This paper is concerned with fundamental properties of a class of composite systems with fractional degree generalized frequency variables, including controllability, observability and stability. Firstly, some necessa...
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This paper is concerned with fundamental properties of a class of composite systems with fractional degree generalized frequency variables, including controllability, observability and stability. Firstly, some necessary and sufficient conditions are given to guarantee controllability and observability of such composite systems. Then we prove that the stability problem of such composite systems can be reduced to judging whether a fractional degree polynomial is stable. Finally, the stability analysis result is applied in the supervisory control of fractional-order multi-agent systems, and an example is provided to illustrate the effectiveness of the proposed methods.
Many intelligent methods have been proposed and applied in the field of autonomous manufacturing inspection. These advanced algorithms with high requirements on computing power and network may lead to time delay, high...
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Unmanned aerial vehicles (UAVs) can provide vision at high altitude. In this paper, multi-UAVs and ground vehicle are utilized to explore a complex environment with obstacles. The desired UAV formation is proposed aro...
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Visual simultaneous localization and mapping (vSLAM) and 3D reconstruction methods have gone through impressive progress. These methods are very promising for autonomous vehicle and consumer robot applications because...
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The revise abstract is given as follows: The rapid emergence of the super-spreader COVID-19 with severe economic calamities with devastating social impact worldwide created the demand for effective research on the spr...
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Initially found at Hubei, Wuhan and identified as a novel virus of coronavirus family by WHO, COVID-19 has spread worldwide with an exponentially speed, causing millions of death and public fear. Currently, COVID-19 h...
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In this paper, a simple and effective real-time 3D semantic mapping method is proposed. The proposed method take per-frame bounding box detections and sensor (camera) extrinsic transformation estimates as inputs and p...
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In this paper, a simple and effective real-time 3D semantic mapping method is proposed. The proposed method take per-frame bounding box detections and sensor (camera) extrinsic transformation estimates as inputs and produces a set of static 3D bounding boxes in world coordinate system as 3D semantic mapping results. Each object has a Kalman filter as its state estimator and intersection over union of 3D bounding boxes is used for data association. To evaluate the proposed method, a new benchmark is derived from the KITTI object tracking evaluation. Ground-truth semantic maps are constructed based on oxts data and labeled 3D bounding boxes of KITTI. Three novel semantic map-centered metrics: DAOD, AAOD, and PRVO are proposed. Experiments are conducted to evaluate the proposed method. Experiments show that the metric and benchmarking dataset can serve as a new benchmark platform for easier comparison of new methods.
During the operation of a power plant, open-loop experiments are prohibited and this results in great difficulties for proportional-integral (PI) controller optimization. To overcome this question, a practical closed-...
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During the operation of a power plant, open-loop experiments are prohibited and this results in great difficulties for proportional-integral (PI) controller optimization. To overcome this question, a practical closed-loop identification method with feedforward control is proposed in this paper. The theoretical analyses and the implementations are carried out based on closed-loop data, and simulation results have validated the effectiveness of the proposed method. Finally, the identified system built by the proposed method is applied to the control optimization for a low-pressure heater in a 330MW power plant. Based on the identified system, the PI parameters are retuned and optimized, and the field running data validate the obvious improvement of the disturbance rejection performance. The successful application shows a promising future of the proposed closed-loop identification in practical industrial processes.
Due to the stochastic of multi-agent systems, it is difficult to achieve strict consensus. In this paper, consensus in the sense of probability is achieved by reducing the output error entropy of multi-agent system. S...
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In this paper we develop backstepping-based boundary sliding mode controllers for coupled time fractional reaction diffusion (FRD) systems governed by time fractional partial differential equations (PDEs) with time va...
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