Zobrazeno 1 - 10
of 462
pro vyhledávání: '"Li, Jiayun"'
This paper considers the output prediction problem for an unknown Linear Time-Invariant (LTI) system. In particular, we focus our attention on the OBF-ARX filter, whose transfer function is a linear combination of Orthogonal Basis Functions (OBFs), w
Externí odkaz:
http://arxiv.org/abs/2409.05390
This paper is concerned with the finite time identification performance of an n dimensional discrete-time Multiple-Input Multiple-Output (MIMO) Linear Time-Invariant system, with p inputs and m outputs. We prove that the widely-used Ho-Kalman algorit
Externí odkaz:
http://arxiv.org/abs/2310.11790
Activation functions are essential to introduce nonlinearity into neural networks, with the Rectified Linear Unit (ReLU) often favored for its simplicity and effectiveness. Motivated by the structural similarity between a shallow Feedforward Neural N
Externí odkaz:
http://arxiv.org/abs/2309.17194
Inertia drift is an aggressive transitional driving maneuver, which is challenging due to the high nonlinearity of the system and the stringent requirement on control and planning performance. This paper presents a solution for the consecutive inerti
Externí odkaz:
http://arxiv.org/abs/2306.12604
Autor:
Li, Jiayun, Mo, Yilin
This paper proposes an identification algorithm for Single Input Single Output (SISO) Linear Time-Invariant (LTI) systems. In the noise-free setting, where the first $T$ Markov parameters can be precisely estimated, all Markov parameters can be infer
Externí odkaz:
http://arxiv.org/abs/2304.03024
In this paper, we consider a Model Predictive Control (MPC) problem of a continuous-time linear time-invariant system subject to continuous-time path constraints on the states and the inputs. By leveraging the concept of differential flatness, we can
Externí odkaz:
http://arxiv.org/abs/2303.17889
Autor:
Zhou, Jun, Wu, Chuanhao, Yeh, Pat J.-F., Li, Jiayun, Wang, Saisai, Zhang, Junlong, Yuan, Shanshui, Fu, Xiaolei
Publikováno v:
In Journal of Hydrology September 2024 641
Publikováno v:
In Complementary Therapies in Clinical Practice August 2024 56
Autor:
Wang, Shengbin, Wang, Zhimin, He, Runhong, Cui, Guolong, Shi, Shangshang, Shang, Ruimin, Li, Jiayun, Li, Yanan, Li, Wendong, Wei, Zhiqiang, Gu, Yongjian
Publikováno v:
New J. Phys. 24 (2022)
Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms, which is applied to transduce the data from computational basis into amplitude. Here we present a new algorithm for performing black-box sta
Externí odkaz:
http://arxiv.org/abs/2112.05937
Autor:
Hu, Wenxiang, Li, Jiayun, Zhang, Xindan, Lv, Yangbin, Ye, Hongwei, Li, Chenyue, Liu, Ehu, Chu, Chu
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 15 December 2024 251