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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12182 条记录，以下是4941-4950 订阅

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Hybrid Calibration of Agent-Based Travel Model using Traffic Counts and AVI Data 20

Hybrid Calibration of Agent-Based Travel Model using Traffic...

引用

20th IEEE international conference on Intelligent Transportation systems (ITSC)

作者： Ye, Peijun Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Peoples R China Natl Univ Def & Technol Mil Computat Expt & Parallel Syst Res Ctr Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781538615263

Artificial transportation system is critical to parallel transportation management. At its kernel is the agent-based computation which simulates individual's travel behaviors via disaggregated models and "grows" complex traffic scenarios for computational experiments. However, as a common problem, there still lacks a general calibration method for its agent travel behavioral models. Motivated by this, the paper proposes a calibration method for agent-based travel model in artificial system, which correlates macro traffic data with micro behavioral model parameters. The behavioral model is calibrated by two data sources from real urban transportation: link traffic counts and Automatic Vehicle Identification data. Our results indicate that the proposed method can help receive a reasonable model and be applied in general calibration problems.

关键词： Calibration Agent-Based Model Parallel Transportation Management

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Adaptive RBF Neural Network Based on SMC for APF control strategy study 10

Adaptive RBF Neural Network Based on SMC for APF control str...

引用

10th international conference on Intelligent Computation Technology and Automation (ICICTA)

作者： Zhang, Huiyue Liu, Yunbo Jiang, Zhengrong North China Univ Technol Elect Engn Inst Beijing 100144 Peoples R China

ISBN: (纸本)9781538612309

Current harmonics are the major concern in modern equipment. In this paper, an adaptive radical basis function neural network (RBFNN) is proposed to deal with dynamic tracking error problems which are the mathematic model uncertain or complex for the three-phase active power filter (APF). APF is necessary to compensate the harmonics exits in the nonlinear load to maintain the supply current stabilization. The adaptive RBFNN systems are employed to approximate the unknown system function in the sliding mode controller. The simulation results of APF demonstrate the outstanding compensation performance and strong robustness.

关键词： APF RBFNN control strategy SMC

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problems and Perspectives of Automation of Industrial Processes on Enterprises of Oil and Gas complex 20

Problems and Perspectives of Automation of Industrial Proces...

引用

20th IEEE international conference on Soft Computing and Measurements (SCM)

作者： Algina, T. B. Bobrova, O. S. Gladisheva, I. V. Minchenko, L. V. St Petersburg State Univ Econ St Petersburg Russia Northern Arctic Fed Univ Arkhangelsk Russia ITMO Univ St Petersburg Natl Res Univ Informat Technol Mech St Petersburg Russia

ISBN: (纸本)9781538618103

Purpose is to justify the need of automation of production of oil and gas. Practice of automation of production management shows unresolved problems for the majority of enterprises. The research conducted by the authors confirms the presence of a variety of information products, but we cannot guarantee their full compliance with the real needs of manufacturers. This leads to the necessity of development and implementation of manufacturing automation based on integrated systems with industry specifics. In the paper the preconditions of implementation of automation is provided, the choice of the integrated manufacturing execution system of oil and gas company is proved, the technique of introduction of automation of production management taking into account branch specifics is supposed. Automation will allow enterprises OGC to remove or minimize some of the problems that arise due to the large information overload, complexity of technological processes, risks of technogenic and social character.

关键词： strategic management problem management process automation production control information technology integrated management system the oil and gas complex

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modeling NoSQL systems in Many-nodes Hybrid Environments 11

Modeling NoSQL Systems in Many-nodes Hybrid Environments

引用

11th IEEE international conference on Application of Information and Communication Technologies (AICT)

作者： Rovnyagin, M. M. Chernilin, F. N. Guminskaia, A. V. Kinash, V. M. Myltsyn, O. V. Orlov, A. P. Kuzmin, A. V. Natl Res Nucl Univ MEPhI Moscow Engn Phys Inst Moscow Russia Penza State Univ Informat & Comp Syst Dept Penza Russia

ISBN: (纸本)9781538605011

Data search is one of the most important problems in the field of computer science and computer facilities. Classical relational DBMSs (RDBMS5), unfortunately, are not suitable as data storage systems for Big Data. Therefore, the concept NoSQL is now widely spread. A common feature of such systems is a high throughput and linear scalability, depending on the number of storage servers used. One of the most productive NoSQL-systems, at the moment is Apache Cassandra. In this paper, we suggest ways to simulate the performance of such systems in hybrid computing environments.

关键词： CPU/GPU hybrid architecture NVIDIA CUDA Distributed Databases NoSQL

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modeling of the Emission Device of Industrial Radio Interference Based on the Clock Generator

Modeling of the Emission Device of Industrial Radio Interfer...

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2017 international Multi-conference on Engineering, Computer and Information Sciences (SIBIRCON)

作者： Knyazev, N. S. Chechetkin, V. A. Davidov, E. I. Letavin, D. A. Engineering School of Information Technologies Telecommunications and Control Systems Ural Federal University named after the first President of Russia B.N. Yeltsin Yekaterinburg Russian Federation

ISBN: (纸本)9781538615966

This article is dedicated to modeling of the emission device of industrial radio interference based on the clock generator, which in real devices is the most common cause of electromagnetic compatibility problems. The device under test consists of a clock generator and two inverters connected through long printed conductors. Simulation results are obtained in CST Microwave Studio, with the simulation conditions close to measuring the emitted interference according to the standards. The results obtained are compared with the actual experiment in an semi-anechoic chamber. It is shown that the simulation of the device and the subsequent correct measurement of the parameters of emitted fields make it possible to obtain a fairly accurate approximation to the measurement results carried out in a semi-anechoic chamber of a real device at a lower cost. Such a method will allow identifying electromagnetic compatibility problems in the device at the development stage.

关键词： emission device clock generator emission electromagnetic compatibility

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A Distributed Cerebellar-inspired Learning Model for Robotic Arm control 39

A Distributed Cerebellar-inspired Learning Model for Robotic...

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39th Annual international conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Lin, Xiangqian Liu, Rong Dalian Univ Technol Biomed Engn Dept Dalian 116024 Liaoning Peoples R China Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781509028092

The cerebellum plays a big role in motor control and motor coordination in mammals, especially for limbs control. Therefore, many cerebellar models were proposed to be applied in the field of robotic arm control. However, some problems exist in the current cerebellar modeling approach, such as lack of the expression of bio-characteristics, limited learning ability et al. Therefore, a distributed cerebellar-inspired learning model was proposed to mimic the physiology and anatomy features of the cerebellum. Meanwhile, this model could learn to adjust the motor command according to the error information provided by the inferior olive to achieve control goal. To test the performance of the cerebellar model, a robotic arm control system was implemented. The results showed that our model was able to complete the robotic arm control tasks successfully.

关键词： Brain modeling Manipulators control systems Adaptation models Neurons Robot kinematics

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Intelligent control Algorithm Applied in Quasi-Z-Source Inverters Photovoltaic System with Multi-Peak Maximum Power Point Tracking (MPPT)

Intelligent Control Algorithm Applied in Quasi-Z-Source Inve...

引用

Chinese control conference (CCC)

作者： Jiayue Sun Huaguang Zhang Yingchun Wang He Jiang College of Information Science and Engineering Northeastern University Shenyang P. R. China

Technology of maximum power point tracking (MPPT) is the key issue for light volt generating under varying insolation and shading conditions. The maximum power point need to be dynamically changed when environmental condition is transformed from one to another avoiding local maximum power constantly, and a conventional adaptive maximum power controller is specifically designed for maintaining operation of the photovoltaic system at the maximum power point. Traditional MPPT technology cannot rapidly locate the global maximum power point reaching an impasse of global maxima. This paper studies a type of adaptive weight inertia variation cat swarm algorithm, which is realized by photovoltaic battery output voltage and the load voltage matching control, and achieves the maximum power output in the power system. Characteristic curves with multiple peak values present under the interference of numerous complex factors. This article expounds the algorithm solved the partial shade of multiplex mode optimization problems which is unable to realize by the traditional tracking. How to realize the maximum power point tracking is the key research for quasi-Z-source inverters in photovoltaic system. It is proved that the feasibility of the improved algorithm proposed and the advantages of high speed and precision in tracking build mathematical model used commonly through the MATLAB/Simulink.

关键词： Cats Photovoltaic systems Inverters Maximum power point trackers Voltage control Integrated circuit modeling

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Data-driven SISO Predictive control Using Adaptive Discrete-time Fliess Operator Approximations 21

Data-driven SISO Predictive Control Using Adaptive Discrete-...

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21st international conference on System Theory, control and Computing (ICSTCC)

作者： Gray, W. Steven Espinosa, Luis A. Duffaut Kell, Laurence T. Old Dominion Univ Dept Elect & Comp Engn Norfolk VA 23529 USA Univ Vermont Dept Elect & Biomed Engn Burlington VT 05405 USA ICCAT Secretariat C Corazon Maria 8 Madrid 28002 Spain

ISBN: (纸本)9781538638422

Modern control theory has been applied successfully in a wide variety of engineering disciplines for decades. In sharp contrast to this situation, however, there are fields like ecology where control methodologies have not been so successful in practice. This largely due to the poor quality of models that are available and the limited amount of reliable data that can be gathered. An emerging set of control techniques known collectively as data-driven control appears to be a natural candidate for control problems in such fields. The main objective of this paper is to describe one such algorithm based on recent advances in the modeling of nonlinear input-output systems in terms of Chen-Fliess series or Fliess operators. The idea is to combine a class of discrete-time Fliess operator approximators with a standard least-squares algorithm found in adaptive control to produce a time-varying input-output model that can be used to do predictive control. As an illustration, the method is applied to a predator-prey model in order to control the population level of the prey species.

关键词： Nonlinear systems Chen-Fliess series predictive control adaptive control ecology

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A Real-time Hand Postures Estimation Method 7

A Real-time Hand Postures Estimation Method

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7th IEEE Annual international conference on CYBER Technology in Automation, control, and Intelligent systems (CYBER)

作者： Chen, Sunjie Ma, Hongbin Han, Cong Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Beijing Inst Technol State Key Lab Complex Syst Intelligent Control & Beijing 100081 Peoples R China

ISBN: (纸本)9781538604908

Hand pastures can be used to achieve friendly human-machine interaction (HMI) for the advantages of simple expressions, informative instructions and unconstrained operations. However, most previous postures estimation methods have problems such as poor real time performance, low estimation accuracy, being sensitive to the varying illumination and relying on marks on hands or special assistant devices. In this paper, we will introduce an efficient real-time method to estimate hand postures with an ordinary monocular camera. This method contains two stages, which are hand segmentation and postures recognition. Rather segment objects from the whole image, we locate the hand within a local area first and then adapt motion, color and contour informations to segment the hand region accurately. After that, template matching algorithm is used to recognize hand postures with fingertips and shape features. The experimental results demonstrated that the introduced method realizes high estimation accuracy and fast processing speed. Furthermore, the method is robust to varying illumination conditions.

关键词： Microsoft Windows Image segmentation Image color analysis Estimation Motion segmentation Support vector machines Lighting"

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ENHANCING PATTERN SEARCH FOR GLOBAL OPTIMIZATION WITH AN ADDITIVE GLOBAL AND LOCAL GAUSSIAN PROCESS MODEL

ENHANCING PATTERN SEARCH FOR GLOBAL OPTIMIZATION WITH AN ADD...

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Winter Simulation conference (WSC)

作者： Meng, Qun Ng, Szu Hui Natl Univ Singapore Dept Ind Syst Engn & Management Singapore Singapore

ISBN: (纸本)9781538634288

Optimization of complex real-time control systems often requires efficient response to any system changes over time. By combining pattern search optimization with a fast estimated Gaussian Process model, we are able to perform global optimization more efficiently for response surfaces with multiple local minimums or even dramatic changes over the design space. Our approach extends pattern search for global optimization problems by incorporating the global and local information provided by an additive global and local Gaussian Process model. We further develop a global search method to identify multiple promising local regions for parallel implementation of local pattern search. We demonstrate our methods on a standard test problem.

关键词： Computational modeling Optimization Search problems Additives Gaussian processes

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