Zobrazeno 1 - 10
of 14 762
pro vyhledávání: '"Guo,Lei"'
Autor:
Zheng, Xin, Guo, Lei
It is well-known that saturated output observations are prevalent in various practical systems and that the $\ell_1$-norm is more robust than the $\ell_2$-norm-based parameter estimation. Unfortunately, adaptive identification based on both saturated
Externí odkaz:
http://arxiv.org/abs/2412.10695
Combinatorial bilevel congestion pricing (CBCP), a variant of the discrete network design problem, seeks to minimize the total travel time experienced by all travelers in a road network, by strategically selecting toll locations and determining the c
Externí odkaz:
http://arxiv.org/abs/2412.06482
Autor:
Zhang, Lantian, Guo, Lei
This paper considers real-time control and learning problems for finite-dimensional linear systems under binary-valued and randomly disturbed output observations. This has long been regarded as an open problem because the exact values of the traditio
Externí odkaz:
http://arxiv.org/abs/2411.05975
The well-known generalization problem hinders the application of artificial neural networks in continuous-time prediction tasks with varying latent dynamics. In sharp contrast, biological systems can neatly adapt to evolving environments benefiting f
Externí odkaz:
http://arxiv.org/abs/2410.10253
We present a data-driven approach to use the Koopman generator for prediction and optimal control of control-affine stochastic systems. We provide a novel conceptual approach and a proof-of-principle for the determination of optimal control policies
Externí odkaz:
http://arxiv.org/abs/2410.09452
Autor:
Chen, Hao, Zhao, Wei, Li, Yingli, Zhong, Tianyang, Wang, Yisong, Shang, Youlan, Guo, Lei, Han, Junwei, Liu, Tianming, Liu, Jun, Zhang, Tuo
Medical image analysis is crucial in modern radiological diagnostics, especially given the exponential growth in medical imaging data. The demand for automated report generation systems has become increasingly urgent. While prior research has mainly
Externí odkaz:
http://arxiv.org/abs/2409.19330
Autor:
Li, Wenjun, Cai, Ying, Wu, Ziyang, Zhang, Wenyi, Chen, Yifan, Qi, Rundong, Dong, Mengqi, Chen, Peigen, Dong, Xiao, Shi, Fenghao, Guo, Lei, Han, Junwei, Ge, Bao, Liu, Tianming, Gan, Lin, Zhang, Tuo
Music is essential in daily life, fulfilling emotional and entertainment needs, and connecting us personally, socially, and culturally. A better understanding of music can enhance our emotions, cognitive skills, and cultural connections. The rapid ad
Externí odkaz:
http://arxiv.org/abs/2409.09601
Utilizing physics-informed neural networks (PINN) to solve partial differential equations (PDEs) becomes a hot issue and also shows its great powers, but still suffers from the dilemmas of limited predicted accuracy in the sampling domain and poor pr
Externí odkaz:
http://arxiv.org/abs/2407.20560
Diffusion models have been extensively utilized in AI-generated content (AIGC) in recent years, thanks to the superior generation capabilities. Combining with semantic communications, diffusion models are used for tasks such as denoising, data recons
Externí odkaz:
http://arxiv.org/abs/2407.18468
High-precision control for nonlinear systems is impeded by the low-fidelity dynamical model and external disturbance. Especially, the intricate coupling between internal uncertainty and external disturbance is usually difficult to be modeled explicit
Externí odkaz:
http://arxiv.org/abs/2407.13229