The Experts below are selected from a list of 19287 Experts worldwide ranked by ideXlab platform
Samuel Bowong - One of the best experts on this subject based on the ideXlab platform.
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Chaos synchronization and Duration Time of a class of uncertain chaotic systems
Mathematics and Computers in Simulation, 2006Co-Authors: Samuel Bowong, Moukam Kakmeni, Rodoumta KoinaAbstract:This paper addresses the problem of chaos synchronization from a control theoretic point of view. The main idea is to construct an augmented dynamical system from the synchronization error system, which is itself uncertain. A new dynamic output feedback is applied to perform synchronization in spite of master/slave mismatches. In this way, the nonidentical chaotic synchronization can be attained. The advantage of this method over the existing results is that the feedback controller has a predictable synchronization delay. The synchronization Time is explicitly computed. Computer simulations are provided to verify the operation of the designed synchronization algorithm.
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Chaos control and Duration Time of a class of uncertain chaotic systems
Physics Letters A, 2003Co-Authors: Samuel Bowong, F.m. Moukam KakmeniAbstract:This Letter presents a robust control scheme for a class of uncertain chaotic systems in the canonical form, with unknown nonlinearities. To cope with the uncertainties, we combine Lyapunov methodology with observer design. The proposed strategy comprises an exponential linearizing feedback and an uncertainty estimator. The developed control scheme allows chaos suppression. The advantage of this method over the existing results is that the control Time is explicitly computed. Simulations studies are conducted to verify the effectiveness of the scheme.
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Stability and Duration Time of Chaos Synchronization of a Class of Nonidentical Oscillators
Physica Scripta, 2003Co-Authors: Samuel Bowong, F.m. Moukam KakmeniAbstract:In this paper, we consider the problem of stability and Duration of the synchronization of two nonidentical chaotic oscillators. Despite modeling errors and parametric variation, we use the Lyapunov stability theory to derive a robust controller that comprises an uncertainty estimator and a linearizing control law. The expression of the synchronization Time is explicitly computed. Numerical simulation results are shown to demonstrate the effectiveness and efficiency of the proposed method.
Yao Xiao - One of the best experts on this subject based on the ideXlab platform.
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Study on the Influence of Driving Distraction on Traffic Flow considering the Stochastic Duration Time of Distraction
2020Co-Authors: Yao XiaoAbstract:Driving distraction, which becomes more and more common in driving and lasts for stochastic Duration Time, has not been seriously considered in traffic flow model. This paper studied the distribution of distraction Duration Time and the influence of distraction on traffic flow characteristics. The relationship among distraction Duration Time, probability of distraction occurrence and proportion of distraction is established by stochastic model. Then a modified optimal velocity model was proposed to simulate a two-lane road, taking the effect of distraction behavior into account. The results suggest that distraction behavior has significant negative influence on traffic flow rate and increases the lane changing frequency. Short-Time distraction seems to have smaller impact on traffic flow than long-Time distraction. This model simulates the distraction behavior very well and distracted drivers have lower mean speed, lower lane changing frequency, longer headway and are overtaken by more vehicles in simulation. This study provided a good model to analyze distraction behavior in traffic flow and pointed out an important factor affecting the traffic flow efficiency.
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Study on the influence of driving distraction on traffic flow considering the stochastic Duration Time of distraction
Modern Physics Letters B, 2016Co-Authors: Yao XiaoAbstract:This paper aims to study the traffic flow characteristics considering drivers’ distraction behavior, which is common and lasts for stochastic Duration Time. The distribution of distraction Duration Time and the influence of distraction on traffic flow are analyzed. The relationship among distraction Duration Time, probability of distraction occurrence and proportion of distraction is established by stochastic model. Then a modified optimal velocity model was proposed to simulate a two-lane road, taking the effect of distraction behavior into account. A survey was conducted to collect maximum speed, average speed, lane change frequency and headway of vehicle when distracted. The results suggest that distraction behavior has significant negative influence on traffic flow rate and increases the lane changing frequency. Short-Time distraction seems to have smaller impact on traffic flow than long-Time distraction. This model simulates the distraction behavior very well and distracted drivers have lower mean speed, lower lane changing frequency, longer headway and are overtaken by more vehicles in simulation. This study provided a good model to analyze distraction behavior in traffic flow and pointed out an important factor affecting the traffic flow efficiency.
Qixin Chen - One of the best experts on this subject based on the ideXlab platform.
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ISGT Europe - A new transmission cost allocation method considering power flow Duration Time in Smart Grid
2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012Co-Authors: Qixin ChenAbstract:The efficiency of asset utilization is one of the core contents of Smart Grid. This paper proposes the line Power Flow Duration Curve (PFDC) as a tool in the process of transmission cost allocation. The impact of the power flow Duration Time on the transmission asset utilization can be taken into account effectively. An implementation mechanism is designed. The case studies based on the IEEE 30-bus and 118-bus system demonstrate that the transmission cost can be allocated much more reasonably by the proposed method.
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A new transmission cost allocation method considering power flow Duration Time in Smart Grid
2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012Co-Authors: Qixin ChenAbstract:The efficiency of asset utilization is one of the core contents of Smart Grid. This paper proposes the line Power Flow Duration Curve (PFDC) as a tool in the process of transmission cost allocation. The impact of the power flow Duration Time on the transmission asset utilization can be taken into account effectively. An implementation mechanism is designed. The case studies based on the IEEE 30-bus and 118-bus system demonstrate that the transmission cost can be allocated much more reasonably by the proposed method.
Zhang Lu - One of the best experts on this subject based on the ideXlab platform.
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Distribution Characteristics of Traffic Congestion Duration Time for Urban Expressway
Journal of Wuhan University of Technology, 2020Co-Authors: Zhang LuAbstract:Based on the historical traffic data of the west-side North-South Viaduct in Shanghai,this paper introduces survival analysis into the analysis of traffic congestion mechnism,and a hazard-based traffic congestion Duration Time model is presentd.This model analyzes the Time attributes of many traffic congestion samples,and employs nonparametric regression-based Kaplan-Meyer model to estimate traffic congestion Duration Time.Then,the key influence factors of traffic congestion are divided into five types including weekdays,peak Time,data year,location and weather,and the spatial-temporal distribution characteristics of traffic congestion Duration Time is analyzed.Analsis results has shown that the 70% of traffic congestion Durations on road segments of west-side North-South Viaduct are no longer than an hour,and there exists significant difference of distribution characteristics under different influence factors.
F.m. Moukam Kakmeni - One of the best experts on this subject based on the ideXlab platform.
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Chaos control and Duration Time of a class of uncertain chaotic systems
Physics Letters A, 2003Co-Authors: Samuel Bowong, F.m. Moukam KakmeniAbstract:This Letter presents a robust control scheme for a class of uncertain chaotic systems in the canonical form, with unknown nonlinearities. To cope with the uncertainties, we combine Lyapunov methodology with observer design. The proposed strategy comprises an exponential linearizing feedback and an uncertainty estimator. The developed control scheme allows chaos suppression. The advantage of this method over the existing results is that the control Time is explicitly computed. Simulations studies are conducted to verify the effectiveness of the scheme.
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Stability and Duration Time of Chaos Synchronization of a Class of Nonidentical Oscillators
Physica Scripta, 2003Co-Authors: Samuel Bowong, F.m. Moukam KakmeniAbstract:In this paper, we consider the problem of stability and Duration of the synchronization of two nonidentical chaotic oscillators. Despite modeling errors and parametric variation, we use the Lyapunov stability theory to derive a robust controller that comprises an uncertainty estimator and a linearizing control law. The expression of the synchronization Time is explicitly computed. Numerical simulation results are shown to demonstrate the effectiveness and efficiency of the proposed method.
