compared with previous implementations. In both cases, better and reliable results are achieved. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： FIR filters

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Multi-static radar target tracking using information consensus filters

Multi-static radar target tracking using information consens...

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作者： Casbeer, David W. Beard, Randal W. Control Science Center of Excellence Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering Brigham Young University Provo UT 84651 United States

ISBN: (纸本)9781563479786

In this paper, the information consensus filter (ICF) is adapted to non-linear process and measurement models by employing an extended information filter (EIF). The nonlinear ICF is a decentralized estimator, where each node in the sensor network maintains a local estimate. A node's local observations are fused with the local estimate, and the new information is communicated throughout the network by a consensus filter. We apply the non-linear ICF to a multi-static radar tracking system, where unmanned aerial vehicles (UAVs) act as mobile adaptive radar receivers. Each UAV maintains a local track of the target using the non-linear ICF, and for a small UAV team, it is shown that the accuracy of the decentralized non-linear ICF is similar to that of the estimate in an centralized extended information filter. Copyright © 2009 by David W. Casbeer.

关键词： Sensor nodes

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