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相关论文: A Nearly Optimal Chattering Reduction Method of Sl…

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In this work, a new SMS is proposed to achieve high tracking and suitable robustness. However, the chattering phenomenon should be regarded as the main drawback of the SMC. Therefore, a new compound control algorithm is used for reducing…

系统与控制 · 电气工程与系统科学 2020-12-15 Mehran Rahmani , Asif Al Zubayer Swapnil

In this thesis, advanced design technique in sliding mode control (SMC) is presented with focus on PID (Proportional-Integral-Derivative) type Sliding surfaces based Sliding mode control with improved power rate exponential reaching law for…

系统与控制 · 电气工程与系统科学 2022-07-25 Kirtiman Singh

Many applications require solving non-linear control problems that are classically not well behaved. This paper develops a simple and efficient chattering algorithm that learns near optimal decision policies through an open-loop feedback…

机器学习 · 计算机科学 2017-03-21 Peeyush Kumar , Wolf Kohn , Zelda B. Zabinsky

Robust finite-time feedback controller introduced for the second-order systems in [1] can be seen as a non-overshooting quasi-continuous sliding mode control. The paper proposes a regularization scheme to suppress inherent chattering due to…

最优化与控制 · 数学 2025-06-06 Michael Ruderman , Denis Efimov

Motivated by the concept of Quasi-Sliding Mode (QSM) in discrete-time systems, this paper presents a novel approach that relaxes the requirement of ubiquitous exact sliding motion in continuous-time systems, aiming to achieve an…

系统与控制 · 电气工程与系统科学 2023-04-25 Pankaj K Mishra , Pushpak Jagtap

Achieving precise and efficient trajectory tracking in robotic arms remains a key challenge due to system uncertainties and chattering effects in conventional sliding mode control (SMC). This paper presents a chattering-free fast terminal…

系统与控制 · 电气工程与系统科学 2025-11-17 Momammad Ali Ranjbar

This paper present new approach in robust indirect rotor field oriented (IRFOC) induction motor (IM) control. The introduction of new exponential reaching law (ERL) based sliding mode control (SMC) improve significantly the performances…

机器人学 · 计算机科学 2011-11-10 Salah Eddine Rezgui , Hocine Benalla

This paper provides new analytic tools for a rigorous control formulation and stability analysis of sliding mode-multimodel controller (SM-MMC). In this way to minimise the chattering effect we will adopt as a starting point the multimodel…

系统与控制 · 计算机科学 2013-04-02 Ahmed Rhif , Zohra Kardous , Naceur Ben

Chatter is a self-excited vibration in milling that degrades surface quality and accelerates tool wear. This paper presents an adaptive process controller that suppresses chatter by leveraging machine learning-based online estimation of the…

系统与控制 · 电气工程与系统科学 2025-11-25 Yi Huang , Feng Han , Wenyi Liu , Jingang Yi , Yuebin Guo

This paper presents three types of sliding mode controllers for a magnetic levitation system. First, a proportional-integral sliding mode controller (PI-SMC) is designed using a new switching surface and a proportional plus power rate…

系统与控制 · 电气工程与系统科学 2022-01-03 Pratik Vernekar , Vitthal Bandal

Sliding mode control (SMC) is a robust and computationally efficient model-based controller design technique for highly nonlinear systems, in the presence of model and external uncertainties. However, the implementation of the conventional…

最优化与控制 · 数学 2018-05-18 Mohammad Reza Amini , Mahdi Shahbakhti , Selina Pan

We analyze actuator chattering in a scalar integrator system subject to second-order actuator dynamics with an unknown time constant and first-order sliding-mode control, using both a conventional static sliding manifold and a dynamic…

系统与控制 · 电气工程与系统科学 2026-05-12 Patricia Nöther , Lars Watermann , Johann Reger

This paper proposes a practical implementation of sliding mode control (SMC) that utilizes partial modeling compensation. Sliding mode control is well known for its effectiveness as a model free control approach, however, its effectiveness…

系统与控制 · 电气工程与系统科学 2020-08-04 Gangfeng Yan , Khalid Abidi

Sliding mode control (SMC) is a robust and computationally efficient solution for tracking control problems of highly nonlinear systems with a great deal of uncertainty. High frequency oscillations due to chattering phenomena and…

最优化与控制 · 数学 2017-06-08 Mohammad Reza Amini , Mahdi Shahbakhti , Selina Pan , J. Karl Hedrick

The recently introduced energy-saving extension of the sub-optimal sliding mode control allows for control-off phases during the convergence to second-order equilibrium. This way, it enables for a lower energy consumption compared to the…

系统与控制 · 电气工程与系统科学 2024-09-17 Michael Ruderman

The research on sliding mode control strategy is generally based on the robust approach. The larger parameter space consideration will inevitably sacrifice part of the performance. Recently, the data-driven sliding mode control method…

系统与控制 · 电气工程与系统科学 2022-05-10 Yaru Yu , Dewei Li , Dongya Zhao , Yugeng Xi

This paper presents a combined sliding-mode control and subspace stabilization methodology for orbital stabilization of periodic trajectories in underactuated mechanical systems with one degree of underactuation. The approach starts with…

机器人学 · 计算机科学 2025-12-05 Maksim Surov , Leonid Freidovich

This paper addresses to Sliding Mode Learning Control (SMLC) of uncertain nonlinear systems with Lyapunov stability analysis. In the control scheme, a conventional control term is used to provide the system stability in compact space while…

系统与控制 · 电气工程与系统科学 2021-03-23 Erkan Kayacan

The second-order sub-optimal sliding mode control (SMC), known in the literature for the last two decades, is extended by a control-off mode which allows for saving energy during the finite time convergence. The systems with relative degree…

最优化与控制 · 数学 2023-05-16 Michael Ruderman , Alessandro Pisano , Elio Usai

This paper proposes a novel fixed-time integral sliding mode controller for admittance control to enhance physical human-robot collaboration. The proposed method combines the benefits of compliance to external forces of admittance control…

机器人学 · 计算机科学 2022-08-11 Yuzhu Sun , Mien Van , Stephen McIlvanna , Sean McLoone , Dariusz Ceglarek
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