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Comparative study of VSP binning methods for estimating fuel consumptions of LDVs on urban roads

AIP Conference Proceedings 2019年第1期2066卷

作者： Qi Zhao Qi Chen Guohua Song Lei Yu 1Beijing Key Laboratory of Urban Intelligent Traffic Control Technology North China University of Technology Beijing 100144 China 2MOE Key Laboratory for Urban Transportation Complex System Theory and Technology Beijing Jiaotong University Beijing 100044 China 3College of Science and Technology Texas Southern University Houston Texas 77004 United States

The micro-scale fuel consumption model is a tool commonly used to evaluate the effect of traffic flow conditions on vehicle fuel consumptions, which is an essential step in developing traffic management strategies for saving fuels. In developing any micro-scale fuel consumption model, the Vehicle Specific Power (VSP) binning method has been widely adopted in recent years as a fundamental approach. Existing studies have shown that the high distribution frequency when VSP=0 contributes to high fuel consumptions, so a question quickly emerged about whether VSP=0 should be designed as an independent VSP bin in the VSP binning method. This paper strives to compare different VSP binning methods for Light-Duty Vehicles (LDVs) on urban roads in Beijing in terms of their effects on the estimation of fuel consumptions. After collecting and processing field vehicle activity data and fuel consumption data, three VSP binning methods are proposed for the study. Then, total fuel consumptions and fuel consumption factors are calculated by using the proposed VSP binning methods as well as the second-by-second and average travel speed data. Finally, the estimation accuracy of total fuel consumptions and fuel consumption factors based on the three different VSP binning methods are compared for LDVs on urban roads. The study proves that an independent VSP bin at VSP=0 is indeed necessary, which can improve the estimation accuracy on both total fuel consumptions and fuel consumption factors.

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Smooth controller design for non-linear systems using multiple fixed models

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IET Control Theory & Applications 2017年第9期11卷 1467-1473页

作者： Jie Chen Wei Chen Jian Sun The Key Laboratory of Intelligent Control and Decision of Complex System School of Automation Beijing Institute of Technology Beijing People's Republic of China Science and Technology on Electronic Information Control Laboratory Chengdu People's Republic of China

Multiple model adaptive control (MMAC) with second-level adaptation is a recently proposed methodology for dealing with systems where the parametric uncertainty is large. Compared with the multiple model switching scheme, the new scheme can lead to significant improvements in performance. Some research has been conducted using the new scheme, but all of the results concern linear systems with an adaptive identification model set. In this study, MMAC with second-level adaptation scheme is extended to non-linear systems in strict feedback form, and the fixed identification model set is under consideration. This is motivated by the fact that a smooth controller can lead to smooth performance and the fixed identification model set gains potential advantages over the adaptive identification model set, especially for the case that the parameters of the system change over the time. Design details are presented and the stability of MMAC with second-level adaptation using a fixed identification model set for non-linear systems is given, which has not been discussed before. Finally, two simulations are performed to show that this scheme performs much better than conventional schemes, including adaptive control and multiple-model switching schemes, in terms of convergence speed and transient performance.

关键词： nonlinear control systems control system synthesis adaptive control uncertain systems linear systems identification convergence transient performance convergence speed fixed identification model set second-level adaptation scheme adaptive identification model set linear systems multiple model switching scheme parametric uncertainty MMAC multiple model adaptive control multiple fixed models nonlinear systems smooth controller design

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Non-contact transportation and rotation of micro objects by vibrating glass needle circularly under water

Non-contact transportation and rotation of micro objects by ...

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2017 IEEE International Conference on Robotics and Automation, ICRA 2017

作者： Liu, Xiaoming Kojima, Masaru Shi, Qing Wang, Huaping Sun, Tao Mae, Yasushi Huang, Qiang Arai, Tatsuo Fukuda, Toshio Intelligent Robotics Institute School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China Department of Systems Innovation Osaka University 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan Faculty of Science and Engineering Meijo University 1-501 Shiogamaguchi Tenpaku-ku Nagoya468-8502 Japan

ISBN: (纸本)9781509046331

In micromanipulation, lots of methods have been developed to manipulate objects in microscale. However, few of them can be applied in both the transportation and the rotation of the micro objects. In this paper, we present a novel method to realize the non-contact transportation and rotation of the micro objects based on the vibration-induced swirl flow. A piezo actuator is set between the glass needle and a metal rod. The sine wave with controlled frequency and amplitude is input into the piezo actuator to drive the glass needle to move circularly, which is caused by resonance of the actuator and the metal rod. We place the glass needle under water and keep a limited distance to the bottom. The circular vibration of the glass needle can generate a swirl flow and low pressure around it. The low pressure can trap and transport the micro objects vertically to the glass needle, and the swirl flow can rotate the objects continuously. Finally, we realize the trap and rotation of micro object with only one piezo actuator. Experiments of transportation and rotation of microbeads are carried out, and the results demonstrate it is a simple, low-cost, effective micromanipulation method. © 2017 IEEE.

关键词： Needles

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Experimental Model Identification of Liquid-Circular Angular Accelerometer using Subspace Method 35

Experimental Model Identification of Liquid-Circular Angular...

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第35届中国控制会议

作者： WANG Meiling LI Xiang CHENG Siyuan FU Mengyin XIAO Meifeng Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Nanjing University of Science and Technology

ISBN: (纸本)9781509009107

In this paper, the model of a novel liquid-circular angular accelerometer is studied. Due to the absence of theoretical model of liquid-circular angular accelerometer, a subspace identification method(SIM) based on Akaike Information Criterion(AIC) is chosen for model identification of angular accelerometer. The proposed identification method is tested on a liquid-circular angular accelerometer prototype. The experimental results indicate that SIM could obtain a more accurate model than least square method, with a degree of fitting above 90%. In addition, SIM possesses good repeatability and stability. The experimental model identified by SIM in this paper can be applied in engineering practice.

关键词： system Identification Angular Accelerometer Subspace Method

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Animal migration optimization algorithm for constrained engineering optimization problems

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Journal of Computational and Theoretical Nanoscience 2016年第1期13卷 539-546页

作者： Zhou, Yongquan Luo, Qifang Ma, Mingzhi Qiao, Shilei Bao, Zongfan College of Information Science and Engineering Guangxi University for Nationalities Nanning530006 China Guangxi High School Key Laboratory of Complex System and Intelligent Computing Nanning530006 China

Animal migration optimization (AMO) is a novel bio-inspired swarm intelligent optimization algorithms based on the behavior of animal swarm migration. This paper presents a fast convergence animal migration optimization (FCAMO) algorithm to improve standard AMO of the convergence speed and precision, whose key is reduce the search space dynamically, which significantly improves the original AMO in solving complex constraint optimization problems. FCAMO is verified using constraint engineering design problems. The simulation results show that the algorithm has a good performance than that of the ABC, CS, BA and other mentioned algorithms for solving the constraint engineering problems. © 2016 American Scientific Publishers All rights reserved.

关键词： Animals

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Spectral gap, isoperimetry and concentration on trees

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science China Mathematics 2016年第3期59卷 539-556页

作者： LIU Wei MA Yu Tao WU Li Ming School of Mathematics and Statistics Wuhan University Computational Science Hubei Key Laboratory Wuhan University School of Mathematical Sciences & Laboratory of Complex System and Intelligent Control Beijing Normal University Laboratoire de Mathematics Université Blaise Pascal

We consider the nearest-neighbor model on the finite tree T with generator L. We obtain a twosided estimate of the spectral gap by factor 2. We also identify explicitly the Lipschitzian norm of the operator(-L)^(-1) in propriate functional space. This leads to the identification of the best constant in the generalized Cheeger isoperimetric inequality on the tree, and to transportation-information inequalities.

关键词： tree nearest-neighbor model Poisson equation transportation-information inequality concentration inequality Cheeger-type isoperimetric inequality

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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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Design of multilayer microwave absorbers using hybrid binary lightning search algorithm and simulated annealing

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Progress In Electromagnetics Research B 2017年 78卷 75-90页

作者： Lu, Yuting Zhou, Yongquan School of Computer Electronics and Information Guangxi University Nanning530004 China College of Information Science and Engineering Guangxi University for Nationalities Nanning530006 China Key Laboratory of Guangxi High Schools Complex System and Intelligent Computing Nanning530006 China

In this paper, a hybrid algorithm of binary lightning search algorithm and simulated annealing (BLSA-SA) is proposed to optimize the design of multilayer microwave absorbers for normal incidence. The multilayer absorber is designed to find a set of coatings that minimize the reflection coefficient over the desired frequency. The design problem is translated into solving the binary problem. Three different design examples are presented to verify the performance of the BLSA-SA. The results show that the reflection coefficient and thickness of BLSA-SA are better than those of other heuristic algorithms for multilayer absorber design. In the five-layer design, the standard deviation of BLSASA is the smallest among the 20 independent test results of the algorithms, which indicates that the BLSA-SA algorithm, has a strong stability.

关键词： Simulated annealing

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Robust sampled-data control for Itô stochastic Markovian jump systems with state delay

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International Journal of Robust and Nonlinear Control 2018年第15期28卷

作者： Guoliang Chen Jian Sun Jianwei Xia School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China School of Mathematics Science Liaocheng University Liaocheng China

In this paper, the problem of robust sampled-data control for Itô stochastic Markovian jump systems (Itô SMJSs) with state delay is investigated. Using parameters-dependent Lyapunov functionals and some stochastic equations, we give stochastic sufficient stability criteria for polytopic uncertain Itô SMJSs. As a corollary, stochastic sufficient stability criteria are given for nominal Itô SMJSs. For this two cases of Itô SMJSs, based on the obtained stochastic stability criteria, their time-independent sampled-data controllers are designed, respectively. Then, for designing a time-dependent sampled-data controller for Itô SMJSs, a parameters-dependent time-scheduled Lyapunov functional is developed. New stochastic sufficient stability criteria are obtained for polytopic uncertain Itô SMJSs and nominal Itô SMJSs. Furthermore, their time-dependent sampled-data controllers are designed, respectively. Lastly, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Itô stochastic Markovian jump systems parameters-dependent time-scheduled Lyapunov functional robust sampled-data control stability

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Self adaptation of chimera states

arXiv

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arXiv 2018年

作者： Yao, Nan Huang, Zi-Gang Ren, Hai-Peng Grebogi, Celso Lai, Ying-Cheng Department of Applied Physics Xi’an University of Technology Xi’an710048 China School of Life Science and Technology Xi’an Jiao Tong University Xi’an710049 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex Systems and Mathematical Biology King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Physics Arizona State University TempeAZ85287 United States

Chimera states in spatiotemporal dynamical systems have been investigated in physical, chemical, and biological systems, and have been shown to be robust against random perturbations. How do chimera states achieve their robustness? We uncover a self-adaptation behavior by which, upon a spatially localized perturbation, the coherent component of the chimera state spontaneously drifts to an optimal location as far away from the perturbation as possible, exposing only its incoherent component to the perturbation to minimize the disturbance. A systematic numerical analysis of the evolution of the spatiotemporal pattern of the chimera state towards the optimal stable state reveals an exponential relaxation process independent of the spatial location of the perturbation, implying that its effects can be modeled as restoring and damping forces in a mechanical system and enabling the articulation of a phenomenological model. Not only is the model able to reproduce the numerical results, it can also predict the trajectory of drifting. Our finding is striking as it reveals that, inherently, chimera states possess a kind of "intelligence" in achieving robustness through self adaptation. The behavior can be exploited for controlled generation of chimera states with their coherent component placed in any desired spatial region of the system. Copyright © 2018, The Authors. All rights reserved.

关键词： Dynamical systems

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