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This paper presents a novel nonlinear backstepping control law for continuous, low-thrust station-keeping in the Earth-Moon system. Quasi-periodic libration point orbits are targeted under a high-fidelity model of the dynamics. Almost…

Systems and Control · Electrical Eng. & Systems 2026-04-17 António Nunes , Sérgio Brás , Pedro Batista

Closed-loop control systems employ continuous sensing and actuation to maintain controlled variables within preset bounds and achieve the desired system output. Intentional disturbances in the system, such as in the case of cyberattacks,…

Systems and Control · Electrical Eng. & Systems 2021-06-21 Vuk Lesi , Marcio Juliato , Shabbir Ahmed , Christopher Gutierrez , Qian Wang , Manoj Sastry

In this paper, a dynamic-programming approach to the coupled translational and rotational control of thruster-driven spacecraft is studied. To reduce the complexity of the problem, dynamic-programming-based optimal policies are calculated…

Systems and Control · Electrical Eng. & Systems 2021-10-05 Abdolreza Taheri , Nima Assadian

The growing interest in space activities has led to the emergence of new space operators and innovative mission concepts. Small satellites such as CubeSats reduce mission costs and are typically deployed in constellations or formation…

Systems and Control · Electrical Eng. & Systems 2026-04-21 Alessio Bocci , José Juan Corona-Sánchez , Raymond Kristiansen

A seagull ({\it Larus crassirostris}) has a high ability to realize its safe, accurate and smooth landing. We examined how a seagull controls its angle of attack when landing on a specific target. First, we recorded the landing behavior of…

Quantitative Methods · Quantitative Biology 2019-03-19 Yuri Eisaki , Ikkyu Aihara , Isamu Hikosaka , Tohru Kawabe

We present a new stability proof for cascaded geometric control used by aerial vehicles tracking time-varying position trajectories. Our approach uses sliding variables and a recently proposed quaternion-based sliding controller to…

Systems and Control · Electrical Eng. & Systems 2026-01-01 Brett T. Lopez

This paper presents an intelligent controller for uncertain underactuated nonlinear systems. The adopted approach is based on sliding mode control and enhanced by an artificial neural network to cope with modeling inaccuracies and external…

Systems and Control · Electrical Eng. & Systems 2022-06-13 Josiane Maria de Macedo Fernande , Marcelo Costa Tanaka , Wallace Moreira Bessa , Edwin Kreuzer

This work develops a unified nonlinear estimation-guidance-control framework for cooperative simultaneous interception of a stationary target under a heterogeneous sensing topology, where sensing capabilities are non-uniform across…

Systems and Control · Electrical Eng. & Systems 2026-01-13 Lohitvel Gopikannan , Shashi Ranjan Kumar , Abhinav Sinha

This book provides a solution to the control and motion planning design for an octocopter system. It includes a particular choice of control and motion planning algorithms which is based on the authors' previous research work, so it can be…

Robotics · Computer Science 2022-12-05 Nedim Osmic , Adnan Tahirovic , Bakir Lacevic

In this work, we present Transformer-based Powered Descent Guidance (T-PDG), a scalable algorithm for reducing the computational complexity of the direct optimization formulation of the spacecraft powered descent guidance problem. T-PDG…

Optimization and Control · Mathematics 2023-12-12 Julia Briden , Trey Gurga , Breanna Johnson , Abhishek Cauligi , Richard Linares

The traditional celestial navigation system (CNS) is used the moon, stars, and planets as celestial guides. Then the star tracker (i.e. track one star or planet or angle between it) and star sensor (i.e. sense many star simultaneous) be…

General Physics · Physics 2011-02-07 Jiang Dong

We present an approach towards robust lane tracking for assisted and autonomous driving, particularly under poor visibility. Autonomous detection of lane markers improves road safety, and purely visual tracking is desirable for widespread…

Robotics · Computer Science 2017-01-31 Junaed Sattar , Jiawei Mo

Autonomous systems, such as self-driving cars and drones, have made significant strides in recent years by leveraging visual inputs and machine learning for decision-making and control. Despite their impressive performance, these…

Robotics · Computer Science 2024-10-01 Aryaman Gupta , Kaustav Chakraborty , Somil Bansal

This paper proposes a new methodology for design of a stabilizing control law for multi-input linear systems with time-varying, singular gains on the control. The results presented here assume the control gain to satisfy persistence of…

Optimization and Control · Mathematics 2014-10-17 Srikant Sukumar , Maruthi R. Akella

This work presents a novel adaptive framework for simultaneously estimating spacecraft attitude and sensor misalignment. Uncorrected star tracker misalignment can introduce significant pointing errors that compromise mission objectives in…

Systems and Control · Electrical Eng. & Systems 2025-07-29 Ridma Ganganath , Simone Servadio , David Lee

This paper investigates an uplink user equipment (UE) location and orientation estimation problem in an indoor rich-scattering environment (RSE) for a multiple-input-multiple-output (MIMO) narrowband reconfigurable intelligent surfaces…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Anum Umer , Ivo Müürsepp , Muhammad Mahtab Alam

Vision Based Navigation consists in utilizing cameras as precision sensors for GNC after extracting information from images. To enable the adoption of machine learning for space applications, one of obstacles is the demonstration that…

The Lunar Gateway is expected to be positioned on-orbit around the Moon or in a Halo orbit at the L2 Lagrange point. The proposed Lunar Gateway is a game-changer for enabling new, high-priority lunar science utilizing Cu-beSats and presents…

Instrumentation and Methods for Astrophysics · Physics 2019-04-02 Himangshu Kalita , Miguel Donayre , Victor Padilla , Anthony Riley , Jesse Samitas , Brandon Burnett , Erik Asphaug , Mark Robinson , Jekan Thangavelautham

We propose a high-level planner for a multirotor to chase a ground vehicle, while simultaneously respecting various state and input constraints. Assuming a minimal kinematic model for the ground vehicle, we use data collected online to…

Robotics · Computer Science 2019-05-24 Jaeseung Byun , Karan P. Jain , Siddharth H. Nair , Haoyun Xu , Jiaming Zha

Autonomous landing of Unmanned Aerial Vehicles on maritime vessels is challenging due to the coupled motion of the vehicle and landing platform in open-sea conditions. This paper presents a reinforcement-learning-based approach for…

Robotics · Computer Science 2026-05-25 Dimosthenis Angelis , Leonard Bauersfeld , Davide Scaramuzza , Evangelos Boukas