Data-driven adaptive disturbance observers for model-free trajectory tracking control of maritime autonomous surface ships

Z Peng, D Wang, J Wang - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
In this article, we address the disturbance/uncertainty estimation of maritime autonomous
surface ships (MASSs) with unknown internal dynamics, unknown external disturbances …

Output-feedback flocking control of multiple autonomous surface vehicles based on data-driven adaptive extended state observers

Z Peng, L Liu, J Wang - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article addresses an output-feedback flocking control problem for a swarm of
autonomous surface vehicles (ASVs) to follow a leading ASV guided via a parameterized …

Combined MRAC for unknown MIMO LTI systems with parameter convergence

SB Roy, S Bhasin, IN Kar - IEEE Transactions on Automatic …, 2017 - ieeexplore.ieee.org
This work proposes a novel combined model reference adaptive controller (MRAC) for
unknown multi input multi output (MIMO) LTI systems with guaranteed parameter …

A UGES switched MRAC architecture using initial excitation

SB Roy, S Bhasin, IN Kar - IFAC-PapersOnLine, 2017 - Elsevier
This work proposes a novel switched model reference adaptive control (MRAC) architecture,
ensuring parameter convergence without requiring the assumption of persistence of …

Parameter convergence via a novel PI-like composite adaptive controller for uncertain Euler-Lagrange systems

SB Roy, S Bhasin, IN Kar - 2016 IEEE 55th Conference on …, 2016 - ieeexplore.ieee.org
This work proposes a novel PI-like composite adaptive control architecture for the uncertain
Euler-Lagrange (EL) systems. The composite adaptive law is strategically designed to be …

Command governor‐based adaptive control for dynamical systems with matched and unmatched uncertainties

M Yayla, E Arabi, AT Kutay… - International Journal of …, 2018 - Wiley Online Library
In this paper, we propose a command governor‐based adaptive control architecture for
stabilizing uncertain dynamical systems with not only matched but also unmatched …

[PDF][PDF] Relaxing persistence of excitation for parameter convergence in adaptive control: an initial excitation based approach

SB Roy - Ph. D. dissertation, 2019 - iitd.ac.in
Adaptive control, which is a well established field in nonlinear control, is used to handle
structured uncertainties in the dynamics by using an online estimator for the unknown …

Model-free Adaptive Position Tracking Control of Induction Motors Based on Memory-based Data-driven Extended State Observers

L Liu, A Yang, W Zhang - 2022 - researchsquare.com
This paper investigates the position control of induction motor in the presence of model
uncertainties, load torque disturbances, unknown input gains, and unmeasured rotor …

电液伺服试验机力控系统负载刚度自适应控制.

苏世杰, 游有鹏, 齐继阳, 赵华 - Control Theory & …, 2018 - search.ebscohost.com
负载刚度的变化会导致电液伺服力控系统的控制特性发生改变, 从而降低系统的稳定性与控制
精度. 本文以电液伺服万能试验机为研究对象, 首先建立了考虑负载刚度的力控系统数学模型 …

Discrete-time Concurrent Learning for System Identification and Applications: Leveraging Memory Usage for Good Learning

OSE Djaneye-Boundjou - 2017 - rave.ohiolink.edu
Literature on system identification reveals that persistently exiting inputs are needed in order
to achieve good parameter identification when using standard learning techniques such as …