The minimal dominating set (MDS) is a well-established concept in network controllab.lity and has been successfully applied in various domains, including sensor placement, network resilience, and epidemic containment....
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Underwater Wireless Sensor Networks (UWSN) has a brilliant prospect in many underwater applications, so the researches on UWSN have been paid more and more attention in recent decades. In this paper, a prototype syste...
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We develop an algorithm RSFA to perform nonlinear blind source separation with temporal constraint. The algorithm is based on slow feature analysis using random Fourier features for shift-invariant kernels, followed b...
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Human-computer cooperation is one of the key points of meta-synthetic computing. It is also one of the most difficult issues when implementing this type of computing. This paper summarizes three paradigms of human-com...
Owing to the rapid development of smart materials, flow control by travelling waves (TW) produced on flexible skin is becoming a very promising new area of research. One of the most revolutionary concepts of using TW ...
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Owing to the rapid development of smart materials, flow control by travelling waves (TW) produced on flexible skin is becoming a very promising new area of research. One of the most revolutionary concepts of using TW technique is to trap a row of controllab.e vortices over the body surface, which plays a role of "fluid roller bearing" (FRB) between the external flow and the solid wall. The FRB can replace the conventional boundary layer and hence remove the latter's various unfavorable effects. This paper reports our preliminary numerical study of the FRB effect on flow over several typical walls, especially an airfoil with FRB at the stall angle of attack, which has never been considered before. Significant improvement of aerodynamic performance on the FRB-airfoil is observed, which strongly suggests that the FRB effect may open a brand new avenue to the 21thCentury aerodynamics.
A decentralized, adaptive control law is presented to drive a network of mobile robots to an optimal sensing configuration. The control law is adaptive in that it uses sensor measurements to learn the distribution of ...
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A decentralized, adaptive control law is presented to drive a network of mobile robots to an optimal sensing configuration. The control law is adaptive in that it uses sensor measurements to learn the distribution of sensory information in the environment. It is decentralized in that it requires only information local to each robot. The controller is then improved by introducing a consensus algorithm to propagate sensory information from every robot throughout the network. Convergence and consensus of parameters is proven with a Lyapunovtype proof. The controller with and without consensus is demonstrated in numerical simulations. These techniques are suggestive of broader applications of adaptive control methodologies to decentralized control problems in unknown dynamic environments.
This paper presents a reinforcement learning (RL) algorithm for multi-agent patrol tasks, which can be thought of as a dynamic programming problem with stochastic demands. We define the cover rate as the reward, the m...
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Tracking control problem of mobile manipulators with dynamical uncertainties is addressed in this paper. The controller is designed based on model of mobile manipulators consisting of two cascaded subsystems: a chaine...
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Wireless multimedia sensor networks (WMSNs) differ from the traditional wireless sensor networks (WSNs) due to their characteristics of directivity and turnable. However, as for the existing research on coverage of wi...
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