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This paper proposes a general approach to design automatic controls to manipulate elastic objects into desired shapes. The object's geometric model is defined as the shape feature based on the specific task to globally describe the…

机器人学 · 计算机科学 2021-01-07 Wanyu Ma , Jihong Zhu , David Navarro-Alarcon

In this work, an intelligent controller is employed to the chaos control problem in a nonlinear pendulum. The adopted approach is based on the sliding mode control strategy and enhanced by an adaptive fuzzy algorithm to cope with modeling…

系统与控制 · 电气工程与系统科学 2022-06-06 Wallace Moreira Bessa , Aline Souza de Paula , Marcelo Amorim Savi

This paper presents a new data-driven control for multi-input, multi-output nonlinear systems with partially unknown dynamics and bounded disturbances. Since exact nonlinearity cancellation is not feasible with unknown disturbances, we…

系统与控制 · 电气工程与系统科学 2025-04-08 Jianglin Lan , Xianxian Zhao , Congcong Sun

Control Lyapunov function is a central tool in stabilization. It generalizes an abstract energy function -- a Lyapunov function -- to the case of controlled systems. It is a known fact that most control Lyapunov functions are non-smooth --…

最优化与控制 · 数学 2022-11-08 Pavel Osinenko , Grigory Yaremenko , Georgiy Malaniya

The robotic shape control of deformable linear objects has garnered increasing interest within the robotics community. Despite recent progress, the majority of shape control approaches can be classified into two main groups: open-loop…

机器人学 · 计算机科学 2024-09-23 Azad Artinian , Faiz Ben Amar , Veronique Perdereau

The objective of this note is to share some reflections of the authors regarding the use of sliding mode designs in control systems. We believe the abundant, and ever increasing, appearance of this kind of works on our scientific…

系统与控制 · 电气工程与系统科学 2025-10-10 Romeo Ortega , Leyan Fang , Jose Guadalupe Romero

This paper proposes a novel observer-based disturbance estimation method for high degree-of-freedom Euler-Lagrangian systems using an unknown input-output (UIO) sliding mode observer (SMO). Different from the previous SMO methods, this…

机器人学 · 计算机科学 2023-03-08 Zengjie Zhang , Dirk Wollherr

This article deals with the design of saturated controls in the context of partial differential equations. It focuses on a Korteweg-de Vries equation, which is a nonlinear mathematical model of waves on shallow water surfaces. Two different…

偏微分方程分析 · 数学 2016-09-20 Swann Marx , Eduardo Cerpa , Christophe Prieur , Vincent Andrieu

Shape control of deformable objects is a challenging and important robotic problem. This paper proposes a model-free controller using novel 3D global deformation features based on modal analysis. Unlike most existing controllers using…

机器人学 · 计算机科学 2023-04-19 Bohan Yang , Bo Lu , Wei Chen , Fangxun Zhong , Yun-Hui Liu

The precise motion control of a multi-degree of freedom~(DOF) robot manipulator is always challenging due to its nonlinear dynamics, disturbances, and uncertainties. Because most manipulators are controlled by digital signals, a novel…

机器人学 · 计算机科学 2021-02-09 Zhian Kuang , Xiang Zhang , Liting Sun , Huijun Gao , Masayoshi Tomizuka

In this paper, we present a general learning-based framework to automatically visual-servo control the position and shape of a deformable object with unknown deformation parameters. The servo-control is accomplished by learning a feedback…

机器人学 · 计算机科学 2018-07-03 Biao Jia , Zhe Hu , Zherong Pan , Dinesh Manocha , Jia Pan

Soft robots are made of compliant materials and perform tasks that are challenging for rigid robots. However, their continuum nature makes it difficult to develop model-based control strategies. This work presents a robust model-based…

This paper presents a robust tracking controller for tracking curvature-constrained paths by vehicles/robots with uncertain Dubins dynamics. Although Dubins paths have been widely used in vehicular and robotic applications, robust and…

系统与控制 · 电气工程与系统科学 2026-05-26 Xingjian Xue , Sze Zheng Yong

Saturations in control signal can challenge the stability proof of a feedback-linearization-based controller, even leading the system unstable [1]. Thus, several approaches are established to avoid reaching the saturation bound [2,3].…

系统与控制 · 电气工程与系统科学 2021-11-30 Zhe Shen , Yudong Ma , Takeshi Tsuchiya

When neural networks are used to model dynamics, properties such as stability of the dynamics are generally not guaranteed. In contrast, there is a recent method for learning the dynamics of autonomous systems that guarantees global…

机器学习 · 计算机科学 2022-03-21 Kenji Kashima , Ryota Yoshiuchi , Yu Kawano

This paper presents a novel position control strategy for a single-link flexible manipulator, tailored for applications where precise position must be achieved within strict time constraints. To accomplish this objective, firstly, a nested…

系统与控制 · 电气工程与系统科学 2026-05-13 Atul Sharma , Chayan Kumar Paul , S. Janardhanan

This paper presents the design of an extremum seeking controller based on sliding modes and cyclic search for real-time optimization of non-linear multivariable dynamic systems. These systems have arbitrary relative degree, compensated by…

最优化与控制 · 数学 2024-07-31 Nerito Oliveira Aminde , Tiago Roux Oliveira , Liu Hsu

We consider a single non-holonomic Dubins-like robot traveling with a constant longitudinal speed in an a priori unknown and unsteady planar environment. The robot should detect, locate, and track the boundary of a dynamic environmental…

In this paper, we propose a deep unfolding-based framework for the output feedback control of systems with input saturation. Although saturation commonly arises in several practical control systems, there is still a scarce of effective…

系统与控制 · 电气工程与系统科学 2021-01-28 Koki Kobayashi , Masaki Ogura , Taisuke Kobayashi , Kenji Sugimoto

In this work, we propose a new passivity-based sliding mode control method for mechanical port-Hamiltonian systems. Passivity-based sliding mode control (PBSMC) is unification of sliding mode control and passivity-based control. It achieves…

系统与控制 · 电气工程与系统科学 2023-01-02 Naoki Sakata , Kenji Fujimoto , Ichiro Maruta