In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with ex...
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In this paper, a two-stage approach is proposed for the parameter identification of autoregressive moving average with exogenous (ARMAX) variable model. The proposed approach identifies the autoregressive part with exogenous variable (ARX) by a bias-eliminated least squares method, and the moving average (MA) part by utilizing the parameter relationship between MA process and its inverse. Finally, the noise variance can be computed by using the identified MA parameters. Numerical simulations validate the effectiveness of the proposed approach.
To address the issue of premature convergence and slow convergence rate in three-dimensional (3D) route planning of unmanned aerial vehicle (UAV) low-altitude penetration,a novel route planning method was *** and fore...
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To address the issue of premature convergence and slow convergence rate in three-dimensional (3D) route planning of unmanned aerial vehicle (UAV) low-altitude penetration,a novel route planning method was *** and foremost,a coevolutionary multi-agent genetic algorithm (CE-MAGA) was formed by introducing coevolutionary mechanism to multi-agent genetic algorithm (MAGA),an efficient global optimization algorithm.A dynamic route representation form was also adopted to improve the flight route ***,an efficient constraint handling method was used to simplify the treatment of multi-constraint and reduce the time-cost of planning *** and corresponding analysis show that the planning results of CE-MAGA have better performance on terrain following,terrain avoidance,threat avoidance (TF/TA2) and lower route costs than other existing *** addition,feasible flight routes can be acquired within 2 s,and the convergence rate of the whole evolutionary process is very fast.
Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresp...
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ISBN:
(纸本)9781467325813
Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.
In this paper, task allocation of multi-Unmanned Aerial Vehicles (UAVs) is studied, that is, multi-UAVs from different bases should be allocated to attack multiple targets. Based on the existing task allocation model,...
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In multiple moving object detection, the connection between objects and shadow always leads to the failure of object detection. To solve this problem, a new object extraction algorithm using level set is proposed and ...
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This paper addresses the problem of distributed connectivity constrained motion coordination of multiple autonomous mobile agents. Different from traditional flat network structure which lacks flexibility and scalabil...
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作者:
Kun, GongFang, DengTao, Ma
Beijing 100083 China School of Automation
Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Beijing 100081 China
In order to improve the precision of the azimuth measured by mobile robot's electronic compass, this paper proposes a new calibration method based on Fourier Neural Network trained by Modified Particle Swarm Optim...
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The segmentation of the medical image faces the challenges of the existence of large number of diverse structures of human anatomy and inevitable artifacts induced from the imaging procedure. In this paper we treat so...
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This paper presents a 3D online path planning algorithm for unmanned aerial vehicle (UAV) flying in partially known hostile environment. In order to provide a smooth fight route for UAV, the algorithm adopts B-Spline ...
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