In this paper, we investigate the distributed optimization problem for heterogeneous linear multi-agent systems with unknown disturbances. By applying the primal-dual method and the time-scale separation technique, a ...
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Based on the background of the first pulsar navigation dedicated test satellite in China—X-ray pulsar navigation 1 (XPNAV-l), this paper analyzes the astronomical objects observation task of Low-Earth-Orbit satellite...
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ISBN:
(纸本)9798400707810
Based on the background of the first pulsar navigation dedicated test satellite in China—X-ray pulsar navigation 1 (XPNAV-l), this paper analyzes the astronomical objects observation task of Low-Earth-Orbit satellites, studies the characteristics of astronomical object observation task and the requirements for satellite attitude control, proposes a satellite attitude control scheme, and further studies the problem of high-precision target pointing. A spiral segmented method for astronomical object search and pointing correction is proposed, which solves the problem of high-precision pointing of astronomical object by satellites without absolute reference in orbit. Through XPNAV-l on-orbit experiments, it is verified that the proposed scheme achieves high accuracy and meets the needs of astronomical exploration.
Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well wi...
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Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well with complex *** the frequent need to solve varied combinatorial optimization problems, leveraging statistical learning to auto-tune B&B algorithms for specific problem classes becomes attractive. This paper proposes a graph pointer network model to learn the branch rules. Graph features, global features and historical features are designated to represent the solver state. The graph neural network processes graph features, while the pointer mechanism assimilates the global and historical features to finally determine the variable on which to branch. The model is trained to imitate the expert strong branching rule by a tailored top-k Kullback-Leibler divergence loss function. Experiments on a series of benchmark problems demonstrate that the proposed approach significantly outperforms the widely used expert-designed branching rules. It also outperforms state-of-the-art machine-learning-based branch-and-bound methods in terms of solving speed and search tree size on all the test instances. In addition, the model can generalize to unseen instances and scale to larger instances.
In this paper, the tracking control problem for networked controlsystem (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is...
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Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-...
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Dear Editor,Two-dimensional(2-D) systems have wide applications in image data processing,gas absorption and fluid dynamics analysis [1]-[3].When there exist abrupt changes in 2-D systems,they are usually modeled by 2-D Markov jump systems(MJSs) or 2-D semi-Markov jump systems(SMJSs).This letter investigates the control of 2-D SMJSs based on a novel mode generation mechanism,which could avoid mode ambiguousness phenomenon caused by the evolution of system mode in two different *** criterion that guarantees the almost surely exponential stability of the system is obtained.A thermal process is studied to demonstrate the availability of the proposed method.
This work presents the architecture and development of the Serious Game (SG) Memô which is aimed at exercising the Short-Term Memory (STM) of children with Autism Spectrum Disorder (ASD). This serious game propos...
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In this paper, we propose a novel model compression method based on knowledge distillation, that is called Pre-Distillation, for object detection task. First, the full model is 'squashed' (by the instructor) t...
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One of the causes of faults in the electric drive is the failure of the power semiconductor module. Semiconductors degrade under the effect of thermal cycles. Thermal aging of materials occurs due to temperature diffe...
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The paper considers the synthesis of a combined nonlinear controller of the control multiply-connected system for an input-non-affine plant with delay at the input signal and state. Dynamics of the plant changes in st...
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In this article, the problem of air-ground vehicles path planning is investigated. The objective is to navigate each vehicle from its starting position to the intended destination, while avoiding collisions with obsta...
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