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A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm

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Neurocomputing 2017年 221卷 24-31页

作者： Rui Hu Shiping Wen Zhigang Zeng Tingwen Huang School of Automation Huazhong University of Science and Technology Wuhan PR China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan PR China Texas A & M University at Qatar Doha 5825 Qatar

Short term power load forecasting plays an important role in the security of power system. In the past few years, application of artificial neural network (ANN) for short-term load forecasting (STLF) has become a research hotspots. Generalized regression neural network (GRNN) has been proved to be suitable for solving the non-linear problems. And according to the historical load curve, it can be known that STLF is a non-linear problem. Thus, the GRNN was used for STLF in this paper. However, the value of spread parameter σ determines the performance of the GRNN. The fruit fly optimization algorithm with decreasing step size (SFOA) is introduced to select an appropriate spread parameter σ . Combined with the weather factors and the periodicity of short-term load, an effective STLF model based on the GRNN with decreasing step FOA was proposed. Performance of the proposed SFOA-GRNN model is compared with other ANN on the basis of prediction error.

关键词： Short term power load forecasting Generalized regression neural network Fruit fly optimization algorithm Decreasing step size

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Passive Running Motion with Variable Stiffness in Legs

Passive Running Motion with Variable Stiffness in Legs

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第35届中国控制会议

作者： Yong Hu Shijun Zhang Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory

ISBN: (纸本)9781509009107

This paper investigates the running motions of a planar biped robot with two springy *** expect to generate periodic running motions with regulable step length and step velocity by changing the stiffness in legs as well as guarantee the energy-preserving *** obtain some changing rules of the running motion with respect to the stiffness in legs by a large number of *** results will help to design high-efficiency running gaits for the robot.

关键词： Biped robot Passive running Variable stiffness

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Stabilization of fuzzy-modeled networked system with packet dropouts: An MDADT-based switching approach

Stabilization of fuzzy-modeled networked system with packet ...

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Annual Conference of Industrial Electronics Society

作者： Mengqi Xue Yang Tang Ligang Wu Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai P.R. China Research Institute of Intelligent Control and Systems School of Astronautics Harbin Institute of Technology Harbin China

In this work, the control problem for type-2 T-S fuzzy system with packet dropouts is investigated by modeling the system as a switched system with an unstable subsystem. The mode-dependent average dwell time approach in both slow and fast switching sense is utilized for the analysis and synthesis. A sufficient condition is given by ensuring the packet loss rate no bigger than the specific fast switching mode-dependent average dwell time (MDADT) and the corresponding feedback matrices are obtained. Several simulation results illustrate the feasibility and effectiveness of the proposed method and the priority of the type-2 fuzzy system on describing some nonlinear systems.

关键词： Switches Fuzzy systems Switched systems Packet loss Uncertainty

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Adaptive Position Feedback Consensus of Networked Euler-Lagrange Systems in the Presence of Communication Delays

Adaptive Position Feedback Consensus of Networked Euler-Lagr...

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第28届中国控制与决策会议

作者： Lijiao Wang Yong Hu Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering

ISBN: (纸本)9781467397155

This paper explores the leaderless consensus problem of multiple Euler-Lagrange(EL) systems interacted on directed graphs containing a spanning tree,provided that the velocity signals of the agents are unavailable.A delayrobust distributed output feedback control scheme is proposed within the observer-controller framework,which allows for dynamic uncertainties and uniform constant communication delays.A novel distributed sliding observer is first proposed such that the generalized joint velocities can be estimated online,and then the distributed adaptive controller with dynamic parameter updating is constructed based on the observed *** proposed strategy can ensure the scaled weighted average consensus of the EL agents,and the convergence of consensus errors is proved via the Lyapunov stability analysis tool,the graph theory and the frequency domain input-output analysis ***,simulations on networked robotic manipulators are provided to testify the effectiveness of the theoretical approach.

关键词： Euler-Lagrange(EL) systems Leaderless Consensus Communication Delays Sliding Observer Output Feedback control

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All-sky search for continuous gravitational waves from isolated neutron stars in the early O3 LIGO data

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Physical Review D 2021年第8期104卷 082004-082004页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics and Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illi

We report on an all-sky search for continuous gravitational waves in the frequency band 20–2000 Hz and with a frequency time derivative in the range of [−1.0,+0.1]×10−8 Hz/s. Such a signal could be produced by a nearby, spinning and slightly nonaxisymmetric isolated neutron star in our Galaxy. This search uses the LIGO data from the first six months of Advanced LIGO’s and Advanced Virgo’s third observational run, O3. No periodic gravitational wave signals are observed, and 95% confidence-level (C.L.) frequentist upper limits are placed on their strengths. The lowest upper limits on worst-case (linearly polarized) strain amplitude h0 are ∼1.7×10−25 near 200 Hz. For a circularly polarized source (most favorable orientation), the lowest upper limits are ∼6.3×10−26. These strict frequentist upper limits refer to all sky locations and the entire range of frequency derivative values. For a population-averaged ensemble of sky locations and stellar orientations, the lowest 95% C.L. upper limits on the strain amplitude are ∼1.4×10−25. These upper limits improve upon our previously published all-sky results, with the greatest improvement (factor of ∼2) seen at higher frequencies, in part because quantum squeezing has dramatically improved the detector noise level relative to the second observational run, O2. These limits are the most constraining to date over most of the parameter space searched.

关键词： Astrophysical studies of gravity Gravitational wave detection Gravitational wave sources Gravitational waves

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Future Development Trend of Multimedia Network

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IOP Conference Series: Materials science and Engineering 2018年第1期466卷

作者： Li Huang Kai Zhang Wei Hu Chengcheng Li College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan 430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan 430081 China Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Hubei Wuhan 430081 China

With the rapid development of computer network, multimedia technology has gradually spread throughout all aspects of people's life. This article, based on the concept and characteristics of multimedia, expounds the application of multimedia technology and the trend of future development. It makes a heavy analysis of multimedia teaching and analyses the meaning and advantage of multimedia teaching.

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Preliminary research on modeling and simulation technology of artificial intelligence system

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IOP Conference Series: Materials science and Engineering 2018年第4期452卷

作者： Kaiyue Li Lei Liu Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing 100074 China. Beijing Electro-Mechanical Engineering Institute Beijing 100074 China.

The complex system of large-scale intelligent, concurrent and polymorphic organizational structure is a hot topic in the field of simulation. Qualitative and quantitative research on such systems requires integration of related technologies in the fields of computer simulation, system theory, and artificial intelligence. Mufti-agent simulation uses system theory and Mufti-agent system modelling method to build a system high-level model, and uses the system computing model established for the simulation software and hardware support technology based on the agent model to realize the simulation. Because it can effectively deal with the interlinear, interactivity and emergence of complex systems, it is considered to be the most dynamic and breakthrough methodology for complex system simulation. Based on this paper, the concept, theoretical method, technology and application of intelligent system engineering are mainly discussed. The application of artificial intelligence in modelling and simulation is analysed with examples.

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On the periodic dynamics of memristor-based neural networks with leakage and time-varying delays

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Neurocomputing 2017年 219卷 163-173页

作者： Ping Jiang Zhigang Zeng Jiejie Chen School of Automation Huazhong University of Science and Technology Wuhan 430074 China School of Computer Hubei PolyTechnic University Huangshi 435002 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China School of Computer Science and Technology Hubei Normal University Huangshi 435000 China

In this paper, the periodic dynamics have been studied for a general kind of memristor-based neural networks with leakage and time-varying delays. Some new sufficient conditions have been derived ensuring that the existence, uniqueness and globally exponential stability of the periodic solution for the neural network by using differential inclusions theory, the topological degree theory in set-valued analysis and Lyapunov function technique and so on. As a special case, we have shown that the existence, uniqueness and global exponential stability of equilibrium point for the autonomous neural networks with leakage delays.

关键词： Memristor-based neural networks Leakage delays Time-varying delays Periodic solution Global exponential stability

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Effects of Structural Parameters on Hydraulic Performance of Flow Regulator

Effects of Structural Parameters on Hydraulic Performance of...

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CSAA/IET International Conference on Aircraft Utility Systems

作者： Yong Li Xuemei Zong Xiaoming Yuan Shiyi Zhao State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery and Jiangsu Xuzhou Construction Machinery Research Institute Xuzhou Construction Machinery Group Co. Ltd Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control and with the Key Laboratory of Advanced Forging & Stamping Technology and Science Yanshan University

ISBN: (纸本)9781510872745

In order to evaluate the hydraulic performance of a regulator, the pressure loss and the stabilization performance of the regulator installed in the fire water monitor were introduced. The effects of structures on a regulator were investigated by the structural model made in UG and the flow simulation conducted in ANSYS. The hydraulic performance of a star-shaped regulator was analyzed with different structure parameters, such as the blade number, axial length and rounded-corner. The effects of structure parameters on the regulator were revealed, based on which the hydraulic performance of the improved regulator with different blade numbers was analyzed. The results show that the improved regulator with two cross-sections in dislocation and six even-distributed blades has the better hydraulic performance. The preliminary experimental results show that the improved regulator can improve the jet range of a fire water monitor.

关键词： Fire water monitor Hydraulic performance Regulator Flow simulation

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Indoor 3D scene reconstruction for mobile robots using Microsoft kinect sensor 35

Indoor 3D scene reconstruction for mobile robots using Micro...

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第35届中国控制会议

作者： LI Jiang-Wei ZHENG Ding-Fu GUAN Zhi-Hong CHEN Chao-Yang JIANG Xiao-Wei ZHANG Xian-He College of Automation Huazhong University of Science and Technology The Key Laboratory of Ministry of Education for Image Processing and Intelligent Control (Huazhong University of Science and Technology) School of Information and Electrical Engineering Hunan University of Science and Technology College of Mechatronics and Control Engineering Hubei Normal University

ISBN: (纸本)9781509009107

3D mapping for unknown environments is a crucial issue for mobile service robots,which has many important applications in navigation and path *** this paper,we use Microsoft kinect sensor mounted on a mobile robot to obtain3 D *** the process,consistent frames of RGB-D data are captured and *** Closest Point(ICP)algorithm and incremental registration method are employed to perform the fine ***,we use OctoMap to store 3D map of octree representation,an efficient data ***,our results demonstrate the practical applicability and effectiveness of the proposed approach.

关键词： 3D mapping Kinect OctoMap Mobile Robots

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