中文
相关论文

相关论文: Disturbance Rejection Control for Autonomous Troll…

200 篇论文

This paper presents an approach towards guaranteed trajectory tracking for nonlinear control-affine systems subject to external disturbances based on robust control contraction metrics (CCM) that aims to minimize the $\mathcal L_\infty$…

系统与控制 · 电气工程与系统科学 2023-07-07 Pan Zhao , Arun Lakshmanan , Kasey Ackerman , Aditya Gahlawat , Marco Pavone , Naira Hovakimyan

Adaptive-Cruise Control (ACC) automatically accelerates or decelerates a vehicle to maintain a selected time gap, to reach a desired velocity, or to prevent a rear-end collision. To this end, the ACC sensors detect and track the vehicle…

物理与社会 · 物理学 2007-06-13 Arne Kesting , Martin Treiber , Martin Schönhof , Florian Kranke , Dirk Helbing

Planning safe trajectories under uncertain and dynamic conditions makes the autonomous driving problem significantly complex. Current sampling-based methods such as Rapidly Exploring Random Trees (RRTs) are not ideal for this problem…

机器人学 · 计算机科学 2020-11-11 Kaleb Ben Naveed , Zhiqian Qiao , John M. Dolan

We study online fine-tuning of pretrained control policies for autonomous driving using Real-Time Recurrent Reinforcement Learning (RTRRL), a memory-efficient algorithm that updates policy parameters at every time step without…

机器人学 · 计算机科学 2026-05-19 Julian Lemmel , Felix Resch , Mónika Farsang , Ramin Hasani , Daniela Rus , Radu Grosu

In this paper, we investigate the adaptive control problem for robot manipulators with both the uncertain kinematics and dynamics. We propose two adaptive control schemes to realize the objective of task-space trajectory tracking…

系统与控制 · 计算机科学 2017-07-13 Hanlei Wang

In this paper, we propose and demonstrate an adaptive-sliding mode control for trajectory tracking control of robot manipulators subjected to uncertain dynamics, vibration disturbance, and payload variation disturbance. Throughout this work…

系统与控制 · 电气工程与系统科学 2024-08-07 Mustafa M. Mustafa , Carl D. Crane , Ibrahim Hamarash

This research introduces an innovative method for adaptive traffic signal control (ATSC) through the utilization of multi-objective deep reinforcement learning (DRL) techniques. The proposed approach aims to enhance control strategies at…

机器学习 · 计算机科学 2024-08-05 Shahin Mirbakhsh , Mahdi Azizi

A suboptimal active disturbance rejection controller (S-ADRC) is proposed for second-order systems with unknown time-varying nonlinear dynamics. The output-feedback controller guarantees a global convergence to the vicinity of an optimal…

最优化与控制 · 数学 2022-06-22 Amir Shakouri , M. Reza Emami

In this paper, a new control scheme, called as additive-decomposition-based tracking control, is proposed to solve the output feedback tracking problem for a class of systems with measurable nonlinearities and unknown disturbances. By the…

适应与自组织系统 · 物理学 2020-03-10 Quan Quan , Kai-Yuan Cai , Hai Lin

This paper proposes a time-efficient attitude-tracking controller considering the slew rate constraint and control constraint. The algorithm defines the sliding surface, which is the linear combination of command, body, and regulating…

最优化与控制 · 数学 2024-08-20 Seungyeop Han , Byeong-Un Jo , Koki Ho

This paper presents a Robust Adaptive Backstepping Impedance Control (RABIC) strategy for robots operating in contact-rich and uncertain environments. The proposed control strategy considers the complete coupled dynamics of the system and…

机器人学 · 计算机科学 2026-05-20 Reza Nazmara , Alap Kshirsagar , Jan Peters , A. Pedro Aguiar

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

Mobile robots are ubiquitous. Such vehicles benefit from well-designed and calibrated control algorithms ensuring their task execution under precise uncertainty bounds. Yet, in tasks involving humans in the loop, such as elderly or mobility…

机器人学 · 计算机科学 2023-12-08 Cristian Axenie , Matteo Saveriano

This paper theoretically investigates the closed-loop performance of active disturbance rejection control (ADRC) on a third-order linear plant with relative degree 3, subject to a class of exogenous disturbances. While PID control cannot be…

系统与控制 · 电气工程与系统科学 2023-10-16 James Berneburg , Daigo Shishika , Cameron Nowzari

In this paper, the tracking control problem of a class of uncertain Euler-Lagrange systems subjected to unknown input delay and bounded disturbances is addressed. To this front, a novel delay dependent control law, referred as Adaptive…

系统与控制 · 计算机科学 2016-03-31 Spandan Roy , Indra Narayan Kar

In this work, we consider a group of robots working together to manipulate a rigid object to track a desired trajectory in $SE(3)$. The robots do not know the mass or friction properties of the object, or where they are attached to the…

机器人学 · 计算机科学 2021-08-23 Preston Culbertson , Jean-Jacques E. Slotine , Mac Schwager

Unmanned Surface Vessels (USVs) face significant control challenges due to uncertain environmental disturbances like waves and currents. This paper proposes a trajectory tracking controller based on Active Disturbance Rejection Control…

机器人学 · 计算机科学 2025-08-21 Jelmer van der Saag , Elia Trevisan , Wouter Falkena , Javier Alonso-Mora

This note briefly introduces the computed torque control method for trajectory tracking. The method is applicable to fully actuated robots, i.e, those whose inverse dynamics can be solved for any feasible acceleration. This includes many…

机器人学 · 计算机科学 2023-04-27 Lluís Ros

Quadruped robots are designed to achieve agile and robust locomotion by drawing inspiration from legged animals. However, most existing control methods for quadruped robots lack a key capacity observed in animals: the ability to exhibit…

机器人学 · 计算机科学 2026-03-10 Aoqian Zhang , Zixuan Zhuang , Chunzheng Wang , Shuzhi Sam Ge , Fan Shi , Cheng Xiang

Simultaneously accurate and reliable tracking control for quadrotors in complex dynamic environments is challenging. As aerodynamics derived from drag forces and moment variations are chaotic and difficult to precisely identify, most…

机器人学 · 计算机科学 2024-07-16 Yanran Wang , David Boyle