Active yaw stabilization for passenger vehicles, following driver yaw rate commands with steer-by-wire and rear break force distribution, is discussed. The problem is solved via a decomposition of the vehicle equation...
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The paper presents a joint state and unmeasured input estimation technique for a special class of nonlinear second order macroscopic traffic model. The freeway traffic system is transformed into a quasi and affine app...
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This paper presents a new practical backup power supply connection scheme for Distribution Line Non-Communication Protection (DNCP). Simulation tests have been conducted using the Alternate Transient Program (ATP) wit...
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In wireless sensor networks, virtual backbone has been proposed as the routing infrastructure to alleviate the broadcasting storm problem and perform some other tasks such as area monitoring. Previous work in this are...
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In wireless sensor networks, virtual backbone has been proposed as the routing infrastructure to alleviate the broadcasting storm problem and perform some other tasks such as area monitoring. Previous work in this area has mainly focused on how to construct a small virtual backbone for high efficiency, which is modeled as the minimum Connected Dominating Set (MCDS) problem. However, the nodes in the CDS need to carry other nodes' traffic and they are subject to failure. Therefore, it is desirable to construct a fault tolerant CDS. In this paper, we first propose a distributed algorithm to construct a connected dominating set (DACDS). Based on DACDS, we further develop a fault tolerant algorithm (kCDS). We also show our algorithm have better performance ratios and low message complexity.
Application of Non-thermal plasma for gas cleaning is gaining prominence in recent years, which can effectively remove NOx and other exhaust gases simultaneously. As the present researches are mostly adopting simulati...
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Application of Non-thermal plasma for gas cleaning is gaining prominence in recent years, which can effectively remove NOx and other exhaust gases simultaneously. As the present researches are mostly adopting simulation gas for the investigation, this paper employed the NOx from the actual diesel exhaust as the investigated subject. Effects of the amplitude and frequency of voltage, the diameter of high-voltage electrode, the reactor volume and the discharge gap on NOx removal were studied based on dielectric barrier discharge. Obtained results indicate that, the removal rate of NOx increased first and then decreased with increasing the magnitude and frequency of the voltage. With decreasing discharge gap, the removal rate of NOx increased. With increasing the volume of reactor and the diameter of high-voltage electrode, the removal rate of NOx increased.
This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in the Takagi-Sugeno forms with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sli...
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Home automationsystems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the loc...
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ISBN:
(纸本)9781617825583
Home automationsystems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.
This paper proposes a simulator-based foresight control approach for nonlinear plant based on system identification. In the proposed method, as a main part of the simulator-based foresight controlsystem, a simulator ...
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This paper proposes a simulator-based foresight control approach for nonlinear plant based on system identification. In the proposed method, as a main part of the simulator-based foresight controlsystem, a simulator of an exact plant model of non-affine nonlinear plant is first constructed. If relative degree of disturbance is smaller than control input, servo type filter will be then installed in series of disturbance line in order to adjust relative degree. Next, a control target equation which defines pole assignment for stable output error convergence is determined. Based on this control target equation, the control input for non-affine type nonlinear plant is generated. In this paper, the control of a boiler was implemented by use of the proposed method. The simulation results verified the effectiveness of the proposed method.
This paper proposes an adaptive observer for discrete MIMO systems with unknown dynamics and *** case that the system output equation has time-delay and nonlinearities is also *** delayed states in the system are with...
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This paper proposes an adaptive observer for discrete MIMO systems with unknown dynamics and *** case that the system output equation has time-delay and nonlinearities is also *** delayed states in the system are with a nonlinear form and only the estimated delay is *** using a high-order neural network(HONN),the precise system model,and the Lipschitz or norm-boundedness assumption of unknown nonlinearities are not required.A novel converse Lyapunov Lemma is also developed to prove the uniform ultimate boundedness(UUB) of the proposed *** of the presented scheme is verified by simulation.
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