Identifying the source of network diffusion is an important task in applications such as epidemics management and understanding the trend propagation over social networks. As observing each node carries a cost, we stu...
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Identifying the source of network diffusion is an important task in applications such as epidemics management and understanding the trend propagation over social networks. As observing each node carries a cost, we study the problem of sequential selection of observed nodes from two aspects: which nodes to observe such that the source is localized with the lowest cost, and for a pre-specified number of time-steps, which nodes to observe such that the resulting number of possible source candidates is the lowest. We show that both problems can be framed, under a simple propagation scenario, as dynamic programing with imperfect state knowledge. The proposed approach is optimal, but computationally intensive, hence we propose two simple greedy strategies. Using adaptive submodularity, we provide performance guarantees for one greedy algorithm. We evaluate the proposed approaches through simulation.
This paper addresses the problem of driving a quadrotor vehicle along a predefined 3-D trimming path. The proposed solution relies on the definition of a path-dependent error space to express the dynamic model of the ...
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ISBN:
(纸本)9781479986422
This paper addresses the problem of driving a quadrotor vehicle along a predefined 3-D trimming path. The proposed solution relies on the definition of a path-dependent error space to express the dynamic model of the vehicle, which results in linear time-invariant dynamics for the error system. The controller synthesis problem is then formulated as a linear quadratic regulator problem for LTI systems. The control strategy adopts the D-methodology integrated with the anti-windup technique in order to achieve zero static error for the integral states and to avoid actuator saturation. Experimental results where a quadrotor follows a trimming trajectory are presented to illustrate the performance of the proposed controller.
This paper presents the autonomous tracking and following of a marine vessel by an Unmanned Surface Vehicle in the presence of dynamic obstacles while following the International Regulations for Preventing Collisions ...
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This paper presents the autonomous tracking and following of a marine vessel by an Unmanned Surface Vehicle in the presence of dynamic obstacles while following the International Regulations for Preventing Collisions at Sea (COLREGS) rules. The motion prediction for the target vessel is based on Monte-Carlo sampling of dynamically feasible and collision-free paths with fuzzy weights, leading to a predicted path resembling anthropomorphic driving behavior. This prediction is continuously optimized for a particular target by learning the necessary parameters for a 3-degree-of-freedom model of the vessel and its maneuvering behavior from its path history without any prior knowledge. The path planning for the USV with COLREGS is achieved on a grid-based map in a single stage by incorporating A* path planning with Artificial Terrain Costs for dynamically changing obstacles. Various scenarios for interaction, including multiple civilian and adversarial vessels, are handled by the planner with ease. The effectiveness of the algorithms has been demonstrated both in representative simulations and on-water experiments.
This paper deals with a number of parallel LMS family algorithms in the context of their use in the acoustic echo cancellation. The most complex parts of the LMS-based algorithms were determined and parallelized. A nu...
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Individual identification at a distance using gait features has newly gained growing interest from biometrics researchers. Most of the researchers have been shown that different covariate factors can affect different ...
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This paper investigates the vibration control of an Euler-Bernoulli Beam with nonlinear backlash input. Based on the dynamical model of the flexible beam, the boundary control law and the disturbance observer are desi...
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ISBN:
(纸本)9781467374439
This paper investigates the vibration control of an Euler-Bernoulli Beam with nonlinear backlash input. Based on the dynamical model of the flexible beam, the boundary control law and the disturbance observer are designed to suppress the vibration of the system and reduce the effect of the backlash. The stability of the closed-loop system is proved and the uniform boundness of the states of the system is achieved. The proposed boundary control with appropriate parameters is proved to be effective by the performance of numerical simulations of the flexible beam system.
In this paper,active disturbance rejection control(ADRC) technique is described in *** algorithms for each component are given as *** order to control the attitudes of a quad-rotor robot as we desired,two kinds of con...
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In this paper,active disturbance rejection control(ADRC) technique is described in *** algorithms for each component are given as *** order to control the attitudes of a quad-rotor robot as we desired,two kinds of continuous ADRC controllers are *** satisfactory real-time control experimental results indicate that the continuous ADRC can not only meet the control accuracy requirement but also can achieve rapid and effective response for the nonlinear coupled ***,the advantages and scopes of application of the two controllers are summarized.
Effective chemical plume tracing strategies are important for autonomous underwater vehicles (AUVs) to perform a variety of missions of searching for underwater targets, such as oil spill sources and deep-sea hydrothe...
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Effective chemical plume tracing strategies are important for autonomous underwater vehicles (AUVs) to perform a variety of missions of searching for underwater targets, such as oil spill sources and deep-sea hydrothermal vents. In such circumstances where fluid flow direction cannot be measured by AUVs or fluid flow direction provides little or wrong information about the distribution of a dynamic chemical plume or its source location, chemical plume tracing strategies that rely on information of fluid flow direction may not work effectively. In this paper, a modified moth-inspired chemical plume tracing strategy is presented, which could trace a turbulent chemical plume without need of information of flow direction. The strategy estimates the direction of plume centerline based on information from a pair of spatially separated chemical sensors symmetrically mounted on an AUV's nose together with the AUV's zigzag plume-tracing trajectory, and employs the estimated direction of plume centerline to implement the plume tracing. The proposed strategy is implemented in a computer simulation environment and the simulation results demonstrate that with the strategy an AUV could track a turbulent chemical plume over a long distance and finally localize the plume source.
This paper investigates the dynamic role assignment and collision avoidance for the discrete-time system without global information. Based on the traditional formation control protocol, the formation control algorithm...
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ISBN:
(纸本)9781467374439
This paper investigates the dynamic role assignment and collision avoidance for the discrete-time system without global information. Based on the traditional formation control protocol, the formation control algorithm with dynamic role assignment is proposed. To make each agent act efficiently, we give an assignment transformation matrix by solving an optimal problem with distributed auction algorithm. Modified formation control algorithm with derivation of an avoidance function is presented, which can guarantee collision-free movement for each agent. Mathematical theory and simulation verify the effectiveness of the proposed algorithms.
Many advanced EMG-based upper-limb prosthesis control methods require model training in which subjects produce supervised forces/movements. Since unilateral limb-absent subjects cannot produce forces/movements on thei...
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Many advanced EMG-based upper-limb prosthesis control methods require model training in which subjects produce supervised forces/movements. Since unilateral limb-absent subjects cannot produce forces/movements on their affected side, one technique (mirrored bi-lateral training) relates forces/motions produced on the sound side to EMG on the affected side. However, the efforts made by the phantom limb may not fully reflect those of the sound limb. To understand this issue, three able-bodied subjects produced mirrored bi-lateral forces during constant-posture contraction at the wrist. EMG-force models were formed for 1- and 2-degree of freedom tasks and results compared to previous trials in which ipsilateral training had been conducted. We found that contralateral training generally, but not always, produced errors (in percent maximum voluntary contraction) that were 6-56% larger than those found from ipsilateral training. Our results suggest that a substantial portion-but not all-of the errors found in mirrored tasks may be due to contralateral tracking errors. Further study with a larger population is indicated.
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