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Liu T.,Shanghai Key Laboratory of Power Station Automation Technology | Gong A.,Shanghai University | Yao L.,Shanghai University
Advanced Materials Research | Year: 2012

A real-time experimental method for room cooling load calculations is developed in this paper. Experimental based study was also performed during summer months of 2010 in a reference office room in Shanghai. Hourly indoor temperature curves were drawn and the cooling capacity of air conditioner was measured. One energy simulation tool, Designer's Simulation Toolkits (DeST), was used to calculate the basic dynamic temperature and hourly cooling loads. Comparison of results from real-time experimental method and DeST simulation shows that the proposal model can be used in cooling load calculations, with an average 2.5% relative error to DeST results. © (2012) Trans Tech Publications, Switzerland. Source

Chen W.,Shanghai Key Laboratory of Power Station Automation Technology | Chen T.,Shanghai University
Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011 | Year: 2011

Robot soccer is one such task and it provides a unique challenge for multi-robot research. Robot soccer teams consist of a number of robots each performing a different role within the team. The roles discussed in this paper are: goalie, defender, special defender, center, supporter and attacker. These roles are two often statically assigned to the robots at the start of the game. Techniques based on path cost can be used to assign these roles dynamically to allow the team to adopt the optimal behavior for each situation. A strategy can be chosen based on robot and ball location which in turn determines which roles should be used in play. Once the roles are defined, they will be assigned to the best robot for each role in turn based on role importance. The approach has been successfully developed for Strive 3D, our team for the RoboCup 3D-simulation league which changed to 6 VS 6 from 3 VS 3 in 2010. This paper presents the role assignment based on path cost employed and the favorable results obtained. © 2011 IEEE. Source

Song Y.,Shanghai University | Song Y.,Shanghai Key Laboratory of Power Station Automation Technology | Yang Z.,Shanghai University | Yang T.,University of Sussex | Hou W.,Zhengzhou University
Information Sciences | Year: 2016

In most literatures on the consensus of multi-agent systems (MASs), the agents considered are time-invariant. However in many cases, for example in airplane formation, the agents have switching dynamics and the connections between them are also changing. This is called two-level switching in this paper. We study almost sure (AS) consensus for a class of two-level switching systems. At the low level of agent dynamics, switching is deterministic and controllable. The upper level topology switching is random and follows a Markov chain. The transition probability of the Markov chain is not fixed, but varies when low level dynamics changes. For this class of MASs, a sufficient condition for AS consensus is developed in this paper. © 2016 Elsevier Inc. Source

Zou B.,Shanghai University | Zhao Y.,Shanghai Key Laboratory of Power Station Automation Technology | Li X.,East China Grid Company | Yang L.,East China Grid Company
Dianwang Jishu/Power System Technology | Year: 2016

Market mechanism of trans-provincial and trans-regional clean energy consumption and compensation based on generation right trading is studied. Trans-provincial and trans-regional clean energy companies purchase generation right from generating units in consumption provinces to sale their electricity, and price and energy are determined in market. Generation units in consumption provinces are compensated for reducing their generation energy to consume trans-provincial and trans-regional clean energy. An agent based simulation model is constructed to investigate market characteristics. Results show that market equilibrium price is determined according to generation right cost, and fluctuates according to supply-demand relation. It means that market works well. But generation right cost is high, causing low sale price of clean energy generation, and compensation of generation right is complete. The presented market could only be used in case that clean energy generating cost is low, for example, water of a reservoir also would be put off if it is not used to generate electricity. © 2016, Power System Technology Press. All right reserved. Source

Xiang L.,Shanghai University | Xin L.,Shanghai University | Xin L.,State Key Laboratory of Robotics and System | Xin L.,Shanghai Key Laboratory of Power Station Automation Technology
Journal of Computers | Year: 2011

Speech emotion recognition is an important issue in the development of human-computer interactions. In this paper a series of novel robust features for speech emotion recognition is proposed. Those features, which derived from the Hilbert-Huang transform (HHT) and Teager energy operator (TEO), have the characteristics of multi-resolution, self-adaptability and high precision of distinguish ability. In the experiments, seven status of emotion were selected to be recognized and the highest 85% recognition rate was achieved within the classification accuracy of boredom reached up to 100%. The numerical results indicate that the proposed features are robust and the performance of speech emotion recognition is improved substantially. © 2011 ACADEMY PUBLISHER. Source

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