Existing smoke vehicle detection methods and vision-based smoke detection methods are vulnerable to false alarms. This paper presents an automatic smoke vehicle detection method based on multi-feature fusion and hidde...
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This paper considers the problem of a missile intercepting a maneuvering target with demand for fast finite-time convergence and anti-chattering. Based on the widely used proportional navigation strategy, a novel inte...
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ISBN:
(纸本)9781467374439
This paper considers the problem of a missile intercepting a maneuvering target with demand for fast finite-time convergence and anti-chattering. Based on the widely used proportional navigation strategy, a novel integrated guidance and control(IGC) scheme is proposed, which is formulated as a second-order affine nonlinear system with uncertainties. Then the smooth adaptive nonsingular terminal sliding mode control(SANTSMC) method which is proposed in our pervious work is applied to this IGC scheme. By virtue of the SANTSMC method, the uncertainties with unknown bounds can be addressed, fast finite-time convergence can be achieved, and the chattering problem can be well solved.
In this paper, we propose a pylon reconstruction method based on Neural Radiance Fields (NeRF) technology. The advantage of this method lies in its ability to reconstruct pylons from images, with a multi-view model ma...
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In this paper,a new time-varying terminal sliding mode with unknown uncertainty bounds is designed to make multiple missiles-attack against the maneuvering target *** new method in this paper can guarantee accurate ti...
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ISBN:
(纸本)9781509009107
In this paper,a new time-varying terminal sliding mode with unknown uncertainty bounds is designed to make multiple missiles-attack against the maneuvering target *** new method in this paper can guarantee accurate time-to-go by distributed ***,a new cooperative guidance law is designed for the nonlinear system based on the known uncertainty ***,it is extended to unknown uncertainty bound using the disturbance observer and the composite cooperative guidance *** desired salvo attack time is achieved by selecting the parameter variables of sliding model and the adjacency matrix in the *** simulations with the comparisons demonstrate the effectiveness and the superiority of the proposed method.
Abnormal driving behaviour is a leading cause of serious traffic accidents threatening human life and public property globally. In this paper, we investigate the use of a deep learning approach to automatically recogn...
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With the demand for pollution prevention has increased. Establishing a smoky vehicle inspection and evidence collection system will help to supervise the problem of excessive emissions of vehicles. Because the sample ...
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作者:
Xiongbo WanChaoling ZhangFan WeiChuan-Ke ZhangMin WuIEEEthe School of Automation
China University of Geosciencesthe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsand the Engineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationWuhan 430074China
This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative ...
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This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative dynamic variable and an additive dynamic *** addressed DETM-based fuzzy MPC issue is described as a “min-max” optimization problem(OP).To facilitate the co-design of the MPC controller and the weighting matrix of the DETM,an auxiliary OP is proposed based on a new Lyapunov function and a new robust positive invariant(RPI) set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy MPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI *** the designed controller,the involved fuzzy system is ensured to be asymptotically *** examples show that the new DETM and DETM-based MPC algorithm have the advantages of reducing resource consumption while yielding the anticipated performance.
In the context of the gradual shortage of fossil energy and serious pollution, the voice of energy transformation is increasing year by year. With the development of Internet and artificial intelligence, the smart ene...
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An optimized YOLOX+DeepSORT method is proposed to accurately detect and track container trucks and truck drivers at the working position of automated rubber tire gantries in ports, while ensuring their safety during t...
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This paper presents a single-loop Model Predictive control strategy that incorporates a reduced-order Generalized Proportional Integral Observe and a Kalman filter to enhance the speed regulation of Permanent Magnet S...
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