Growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their promise for enhanced safety, efficiency, and economic benefits. While previous surveys have captured progress in this field...
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In this paper we present a hybrid feedback approach to solve the navigation problem of a point mass in the n−dimensional space containing an arbitrary number of ellipsoidal shape obstacles. The proposed hybrid control...
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The wireless visual sensor network(WVSN)as a new emerged intelligent visual system,has been applied in many video monitoring ***,there is still great challenge because of the limited wireless network *** resolve the p...
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The wireless visual sensor network(WVSN)as a new emerged intelligent visual system,has been applied in many video monitoring ***,there is still great challenge because of the limited wireless network *** resolve the problem,we propose a real-time dynamic texture approach which can detect and reduce the temporal redundancy during many successive image ***,an adaptively learning background model is improved to discover successive similar image frames from the inputting video ***,the dynamic texture model based on the singular value decomposition is adopted to distinguish foreground and background element ***,a background discarding strategy based on visual motion coherence is proposed to determine whether each image frame is streamed or *** evaluate the trade-off performance of the proposed method,it is tested on the CDW-2014 dataset,which can accurately detect the first foreground frame when the moving objects of interest appear in the field of view in the most tested dynamic scenes,and the misdetection rate of the undetected foreground frames is near to *** to the original stream,it can reduce the occupied bandwidth a lot and its computational cost is relatively lower than the state-of-the-art methods.
The reduction of greenhouse gas emissions due to anthropogenic causes is one of the world's main challenges to face climate change. Wastewater treatment plants are necessary to improve the quality of wastewater be...
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One of the intensely studied concepts of network robustness is r-robustness, which is a network topology property quantified by an integer r. It is required by mean subsequence reduced (MSR) algorithms and their varia...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
One of the intensely studied concepts of network robustness is r-robustness, which is a network topology property quantified by an integer r. It is required by mean subsequence reduced (MSR) algorithms and their variants to achieve resilient consensus. However, determining r-robustness is intractable for large networks. In this paper, we propose a sample-based algorithm to approximately test r-robustness of a digraph with n vertices and m edges. For a digraph with a moderate assumption on the minimum in-degree, and an error parameter 0
The paper considers continuous-time networked susceptible-infected-susceptible (SIS) diseases spreading over a population. Each agent represents a sub-population and has its own healing rate and infection rate;the sta...
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In this work, we propose a distributed no-regret learning for stochastic aggregative games over time-varying *** consider a finite set of players repeatedly playing the network aggregative game in stochastic regimes, ...
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In this work, we propose a distributed no-regret learning for stochastic aggregative games over time-varying *** consider a finite set of players repeatedly playing the network aggregative game in stochastic regimes, where each player has an expectation-valued objective function depending on its own strategy and the aggregate of all player strategies, and the players can estimate gradients of their objective functions up to a zero-mean error with bounded variance. We consider the scenario in which players cannot directly obtain the aggregate value, but they are able to share their estimates of the aggregate with their neighbors without disclosing their own strategies. We design a distributed learning algorithm based on the mirror descent and dynamical averaging tracking. We then provide analysis for both the variational regret and the cost r√egret for aggregative games These analyses indicate the key correlations between the regret bounds, the network connectivity, and game structures, etc. In addition, we validate the almost sure convergence to the Nash equilibrium for the class of strictly monotone games. Finally, we present preliminary numerics by applying the proposed scheme to the Nash-Cournot competition problem.
This paper investigates the problem of outlier-resistant distributed fusion filtering(DFF)for a class of multi-sensor nonlinear singular systems(MSNSSs)under a dynamic event-triggered scheme(DETS).To relieve the effec...
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This paper investigates the problem of outlier-resistant distributed fusion filtering(DFF)for a class of multi-sensor nonlinear singular systems(MSNSSs)under a dynamic event-triggered scheme(DETS).To relieve the effect of measurement outliers in data transmission,a self-adaptive saturation function is ***,to further reduce the energy consumption of each sensor node and improve the efficiency of resource utilization,a DETS is adopted to regulate the frequency of data *** the addressed MSNSSs,our purpose is to construct the local outlier-resistant filter under the effects of the measurement outliers and the DETS;the local upper bound(UB)on the filtering error covariance(FEC)is derived by solving the difference equations and minimized by designing proper filter ***,according to the local filters and their UBs,a DFF algorithm is presented in terms of the inverse covariance intersection fusion *** such,the proposed DFF algorithm has the advantages of reducing the frequency of data transmission and the impact of measurement outliers,thereby improving the estimation ***,the uniform boundedness of the filtering error is discussed and a corresponding sufficient condition is ***,the validity of the developed algorithm is checked using a simulation example.
Introduced by various European Union member states in recent years, the very lightweight, single-seat microlight aircraft category (the German "Leichte Luftsportgeräte"-class), with an empty mass of up ...
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