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This work provides a framework for nonlinear model-free control of systems with unknown input-output dynamics, but outputs that can be controlled by the inputs. This framework leads to real-time control of the system such that a feasible…

系统与控制 · 电气工程与系统科学 2019-08-13 Amit K. Sanyal

This paper proposes a real-time neural network (NN) stochastic filter-based controller on the Lie Group of the Special Orthogonal Group $SO(3)$ as a novel approach to the attitude tracking problem. The introduced solution consists of two…

系统与控制 · 电气工程与系统科学 2022-06-28 Hashim A. Hashim , Kyriakos G. Vamvoudakis

This paper presents a dual receding horizon output feedback controller for a general non linear stochastic system with imperfect information. The novelty of this controller is that stabilization is treated, inside the optimization problem,…

最优化与控制 · 数学 2023-03-27 Emilien Flayac , Karim Dahia , Bruno Hérissé , Frédéric Jean

The quadrotor is a $6$ degrees-of-freedom (DoF) system with underactuation. Adding a spherical pendulum on top of a quadrotor further complicates the task of achieving any output tracking while stabilizing the rest. In this report, we…

机器人学 · 计算机科学 2023-08-08 Xichen Shi , Yashwanth Kumar Nakka

This paper proposes a robust disturbance observer framework for maritime autonomous surface vessels considering model and measurement uncertainties. The core contribution lies in a nonlinear disturbance observer, reconstructing the forces…

系统与控制 · 电气工程与系统科学 2024-03-29 Daniel Menges , Adil Rasheed

This paper presents a new Lyapunov-based nonlinear model predictive controller (LNMPC) for the attitude control problem of unmanned aerial vehicles (UAVs), which is essential for their functioning operation. The controller is designed based…

系统与控制 · 电气工程与系统科学 2023-01-02 Duy Nam Bui , Thi Thanh Van Nguyen , Manh Duong Phung

This paper presents a novel nonlinear disturbance rejection control for hydraulic robots. This method requires two third-order filters as well as inverse dynamics in order to estimate the disturbances. All the parameters for the third-order…

机器人学 · 计算机科学 2020-05-05 Peng Lu , Timothy Sandy , Jonas Buchli

In order to further expand the flight envelope of quadrotors under actuator failures, we design a nonlinear sensor-based fault-tolerant controller to stabilize a quadrotor with failure of two opposing rotors in the high-speed flight…

机器人学 · 计算机科学 2020-10-28 Sihao Sun , Xuerui Wang , Qiping Chu , Coen de Visser

This study introduces a novel methodology for controlling Quadrotor Unmanned Aerial Vehicles, focusing on Hierarchical Sliding Mode Control strategies and an Extended Kalman Filter. Initially, an EKF is proposed to enhance robustness in…

系统与控制 · 电气工程与系统科学 2025-04-07 Van Chung Nguyen , Hung Manh La

The introduction of unexpected system disturbances and new system dynamics does not allow guaranteed continuous system stability. In this research we present a novel approach for detecting early failure indicators of non-linear highly…

系统与控制 · 电气工程与系统科学 2021-11-02 Amr Mahmoud , Youmna Ismaeil , Mohamed Zohdy

In this paper, synchronization of fractional order Coullet system with precise and also unknown parameters are studied. The proposed method which is based on the adaptive backstepping, has been developed to synchronize two chaotic systems…

混沌动力学 · 物理学 2012-06-12 T. M. Shahiri , A. Ranjbar , R. Ghaderi , M. Karami , S. H. Hosseinnia

This paper presents a trajectory-tracking controller for multi-rotor unmanned aerial vehicles (UAVs) in scenarios where only the desired position and heading are known without the higher-order derivatives. The proposed solution modifies the…

系统与控制 · 电气工程与系统科学 2023-11-14 Yogesh Kumar , S. B. Roy , P. B. Sujit

A major challenge in autonomous flights is unknown disturbances, which can jeopardize safety and lead to collisions, especially in obstacle-rich environments. This paper presents a disturbance-aware motion planning and control framework…

In this work, we address the output--feedback control problem for nonlinear systems under bounded disturbances using a moving horizon approach. The controller is posed as an optimization-based problem that simultaneously estimates the state…

系统与控制 · 电气工程与系统科学 2024-09-23 Nestor N. Deniz , Guido Sanchez , Marina H. Murillo , Leonardo L. Giovanini

This article aims to derive a practical tracking control algorithm for flexible air-breathing hypersonic vehicles (FAHVs) with lumped disturbances, unmeasurable states and actuator failures. Based on the framework of the backstepping…

系统与控制 · 电气工程与系统科学 2025-04-15 Tianlong Zhao , Fei Hao

This paper investigates the application of a Model Predictive Controller (MPC) for the cruise control system of a quadrotor, focusing on hovering point stabilization and reference tracking. Initially, a full-state-feedback MPC is designed…

系统与控制 · 电气工程与系统科学 2025-04-21 Zekai Chen , Leon Kehler

If embedded with command filter properly, the implementation of backstepping design could be dramatically simplified. In this paper, we introduce a command filter with time-varying gain and integrate it with backstepping design, resulting…

系统与控制 · 电气工程与系统科学 2022-01-11 Hefu Ye , Yongduan Song

This work addresses the practical problem of distributed formation tracking control of a group of quadrotor vehicles in a relaxed sensing graph topology with a very limited sensor set, where only one leader vehicle can access the global…

系统与控制 · 电气工程与系统科学 2026-01-21 S. Doodeman , Z. Tang , M. Jacinto , R. Cunha , C. Silvestre

Flying quadrotors in tight formations is a challenging problem. It is known that in the near-field airflow of a quadrotor, the aerodynamic effects induced by the propellers are complex and difficult to characterize. Although machine…

机器人学 · 计算机科学 2024-10-15 Kong Yao Chee , Pei-An Hsieh , George J. Pappas , M. Ani Hsieh

Recently developed control methods with strong disturbance rejection capabilities provide a useful option for control design. The key lies in a general concept of disturbance and effective ways to estimate and compensate the disturbance.…

最优化与控制 · 数学 2018-01-19 Wuhua Hu , Eduardo F. Camacho , Lihua Xie