Accurate fault diagnosis plays a key role in the safe and efficient operation of electrical motors. Aiming at multi-class motor fault diagnosis under complex working conditions, a signal fusion-based fault diagnosis f...
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In this article, event-triggered model predictive control (EMPC) of continuous-time nonlinear systems with bounded disturbances is studied. Two novel event-triggered control schemes are proposed. In the first strategy...
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作者:
Ji, YangSchool of Automation
Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex System Beijing100081 China
This paper mainly focuses on the problem of target tracking trajectory generation for quadrotors in static complex environments. In this paper, a trajectory planning framework is proposed that can be used to address t...
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This paper investigates the containment problem of continuous-time multi-agent systems with multiplicative noises,where the first-order and second-order multi-agent systems are studied *** on stochastic analysis tools...
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This paper investigates the containment problem of continuous-time multi-agent systems with multiplicative noises,where the first-order and second-order multi-agent systems are studied *** on stochastic analysis tools,algebraic graph theory,and Lyapunov function method,the containment protocols based the relative states measurement with multiplicative noises are developed to guarantee the mean square and almost sure ***,the sufficient conditions and necessary conditions related to the control gains are derived for achieving mean square and almost sure *** is also shown that multiplicative noises may works positively for the almost sure containment of the first-order multi-agent *** examples are also introduced to illustrate the effectiveness of the theoretical results.
To achieve precise localization,autonomous vehicles usually rely on a multi-sensor perception system surrounding the mobile *** is a time-consuming process,and mechanical distortion will cause extrinsic calibration **...
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To achieve precise localization,autonomous vehicles usually rely on a multi-sensor perception system surrounding the mobile *** is a time-consuming process,and mechanical distortion will cause extrinsic calibration ***,we propose a lidar-visual-inertial odometry,which is combined with an adapted sliding window mechanism and allows for online nonlinear optimization and extrinsic *** the adapted sliding window mechanism,spatial-temporal alignment is performed to manage measurements arriving at different *** nonlinear optimization with online calibration,visual features,cloud features,and inertial measurement unit(IMU)measurements are used to estimate the ego-motion and perform extrinsic *** experiments were carried out on both public datasets and real-world *** indicate that the proposed system outperforms state-of-the-art open-source methods when facing challenging sensor-degenerating conditions.
In the highly automatic smart grid, the security control and service quality of power system are significantly depended on information network. From the perspective of information interaction, cyber-physical power sys...
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In the context of the clean and low-carbon energy revolution, high proportional renewable energy source (RES) will be one of the basic characteristics of the future power system. The traditional sequential scheduling ...
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Three terminal line is a typical structure in distribution network, and its fault location has been the focus because of the large scale distributed generation integration. Recently, a parameter-free fault location me...
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In recent years, the economic operation of Integrated Energy system (IES) has been widely concerned. How to determine the energy price has become an urgent problem to be solved of IES. In order to overcome this proble...
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Existing research on high-frequency oscillation indicates that the high-frequency oscillation during no-load charging of modular multilevel converter (MMC) station is primarily linked to time delay and the ground capa...
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