Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-fr...
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Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-free map-matching algorithm with a probabilistic model as well as an efficient approximate inference *** that algorithm is computationally efficient,it still puts high demands on the computation and driving *** paper adopts the model and presents an extended probabilistic self-localization algorithm using hybrid maps which include terrain maps and road network *** show that the extended probabilistic algorithm enhances the real-time performance and relaxes the requirement of the shape of the *** proposed vehicle self-localization algorithm meets positioning requirements of ITS and it can provide references for actual use of map-matching algorithm in ITS.
Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly ***...
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Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly *** meet these challenges,the UC model considering energy saving and emission reduction is proposed in this *** using real-number coding method,swap-window and hill-climbing operators,an improved real-coded genetic algorithm(IRGA)solution for UC is presented,which shows an improvement in effectiveness and computational time compared with other algorithms approach to the proposed UC problem.
This system present a feasibility of computer-aided diagnosis, planning and simulation for orthodontic treatment. In the Visualization Toolkit (VTK) and Microsoft Foundation Classes (MFC) integrated environment, a fle...
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This system present a feasibility of computer-aided diagnosis, planning and simulation for orthodontic treatment. In the Visualization Toolkit (VTK) and Microsoft Foundation Classes (MFC) integrated environment, a flexible, friendly and functional interface for orthodontic treatment was designed. The methods of how to integrate VTK and MFC in different system are described, and the three-dimensional model of the dentition is reconstructed by using marching-cubes (MC) algorithms. Finally, the three-dimensional model for rendering and interaction is also introduced.
Precise identification of parameters governing quantum processes is a critical task for quantum information and communication technologies. In this Letter, we consider a setting where system evolution is determined by...
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Precise identification of parameters governing quantum processes is a critical task for quantum information and communication technologies. In this Letter, we consider a setting where system evolution is determined by a parametrized Hamiltonian, and the task is to estimate these parameters from temporal records of a restricted set of system observables (time traces). Based on the notion of system realization from linear systems theory, we develop a constructive algorithm that provides estimates of the unknown parameters directly from these time traces. We illustrate the algorithm and its robustness to measurement noise by applying it to a one-dimensional spin chain model with variable couplings.
In this paper, we try to deal with the problem of shadow detection from static images and video sequences. In instead to considering individual regions separately, we use relative illumination conditions between segme...
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This paper investigates the problem of joint design of a receding horizon control and the medium access scheduling for quantized controlsystems over limited bandwidth networks, in which only a limited number of actua...
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ISBN:
(纸本)9781467360890
This paper investigates the problem of joint design of a receding horizon control and the medium access scheduling for quantized controlsystems over limited bandwidth networks, in which only a limited number of actuators are allowed to communicate with the controller at each time instant. By introducing a communication scheduling matrix to describe the medium access status and considering the influence of quantizers, we can model the controlsystem as a switched model with structured norm-bounded uncertainties. The stabilizing channels with guaranteed stability are chosen first. Based on the stabilizing channels, a receding horizon control strategy with optimal dynamic resource allocation is proposed by minimizing the upper bound on a finite-horizon quadratic performance index. Simulation results show the effectiveness of the developed method finally.
This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a gen...
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This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a general linear system subject to simultaneous actuator position and rate saturation. We construct a low gain based linear state feedback control law for each follower agent and show that semi-global leader-following consensus can be achieved by using these control laws when the communication topology among follower agents is a connected undirected graph and the leader is a neighbor of at least one follower. Simulation results illustrate the theoretical results.
E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver d...
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E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver data to a network coordinator for further processing. One of the major issues of such systems is energy efficiency, owing to the limited power supply and difficult replacement of batteries in some implanted sensors. Hence, developing an energy-efficient scheduling policy to prolong sensors' lifetime brings great significance to a WBAN. In this paper, we investigate the problem with Lyapunov optimization technique and propose a dynamic scheduling policy including sleep scheduling and opportunistic transmission, which takes into account time-varying channel condition. We demonstrate that our policy can push the energy consumption arbitrarily close to the global minimum solution while sustaining the network stability.
This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the ...
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ISBN:
(纸本)9781479947249
This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the remaining regions, there is a unique input that saturates everywhere with the time-derivative of its saturated signal being zero. These special properties of the inputs in different regions of the input space are combined with an existing piecewise quadratic Lyapunov functions that contains the information of input saturation to arrive at a set of less conservative stability conditions, from which a larger level set of the piecewise quadratic Lyapunov function can be obtained as an estimate of the domain of *** results indicate that the proposed approach has the ability to obtain a significantly larger estimate of the domain of attraction than the existing methods.
Since the energy constraint is a fundamental issue for wireless sensor networks(WSNs),the expectation of network lifetime has become a critical performance *** actual applications,due to the data traffics may fluctuat...
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Since the energy constraint is a fundamental issue for wireless sensor networks(WSNs),the expectation of network lifetime has become a critical performance *** actual applications,due to the data traffics may fluctuate randomly,there is a compelling need for a routing strategy that is robust to the variation amplitude of time varied data *** this paper,we jointly consider the lifetime maximization and a routing strategy with robustness,both of which are in compliance with the framework of cross-layer *** two correlated subproblems can be further modeled as a nonlinear optimization *** using the risk measures defined in the financial mathematics,the proposed optimization problem can be relaxed while the non-convex constraint can be transformed into a solvable *** Simulation results are further provided to validate our robust routing proposal.
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