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9th International Symposium on Neural Networks, ISNN 2012

作者： De Angelis, Francesco Boaro, Matteo Fuselli, Danilo Squartini, Stefano Piazza, Francesco Wei, Qinglai Wang, Ding Dipartimento di Ingegneria dell'Informazione Universitá Politecnica Delle Marche Ancona Italy State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783642313455

Smart homes of the future will include automation systems that will provide lower energy consumption costs and comfortable environments to end users. In this work we propose an algorithm, based on the "Mixed-Integer Linear Programming" paradigm, able to find the optimal task and energy scheduling in realistic residential scenarios, in order to reduce costs and satisfy the user requirements at the same time. Both the static and the dynamic case studies have been addressed on purpose and results obtained from computer simulations seem to confirm the effectiveness of the idea. © 2012 Springer-Verlag.

关键词： Scheduling

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Optimal battery management with ADHDP in smart home environments 1

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9th International Symposium on Neural Networks, ISNN 2012

作者： Fuselli, Danilo De Angelis, Francesco Boaro, Matteo Liu, Derong Wei, Qinglai Squartini, Stefano Piazza, Francesco Dipartimento di Ingegneria dell'Informazione Universitá Politecnica Delle Marche Ancona Italy State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (数字)9783642313622

ISBN: (纸本)9783642313615

In this paper an optimal controller for battery management in smart home environments is presented in order to save costs and minimize energy waste. The considered scenario includes a load profile that must always be satisfied, a battery-system that is able to storage electrical energy, a photovoltaic (PV) panel, and the main grid that is used when it is necessary to satisfy the load requirements or charge the battery. The optimal controller design is based on a class of adaptive critic designs (ACDs) called action dependent heuristic dynamic programming (ADHDP). Results obtained with this scheme outperform the ones obtained by using the particle swarm optimization (PSO) method. © 2012 Springer-Verlag.

关键词： automation

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Design and implementation of a wireless video sensor network

Design and implementation of a wireless video sensor network

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2012 9th IEEE International Conference on Networking, Sensing and control, ICNSC 2012

作者： Tian, Bin Zhao, Xue-Liang Yao, Qing-Ming Zha, Lei State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Jiangsu China Sciences Intelligent Engineering Co. Ltd. Suzhou China

ISBN: (纸本)9781467303880

As a new research field in wireless sensor network (WSN), wireless video sensor network (WVSN) makes surveillance multifunctional and intelligent, with rich and intuitive sensing information. It attracts more and more researchers' attention. We design and implement a wireless video sensor network prototype system, using WIFI as the wireless communication solution and CMOS video camera as the front-end sensor. The wireless video node adopts ARM11 based embedded platform. As back-end processing algorithm, the node realizes moving object detection. Finally, we verify the sensor network system. WIFI network can transmit video sequences smoothly. The moving object detection algorithm performs well. © 2012 IEEE.

关键词： CMOS integrated circuits

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Tuning of PID controller based on fruit fly optimization algorithm

Tuning of PID controller based on fruit fly optimization alg...

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2012 9th IEEE International Conference on Mechatronics and automation, ICMA 2012

作者： Han, Jiuqi Wang, Peng Yang, Xin Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Lab. of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467312776

The Proportional - Integral - Derivative (PID) controllers are one of the most popular controllers used in industry because of their remarkable effectiveness, simplicity of implementation and broad applicability. PID tuning is the key issue in the design of PID controllers and most of the tuning processes are implemented manually resulting in difficulty and time consuming. To enhance the capabilities of traditional PID parameters tuning techniques, modern heuristics approaches, such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), are employed recent years. In this paper, a novel tuning method based on Fruit Fly Optimization Algorithm (FOA) is proposed to optimize PID controller parameters. Each fruit fly's position represents a candidate solution for PID parameters. When the fruit fly swarm flies towards one location, it is treated as the evolution of each iterative swarm. After hundreds of iteration, the tuning results - the best PID controller parameters can be obtained. The main advantages of the proposed method include ease of implementation, stable convergence characteristic, large searching range, ease of transformation of such concept into program code and ease of understanding. Simulation results demonstrate that the FOA-Based optimized PID (FOA - PID) controller is with the capability of providing satisfactory closed - loop performance. © 2012 IEEE.

关键词： Three term control systems

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Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

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2012 IEEE International Conference on automation Science and Engineering: Green automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

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SVM-based just-in-time adaptive classifiers 1

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19th International Conference on Neural Information Processing, ICONIP 2012

作者： Alippi, Cesare Bu, Li Zhao, Dongbin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dipartimento di Elettronica e Informazione Politecnico di Milano 20133 Milano Italy

ISBN: (数字)9783642344817

ISBN: (纸本)9783642344800

Aging of sensors, faults in the read-out electronics and environmental changes are some immediate examples of time variant mechanisms violating that stationarity hypothesis mostly assumed in the design of classification systems. Such changes, known in the related literature as concept drift, modify the probability density function of measurements, hence impairing the accuracy of the classifier. To cope with these mechanisms, active classifiers such as the Just-in-time adaptive ones, are needed to detect a change in stationarity and modify the classifier configuration accordingly to track the process evolution. At the same time, when the process is stationary, new available supervised information is integrated in the classifier to improve over time its classification accuracy. This paper introduces a JIT adaptive classifier based on support vector machines able to track changes in the process generating the data with computational complexity and memory requirements well below that of current JIT classifiers integrating k-nearest neighbor solutions. © 2012 Springer-Verlag.

关键词： Support vector machines

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Carrier-based sensor deployment by a mobile robot for wireless sensor networks

Carrier-based sensor deployment by a mobile robot for wirele...

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2012 12th International Conference on control, automation, Robotics and Vision, ICARCV 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Beijing China

ISBN: (纸本)9781467318716

We consider a realistic wireless sensor deployment strategy by which mobile robot deploys sensor nodes when it moves along the linear backbone network with some branches. Because of its finite load capacity, the robot has to repeatedly move back to the position where all sensors are temporarily stored and reload sensor nodes, which leads to the robot has to travel the path many times and consumes more energy. We present a Shortest Traveling Path for Robot (STPR) algorithm by which the robot can reduce the traveling path and achieve the required coverage. All nodes are stored at the temporary starting point and mobile robot continuously loads sensors and moves to the destination, dropping some sensor to meet the basic coverage and connectivity requirements. The mobile robot arrives at the far intersection and deploys sensors along the branches in accordance with the algorithm rules, and then returns the recent branch when having enough sensors. Otherwise the robot moves back and deploys sensors on the back path. The robot reloads sensors and repeats the deployment process until all the branches and backbone is finished. The paper proves that the algorithm is effective compared with the common methods. Simulation results show that the algorithm effectively reduces the moving distance at the randomly generated network. © 2012 IEEE.

关键词： Mobile robots

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Traffic signal controller based on mobile agent

Traffic signal controller based on mobile agent

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Chen, Cheng Li, Zhenjiang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

With mobile agent technology, multi-agent traffic management system is one effective approach to realize the demand-based control. Traffic signal controller is the base of traffic management system. Hence, the realization of traffic signal controller based on mobile agent is indispensable. In this paper, we detailed the traffic signal controller based on Mobile agent in CASIA. Meanwhile, test data about its performance is given. © 2012 IEEE.

关键词： controllers

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A study on ARMA model based corporate equipment maintenance expenditure prediction

A study on ARMA model based corporate equipment maintenance ...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Lv, Minhui Zhao, Hongxia Shchool of Management Department of Equipment Economics and Management Naval University of Engineering Wuhan China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467324007

This paper focuses on macro prediction of corporate equipment maintenance expenditure, adopts ARMA to establish the model for historical data of corporate equipment maintenance expenditure and makes demand analysis and prediction so as to provide a scientific basis for decision makers in equipment maintenance expenditure prediction, and they can control the overall budget for equipment maintenance. Based on analysis and compassion of actual model calculation results, the paper reaches the conclusion that ARMA model enjoys an advantage over traditional predicting models in corporate equipment maintenance prediction. © 2012 IEEE.

关键词： Forecasting

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Development of the control System and Communication Network for Intelligent SF6 High Voltage Circuit-Breaker

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Procedia Engineering 2012年 29卷 1690-1696页

作者： Qingchang Hao Guodong Yang Degang Yang En Li Zize Liang Dezheng Zhao State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences BeiJing 100190 China

This paper analyses the cause of the major faults of the SF6 high voltage circuit breaker, and then introduces a solution using an embedded control system. The control system consists of the controller for every breaker and a supervisor control system in the control center. Then a double-annular fiber field-bus communication network for the control system is introduced, of which the data link layer is implemented by the CAN controller. According to the operation state of every node and the fiber, the fiber communication module of every node can be configured to several different transmission modes. Due to the influence of temperature, the empirical formula of Beattie-Bridgman is used to calculate the pressure of SF6.

关键词： circuit breaker fiber communication CAN SF6 Beattie-Bridgman

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