Results 261 to 270 of about 303,155 (330)

ESO-Based Model-Free Adaptive Iterative Learning Energy-Efficient Control for Subway Train With Disturbances and Over-Speed Protection

IEEE transactions on intelligent transportation systems (Print), 2023
An extended state observer based model-free adaptive iterative learning energy-efficient control (ESO-based MFAILEEC) scheme for subway train speed tracking with external disturbances and over-speed protection under the constraint on traction/braking ...
Jianmin Zheng, Zhongsheng Hou
semanticscholar   +1 more source

Learning-based adaptive control with an accelerated iterative adaptive law

Journal of the Franklin Institute, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhongjiao Shi, Liangyu Zhao
openaire   +2 more sources

Robust Adaptive Iterative Learning Control for a Generic Class of Uncertain Non-Square MIMO Systems

IEEE Transactions on Automatic Control
In this work, the adaptive iterative learning control (AILC) for a generic class of nonsquare nonlinear systems is investigated in presence of unknown control gain matrices and nonparametric iteration-varying uncertainties.
Xuefang Li, Zhongsheng Hou
semanticscholar   +1 more source

Recent developments in adaptive iterative learning control

Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), 2003
Results on adaptive iterative learning control for linear plants are given. The use of high gain feedback is reviewed and a full proof of the convergence of a 'universal' adaptive scheme based on high gain concepts is given. By an extension to a standard adaptive control design, and by incorporating continuous learning along each path, it is shown how ...
M. French, G. Munde, E. Rogers, D.H. Owens   +3 more
openaire   +1 more source

Adaptive Fuzzy Iterative Learning Control of Constrained Systems With Arbitrary Initial State Errors and Unknown Control Gain

IEEE Transactions on Automation Science and Engineering
An adaptive fuzzy iterative learning control(AFILC) method is presented to address the state tracking issue of constrained systems with arbitrary initial state errors and unknown control gain.
Huihui Shi, Qiang Chen, Yihuang Hong, Xianhua Ou, Xiongxiong He   +4 more
semanticscholar   +1 more source

Internal-Model-Principle-Based Fast Adaptive Iterative Learning Trajectory Tracking Control for Autonomous Farming Vehicle Under Alignment Condition and Input Constraint

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
A novel adaptive iterative learning control (NAILC) strategy is proposed to enhance static and dynamic control performances for the autonomous farming vehicle tracking repetitive trajectories of alternating parallel straight and large curvature.
Ting Zhang, X. Jiao, Yahui Zhang
semanticscholar   +1 more source

Safety-Critical Model-Free Adaptive Iterative Learning Control for Multi-Agent Consensus Using Control Barrier Functions

IEEE Transactions on Circuits and Systems - II - Express Briefs
Aiming at the problem of safety of unknown multi-agent systems in the process of executing repetitive tasks, an novel iterative learning control barrier functions is proposed in this brief.
Shuaiming Yan, Lei Shi, Hao Zhang, Shaojie Yao, Yi Zhou   +4 more
semanticscholar   +1 more source

Neural Network Adaptive Iterative Learning Control for Strict-Feedback Unknown Delay Systems Against Input Saturation

IEEE Transactions on Neural Networks and Learning Systems
Neural network adaptive iterative learning control (ILC) is developed in this article to treat strict-feedback nonlinear systems with unknown state delays and input saturation.
M. Shen, Zihao Wang, Song Zhu, Xudong Zhao, Guangdeng Zong, Qing-Guo Wang   +5 more
semanticscholar   +1 more source

Adaptive iterative learning control for discrete‐time nonlinear systems with multiple iteration‐varying high‐order internal models

International Journal of Robust and Nonlinear Control, 2021
In this work, an adaptive iterative learning control (AILC) method is designed for a class of parametric discrete‐time nonlinear systems with random initial condition, unknown time‐varying input gain and multiple time‐iteration‐varying factors including ...
Miao Yu, Sheng Chai
semanticscholar   +1 more source

Learning‐based iterative modular adaptive control for nonlinear systems

International Journal of Adaptive Control and Signal Processing, 2018
SummaryIn this paper, we study the problem of adaptive trajectory tracking control for a class of nonlinear systems with structured parametric uncertainties. We propose to use an iterative modular approach: we first design a robust nonlinear state feedback that renders the closed‐loop input‐to‐state stable (ISS). Here, the input is considered to be the
Mouhacine Benosman, Amir‐Massoud Farahmand, Meng Xia   +2 more
openaire   +1 more source