Zheng M.,Shanghai University |
Zheng M.,Shanghai Key Laboratory of Power Station Automation Technology |
Fei M.,Shanghai University |
Li Y.,Shanghai University
Neurocomputing | Year: 2012
This paper is concerned with the stability problem of uncertain delayed neural networks. The system possesses time-varying and norm-bounded uncertainties. An improved integral inequality lemma is proposed to handle the cross-product terms occurred in the derivative of Lyapunov functional. By using the new lemma and a novel delay decomposition approach, new robust stability criteria for time varying delay neural networks with structured linear fractional form uncertainties are proposed in terms of LMIs. The sufficient conditions obtained in this paper are less conservative than those in the former literature. © 2012 Elsevier B.V.
Chao Y.K.,Shanghai University |
Zhou Y.F.,Shanghai University |
Xu Y.L.,Shanghai University |
Xu Y.L.,Shanghai Key Laboratory of Power Station Automation Technology
2013 25th Chinese Control and Decision Conference, CCDC 2013 | Year: 2013
In order to make mobile robot adapt to more intricate work environment, complete more complicated operation through the mechanical arm. This paper presents a robotic control system based on master-slave remote operation of mechanical arm. Firstly, to realize synchronization of the master-slave mechanical arm, controlling the slave mechanical arm to finish the same action by operating the master mechanical. Robot captures the video, temperature and location information of work site and transmits to the monitoring center through the wireless network. In order to improve the real-time performance of the system, this paper adopts open-source library Xvidcore to code, decode and puts forward the novel motion estimation algorithm ARPS to optimize the library. The robot control system has been verified in the actual environment. © 2013 IEEE.
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.
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.
Yang S.,Shanghai University |
Yang S.,Shanghai Key Laboratory of Power Station Automation Technology |
Jinxia X.,Shanghai University |
Minrui F.,Shanghai University |
And 2 more authors.
Transactions of the Institute of Measurement and Control | Year: 2013
This paper considers the mean square stabilization for a kind of network control system (NCS) in which there exist network-induced delay and stochastic packet dropout between sensor and controller. This kind of NCS is modelled as a Markovian switched system with two subsystems. Using the average dwell time method, we design a state feedback controller to guarantee that NCS be mean square exponentially stable. An illustrative example is provided to demonstrate the effectiveness of the proposed results. © The Author(s) 2011.
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.
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.
Chen W.,Shanghai University |
Su J.,Shanghai Key Laboratory of Power Station Automation Technology
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | Year: 2012
Communication is one of the most important steps in constructing a robotic system. Such a system has been built based on NI LabVIEW and compactRIO. In this paper, several methods of communication between host computer and compactRIO were introduced. By comparison in the experiment, we found that each method has their unique benefits and drawbacks. The method of shared variables is the most convenient; the method of TCP/IP is the most reliable; the method of UDP has the highest performance. When a system is set up, the most suitable method of them should be selected according to the user's requirement. © 2012 IEEE.
Li M.,Shanghai University |
Zou B.,Shanghai University |
Zou B.,Shanghai Key Laboratory of Power Station Automation Technology
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2015
Under the constraints of power battery charging/discharging capacity and customer travel needs, an electric vehicle charging/discharging model is proposed to maximize electric vehicle economic benefits. The vehicle travel behavior data used are derived from the 2009 national household travel survey (NHTS). The Monte Carlo simulation method is utilized to generate the trip needs of customers based on the actual customers' travel rule. The economic benefits and load distribution of electric vehicle charging/discharging are simulated and analyzed. The results show that the proposed model is able to represent the ability of electric vehicles to respond to the time of use electricity price. Meanwhile, with this model, the influence of real-time electricity price on the distribution of charge/discharge electric quantities and running cost of electric vehicles with vehicle-to-grid (V2G) function are studied. It is shown that real-time electricity pricing needs dynamic adjustment for better charge and discharge distribution, the V2G function should markedly reduce the running cost of electric vehicles, and there exists plenty of room for organizing electric operators in making economic benefits. The effects of electric vehicle battery storages are worth further developing. ©2015 Automation of Electric Power Systems Press
Chen D.,Jiangnan University |
Yang H.,Jiangnan University |
Yang H.,Shanghai Key Laboratory of Power Station Automation Technology
Huagong Xuebao/CIESC Journal | Year: 2011
Using a single model to describe a complex nonlinear object, it usually suffers from low accuracy and poor generalization. A multiple model soft sensor approach is presented based on local reconstruction and fusion manifold clustering. In order to restraining the impacts of outliers to clustering results, the data set is split into several small disjoint sub-clusters. By reconstructing linear manifold level based on every sub-cluster respectively, the sub-clusters which are closer and in the same manifold level are merged. Meanwhile, support vector machine is used to construct regression model in terms of each sub-class and a soft-sensor composed model based on the multiple sub-models is obtained finally. The proposed algorithm is used in a soft sensor modeling for the Bisphenol-A productive process, and the result of simulation shows the effectiveness of the algorithm. © All Rights Reserved.