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检索条件"任意字段=Computational Engineering in Systems Applications, CESA, IMACS Multiconference on FLAGGED"

共 265 条记录，以下是241-250 订阅

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Global Sliding Mode Control with Adaptive Fuzzy Chattering Free Method for Nonlinear System

Global Sliding Mode Control with Adaptive Fuzzy Chattering F...

引用

computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： J. K. Liu F. C. Sun School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

A novel fuzzy global sliding mode control (FGSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By designing global sliding mode surface, the proposed scheme eliminates reaching phase problem so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach

关键词： Sliding mode control Programmable control Adaptive control Fuzzy control Fuzzy systems Nonlinear systems Uncertain systems Switches Linearization techniques Fuzzy logic

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Research of Emotional Agent in Virtual Environment

Research of Emotional Agent in Virtual Environment

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Jianguo Liu Yansheng Lu Institute of Computer Huazhong University of Science and Technology Wuhan Hubei China

This paper proposes an emotional model of virtual human in virtual environment. This model extends the sensor of traditional agent. Since the base of rational decision is perceptive and the jumping-off point of sensibility is impressibility which is the headspring of emotion, so emotional agent adds impressibility in it. Impressibility is agent's emotional representation of the states of environment and itself based the inside impression model. This paper provides the agent's impression representation method in virtual environment, considers that emotional model is a function reflected from states set to impression set, extents the traditional agent's BDI model based the emotional model, then constructs an emotional agent, compares this agent with traditional agent, points out that because the emotional agent has an independent emotional model it has the ability of creating, editing and updating the intention or goal of agent, so the emotional agent has more autonomous. This paper introduces the architecture and theory of the emotional model, explains the relative concept and definition, discusses the realize technology of this model, finally indicates the lack of current research and the direction of future research

关键词： Virtual environment Humans Application software computational modeling Computer interfaces systems engineering and theory Paper technology Electronic mail Reflection Virtual reality

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Intermodal transportation system management : towards integration of traffic management system and users information system.

Intermodal transportation system management : towards integr...

引用

computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： H. Ezzedine T. Bonte C. Kolski C. Tahon Laboratoire d'Automatique Mecaniqueet Informatique industrielleset Humaines LAMIH-UMR CNRS University of Valenciennes France

Urban transportation systems are complex in nature as they involve many interacting agents behaving in myriad ways that are extremely difficult to predict. The development of intermodal passenger transportation solutions to address the mobility issues facing society constitutes a major thrust area of urban transport policies. But intermodal transportation system management (ITSM), to offer citizens comprehensive seamless mobility, requires the integration of different modules to help the operator, responsible for the regulation. Two major components of an ITSM are the traffic regulation support system for the coordination of timetables, synchronising arrival and departure times between modes, and the users information system, giving customers access to information and using a comprehensive set of information tools. In this paper, a generic model of a transport management system, integrating these two modules is proposed. This generic model is then used for designing a traffic regulation system in the case of a bimodal transportation system (tram-bus). The traffic regulation support system, based on the decision model of an operator, and the customers information system are described

关键词： Transportation Management information systems Traffic control Cities and towns systems engineering and theory Frequency synchronization Information management Decision support systems Employment Productivity

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Actuator Nonlinearities Compensation Using RBF Neural Networks in Robot Control System

Actuator Nonlinearities Compensation Using RBF Neural Networ...

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Yu Lu J. K. Liu F. C. Sun Beijing Aeronautics and Astronautics University Beijing China State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

In this paper, a compensation scheme is presented for general actuator nonlinearities. The compensator uses two neural networks, one to estimate the unknown actuator nonlinearities and another to provide adaptive compensation in the feedforward path. Since radial basis function network has the universal approximation property and can avoid the local minima problem, the compensator uses RBF neural networks to estimate the actuator nonlinearities and eliminate their effects. GL matrix and operator are introduced to help prove the stability of the system. Rigorous proofs of closed-loop stability for the compensator are provided and yield turning algorithms for the weights of the RBF neural networks. The whole scheme provides a general procedure for using RBF neural networks to compensate the actuator nonlinearities in robot control system. Simulation results verify the effectiveness of the designed scheme and the theoretical discussion.

关键词： Neural networks Robot control Radial basis function networks Adaptive control Manipulators Stability systems engineering and theory Feedforward neural networks Intelligent actuators Multi-layer neural network

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Research on RBF-PID Control for the 6-DOF Motion Base in Construction Tele-robot System

Research on RBF-PID Control for the 6-DOF Motion Base in Con...

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Shizhu Feng Ming Xu Dingxuan Zhao Hongyan Zhang Xingxing Tang Guang Weng College of mechanical science and engineering Jilin University Changchun China National Key Laboratory of Vehicle Transmission China Northern Vehicle Research Institute Beijing China

In this paper, according to the real experiment device, we deduced the model of the electro-hydraulic servo valve and the dissymmetric hydraulic cylinder, a new RBF-PID controller was developed based on it to form a closed-loop system for the 6-DOF motion base in a tele-robotic system. To verify the validity of the design, a simulation is done. The simulation results show that RBF neural network is effective for electro hydraulic servo control systems. To control the 6-DOF realistic motions according to the signals of six acceleration sensors on the construction tele-robot, an experiment is also done. The validity of the control system was confirmed by experiment result. The control system performs steadily. And the experimental result indicates that the RBF neural network can enhances the robust control, which has reality significance.

关键词： Motion control Control systems Robot sensing systems Servomechanisms Neural networks Three-term control Force sensors systems engineering and theory Vehicles Engine cylinders

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Detecting modes in fed-batch fermented process. Application to Escherichia Coli Cultivation

Detecting modes in fed-batch fermented process. Application ...

引用

computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： S. Semcheddine A. Aitouche J.P. Cassar Department of Electronic Engineering Faculty of engineering University Ferhat Abbas of Setif Algeria LAGIS UMR CNRS Lille France LAGIS UMR CNRS Villeneuve d'Ascq France

This paper presents a strategy based on residual generation to detect acetate formation during a culture of Escherichia coli as producer of recombinant proteins. Indeed protein productivity is both affected by acetate concentration that inhibits cell growth and by acetate production that reduces protein production. Formation of acetate occurs when the specific glucose uptake exceeds a critical value. This situation must consequently be avoided. The proposed approach deeply uses a model that gathers the knowledge about the process. It aims to study the possibility to identify the current biological behaviour from this model and from a reduced instrumentation. Depending on the instrumentation, specialized residuals are generated for the different biological modes. These residuals, calculated from the available measurement, have to be close to zero when the mode they have been design for is active. According to the residuals that trigger a deviation from zero test, it is then possible to recognize the current mode and, that way, to determine the strain biological activity

关键词： Biological system modeling Production Proteins Instruments Biochemistry systems engineering and theory Electronic mail Testing Capacitive sensors Monitoring

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Hybrid Model of WT and ANFIS and Its Application on Time Series Prediction of Ship Roll Motion

Hybrid Model of WT and ANFIS and Its Application on Time Ser...

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Hui Li Chen Guo Simon X. Yang Hongzhang Jin Automation and Electrical Engineering College Dalian Maritime University Dalian China Advanced Robotics and Intelligent Systems Laboratory School of Engineering University of Guelph Canada Automation College Harbin Engineering of Technology Harbin China

Based on the multi time and frequency scale and the nonlinear character of ship roll motion, a hybrid model prediction approach combining wavelet transform (WT) and adaptive neuro-fuzzy inference system (ANFIS) is proposed in this paper. By using multi-resolution nalysis (MRA) of WT, multilevel 1-D wavelet decompositions of roll motion are completed to obtain simple and regular period signals. Then the multiple-input/single-output (MISO) ANFIS model is employed as prediction model for the main decomposed signals above. Finally, a prediction result is given through linear combination. The simulation experiments demonstrate the proposed method can effectively reduce the prediction difficulty and obtain better prediction precision. This method can also be used in ship pitch and heave motion prediction

关键词： Predictive models Marine vehicles Wavelet analysis Wavelet transforms Multiresolution analysis Wavelet domain Robotics and automation Educational institutions Intelligent robots Frequency

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System Identification of UAV Based on EWC-LMS

System Identification of UAV Based on EWC-LMS

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Zijing Zhou Jinchun Hu Shiqian Liu Badong Chen Department of Computer Science and Technology Tsinghua University Beijing China

Mean-squared error (MES) can at best provide biased solution in the presence of additive disturbances (both correlated and white) on the input and the output signals. However, in the system identification of unmanned aerial vehicle (UAV), typically, in the takeoff, the UAV suffers serious disturbance e.g. wind gusts, turbulence, ground influence and sampling noise. For EWC, we can get the unbiased parameter estimation in white noise, and the system identification in this paper prove the noise rejection ability of EWC. EWC (error whitening criterion) was first put forward by Mr. Rao in 2002 and applied in filtering, and further developed theoretically. But EWC has not been applied in practical problems yet. This paper applies EWC in the system identification of real self-developed UAV's takeoff motion, and compares the result of EWC-LMS with traditional LMS (least mean square) and TLS (total least square). The result shows that in comparison with traditional LMS and TLS, EWC-LMS improve the performance significantly

关键词： System identification Unmanned aerial vehicles Least squares approximation Parameter estimation White noise systems engineering and theory Testing Application software Computer science Computer errors

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A New Congestion Control Model Based on Fuzzy Neural Networks

A New Congestion Control Model Based on Fuzzy Neural Network...

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Lixiang-Liu Junsuo-Zhao Wenjun-Zhang Fanjiang-Xu Institute of Software Chinese Academy and Sciences Beijing China

In this paper, a new congestion control model based on fuzzy neural networks (FNNs) is proposed for P2P network, which considers the practical status of data buffer and P2P traffic. The proposed model divides buffer into two queues which store P2P data packets and non-P2P data packets respectively. It predicts and evaluates conditions of buffer queues through FNN, and directs space allocation of each queue through constructing an evaluation function. Thus, this model is able to control congestion condition of each queue and resize allocation of queues in the buffer automatically, and then it can avoid lock-out of the buffer by dropping packets actively before the buffer is overflow. Simulation results show the model is good both ensuring equitable network resource allocation and decreasing the delay of packet queuing and the dropping ratio, thus improving the ability of routers in dealing with network congestion

关键词： Fuzzy neural networks Fuzzy control Traffic control Communication system traffic control Tail Bandwidth Computer networks systems engineering and theory Application software High-speed networks

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Genetic Algorithm Based Idle Length Prediction Scheme for Dynamic Power Management

Genetic Algorithm Based Idle Length Prediction Scheme for Dy...

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computational engineering in systems applications, cesa, imacs multiconference on flagged

作者： Fei Kong Pin Tao ShiQiang Yang XiaoLi Zhao Department of Computer Science and Technology Tsinghua University Beijing China

Reducing energy consumption has become one of the most important challenges in designing computing systems. Dynamic power management policies exploit components' idle periods to save energy. If one idle period of some component is long enough, the component can be put into low power state during this period in order to reduce energy consumption. Many dynamic power management policies are based on predicting lengths of components' future idle periods. The more accurate the prediction is, the more efficient the policy is. This paper proposes a novel idea of using genetic algorithm to predict lengths of future idle periods. We take K adjacent idle periods and active periods as a load-gene and define some kinds of relationships between adjacent load-genes, then use genetic algorithm to predict future load-genes that most accords with the relationships. Experimental results show that the proposed scheme is more efficient than the exponential-average approach

关键词： Genetic algorithms Energy management Power system management Energy consumption Costs Computer interfaces High performance computing Batteries Power engineering computing Power engineering and energy

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