An adaptive failure compensation scheme using output feedback for a class of nonlinear systems,capable of guaranteeing prescribed performance bounds(PPB) is proposed in this *** adaptive high-gain K-filters is present...
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An adaptive failure compensation scheme using output feedback for a class of nonlinear systems,capable of guaranteeing prescribed performance bounds(PPB) is proposed in this *** adaptive high-gain K-filters is presented to suppress the nonlinearities while the proposed PPB controller guarantees the stability of the closed-loop system and small tracking errors,which should converge to an arbitrarily predefined small residual set,with convergence rate no less than a prespecified value and a maximum overshoot less than a sufficiently small prespecified *** studies clarify and verify the scheme.
Cyber-physical systems (CPS) is a system of systems which consists of many subsystems that can stand alone in an individual manner and can be taken as a typical complex network. CPS can be applied in the critical infr...
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In this paper, we consider beamformer design of access and backhaul links in downlink cloud-RANs. An optimization problem is formulated with the objective of maximizing the weighted sum rate (WSR) under the constraint...
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ISBN:
(纸本)9781509028610
In this paper, we consider beamformer design of access and backhaul links in downlink cloud-RANs. An optimization problem is formulated with the objective of maximizing the weighted sum rate (WSR) under the constraints of power consumption, backhaul rate, as well as user grouping, which assumes each user is served by only one SBS to reduce the traffic load over the backhaul links. To solve this intractable problem, reweighted ℓ 1 -norm, successive convex approximation and WMMSE-based formulation methods are introduced to transform it into a tractable form. An iterative algorithm based on block coordinate update (BCU) scheme is designed to solve the approximate problem. Finally, simulation results verify the effectiveness of the proposed algorithm.
This study proposes a motion cue based pedestrian detection method with two-trame-filtering （Tff） for video surveillance. The novel motion cue is exploited by the gray value variation between two frames. Then Tff pr...
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This study proposes a motion cue based pedestrian detection method with two-trame-filtering （Tff） for video surveillance. The novel motion cue is exploited by the gray value variation between two frames. Then Tff processing filters the gradient magnitude image by the variation map. Summa- tions of the Tff gradient magnitudes in cells are applied to train a pre-deteetor to exclude most of the background regions. Histogram of Tff oriented gradient （HTffOG） feature is proposed for pedestrian detection. Experimental results show that this method is effective and suitable for real-time surveil- lance applications.
Secondary Users (SUs) have capability to sense available licensed spectrum in Cognitive Radio Networks (CRNs). Hence, SUs can opportunistically access to the licensed spectrum without disturbing Primary Users (PUs). I...
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ISBN:
(纸本)9781509003044
Secondary Users (SUs) have capability to sense available licensed spectrum in Cognitive Radio Networks (CRNs). Hence, SUs can opportunistically access to the licensed spectrum without disturbing Primary Users (PUs). In this paper, a novel network architecture is proposed to reduce the production cost and the energy consumption for CRNs. The proposed network architecture is based on the spectral requirement of Secondary Users (SUs). In the proposed network architecture, only parts of SUs are equipped with Cognitive Radio (CR) module. In addition, a minimum number of SUs are selected to sense available licensed spectrum, which aims at reducing the energy consumption further. The minimum number of SUs selection problem is formulated as a non-linear programming problem under the constrains of energy efficiency and the real-time available spectrum information. However, the non-linear programming problem is a NP-hard problem. Hence, a distributed heuristic algorithm is proposed to calculate the near-optimal solution. The simulation results demonstrate that the proposed heuristic algorithm in the proposed network architecture outperforms the random algorithm in the proposed network architecture and traditional Cognitive Radio Ad Hoc Networks (CRAHNs) in energy efficiency.
—Inspired by the recent advances of image super-resolution using convolutional neural network (CNN), we propose a CNN-based block up-sampling scheme for intra frame coding. A block can be down-sampled before being co...
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Traditional saliency detection models face great challenges towards low contrast images with low signal-to-noise ratio property. In this circumstance, it is difficult to extract effective visual features to describe s...
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This paper firstly proposed a universal track initiation method with adaptive threshold. Using this method, performance under heavy clutter tracking environment is improved. Besides, joint probabilistic data associati...
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This paper firstly proposed a universal track initiation method with adaptive threshold. Using this method, performance under heavy clutter tracking environment is improved. Besides, joint probabilistic data association filter is the common data association method, which only deal with the fixed-numbered multi-target tracking problem. Introducing the data pre-association process, an improved JPDAF algorithm is proposed to accomplish variable-numbered multi-target tracking, which is validated by simulation results.
Users’ download history is a primary data source for analyzing user interests. Recent work has shown that user interests are indeed time varying, and accurate profiling of user interest drifts requires the temporal d...
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作者：
Fu, MaixiaZhang, YanDepartment of Physics
Capital Normal University Beijing Key Lab for Metamaterials and Devices Key Lab of Terahertz Optoelectronics Ministry of Education Beijing100048 China College of Information Science and Engineering
Henan University of Technology Key Laboratory of Grain Information Processing and Control Ministry of Education Zhengzhou Henan450001 China
An efficient terahertz amplitude modulator consisting of a single layer graphene on silicon substrate is investigated with an external contiounus-wave laser. The proposed work gives promising applications in high-perf...
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