Comparative values of tracking errors corresponding to ILC laws.

NIAID Data Ecosystem2026-03-14 收录

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https://figshare.com/articles/dataset/Comparative_values_of_tracking_errors_corresponding_to_ILC_laws_/21918588 数据链接链接失效反馈

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资源简介：

Comparative values of tracking errors corresponding to ILC laws.

创建时间：

2023-01-18

The determinants of the tracking error of passive exchange-traded investment funds listed on the Moscow Exchange

ETF跟踪误差分析

被动投资策略

the file contains data on the main determinants of the tracking error for 56 exchange-traded funds included in the sample

NIAID Data Ecosystem80

Source data for: Experimentally Validated Vector Lyapunov Function-Based Iterative Learning Control Design Under Input Saturation

迭代学习控制

实验验证

This article addresses the problem of input saturation in iterative learning control (ILC), a problem area that has seen relatively little research effort. A new design is developed based on a branch

DataCite Commons2025-02-11 更新60

Source data for: A Decentralized Optimal Iterative Learning Control Approach With Efficient Computation for Collaborative Tracking

迭代学习控制

多智能体协作

The dataset contains simulation results for a novel decentralized optimal iterative learning control (ILC) approach for collaborative tracking. It consists exclusively of graphical materials, includin

DataCite Commons2026-03-30 更新20

Source data for: Alternating projection-based iterative learning control for discrete-time systems with non-uniform trial lengths

迭代学习控制

自动控制系统

This article develops a novel framework for iterative learning control (ILC) design of discrete-time systems with non-uniform trial lengths by using the method of alternating projections. In contrast

DataCite Commons2024-10-17 更新70

Simulation data for the figures and tables.

多智能体协同

迭代学习控制

An event-triggered iterative learning consensus tracking control strategy is proposed for output constrained nonlinear discrete-time multi-agent systems. Firstly, the estimated Pseudo partial derivati

Figshare2025-03-21 更新50

Comparative values of tracking errors corresponding to ILC laws.

资源简介：

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