This paper investigates the problem of designing a nonlinear state feedback controller for a class of uncertain polynomial discrete-time systems using rational Lyapunov functions. The uncertainty that under considerat...
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Channel errors are usually treated as an obstacle in designing an encrypted wireless system. So we are supposed to reduce them as much as possible due to the potential error bursts contributed by an avalanche effect o...
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IT and tourism is a new innovative combination, the tourist can get the information of the object they want by only get the picture of the object by using their camera in mobile phone, and then the tourist will get th...
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IT and tourism is a new innovative combination, the tourist can get the information of the object they want by only get the picture of the object by using their camera in mobile phone, and then the tourist will get the detail information.
Most papers on particle filtering are developed under the assumption that the distribution form of interfering noise is Gaussian, while the real physical systems would be more accurately modeled using non-Gaussian noi...
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Most papers on particle filtering are developed under the assumption that the distribution form of interfering noise is Gaussian, while the real physical systems would be more accurately modeled using non-Gaussian noises. This paper is examining the performance of particle filter for nonlinear tracking system with Rayleigh-distributed noises. We also investigate how Rayleigh particle filtering tends to give better RMSE than the Gaussian one, but needs longer execution time.
Various algorithms on multi-target multisensor tracking have been developed to provide reliable performance, in terms of tracking accuracy and computational efficiency. Propagating full multi-target posterior of the s...
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Various algorithms on multi-target multisensor tracking have been developed to provide reliable performance, in terms of tracking accuracy and computational efficiency. Propagating full multi-target posterior of the states at every time step of estimation process would certainly not be a suitable option due to its computational costs. To alleviate this problem, Random Finite Sets (RFSs) approach which leads to the implementation of Probability Hypothesis Density (PHD) filter offers more effective method. Based on the theory of Finite Set Statistics (FISST), RFSs represents the multi-target states and multisensor observations as a single meta-state and a single meta-observation, respectively. And the system propagates only the first moment, or PHD, associated with multi-target posterior in every recursion time step. This paper is evaluating the performance of this approach using simulation on a nonlinear range and bearing tracking problem, which is employed to track multi-target using several sensors to get the observations. Simulation results show that the algorithm successfully tracks the targets over the surveillance region, with slightly decreasing performance when the level of noise is higher and the clutter density is denser.
This paper considers anti-windup design for linear systems subject to actuator *** anti-windup gains are designed for activations immediately at the occurrence actuator saturation,after the saturation has reached a ce...
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This paper considers anti-windup design for linear systems subject to actuator *** anti-windup gains are designed for activations immediately at the occurrence actuator saturation,after the saturation has reached a certain level and in anticipation of the occurrence of saturation,*** design is based on the minimization of L 2 gain from the disturbance to the controlled output of the resulting closed-loop *** anti-windup scheme involves a single anti-windup loop for immediate activation.A recent innovation is to design a single anti-windup loop for delayed or anticipatory activation,as well as to design two anti-windup gains,one for immediate activation and one for delayed *** design of three anti-windup gains for three different activations is shown through simulation to lead to significant further performance improvement over the previous activation schemes.
Segmentation of tumors in magnetic resonance images (MRI) is an important task but is quite time consuming when performed manually by experts. Automating this process is challenging due to the high diversity in appear...
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Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented ...
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Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.
The power optimality performance of a piezoelectric energy harvester connected to a resistive load is studied. An analytical solution for the unimorph piezoelectric energy harvester based on the piezoelectric constitu...
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This paper addresses the development of an active fault tolerant control scheme that is applied to a wind turbine simulated benchmark. The proposed methodology is based on a comprehensive scheme relying on adaptive co...
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This paper addresses the development of an active fault tolerant control scheme that is applied to a wind turbine simulated benchmark. The proposed methodology is based on a comprehensive scheme relying on adaptive controllers designed by means of the on–line identification of the system model under diagnosis. In this way, the controller reconfiguration mechanism exploits an adaptive regulator implementation, depending on the on–line estimate of system model. One of the advantages of this strategy is that, for example, the original structure of logic–based switching digital controller scheme already implemented for the wind turbine benchmark can be almost preserved. The active fault tolerant control scheme is therefore applied to a wind turbine simulated benchmark, in the presence of disturbance and measurement errors, along nominal operating conditions, including also different realistic fault situations. The achieved results in both fault–free and faulty conditions serve to show the enhancement of the control performances, and the fault accommodation features.
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