1.

Record Nr.

UNINA9910720096703321

Autore

Hu Qinglei

Titolo

Intelligent Autonomous Control of Spacecraft with Multiple Constraints / / by Qinglei Hu, Xiaodong Shao, Lei Guo

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789819906819

9789819906802

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (346 pages)

Disciplina

006.3

Soggetti

Automatic control

Robotics

Automation

Aerospace engineering

Astronautics

Control, Robotics, Automation

Aerospace Technology and Astronautics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Dynamics Modelling and Preliminaries -- Anti-Unwinding Attitude Reorientation of Spacecraft with Pointing Constraints -- Adaptive Robust Control for Spacecraft Reorientation with Attitude Constraints -- Data-Driven I&I Adaptive Control for Spacecraft Constrained Slew Maneuvers -- Guaranteed Performance Attitude Tracking of Spacecraft Under Input Saturation -- Fault-Tolerant Control for Spacecraft Attitude Tracking with Full-State Constraints -- Robust Fault-Tolerant Pose Control of Spacecraft with Finite-Time Convergence -- Saturated Pose Control of Spacecraft Under Path and Line-of-Sight Constraints -- Prescribed Performance Pose Control of Spacecraft Under Motion Constraints -- I&I Adaptive Pose Control of Spacecraft Under Kinematic and Dynamic Constraints -- Composite Learning Pose Control with Parameter Convergence via Finite Excitation.

Sommario/riassunto

This book explores the intelligent autonomous control problems for spacecraft with multiple constraints, such as pointing/path constraints,



linear/angular velocity constraints, performance constraints, etc. It provides an almost self-contained presentation of dynamics modeling, controller design and analysis, as well as simulation studies. The book aims to offer a valuable guide for researchers and aerospace engineers to address the theoretical and technical difficulties in different applications, ranging from spacecraft attitude reorientation and tracking to spacecraft proximity operations, and is mainly intended for technical and engineering staff engaged in spacecraft dyanmics and control areas.

2.

Record Nr.

UNINA9910495218803321

Titolo

Cloud Computing, Big Data & Emerging Topics : 9th Conference, JCC-BD&ET, La Plata, Argentina, June 22-25, 2021, Proceedings / / edited by Marcelo Naiouf, Enzo Rucci, Franco Chichizola, Laura De Giusti

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-84825-6

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XI, 203 p. 110 illus., 85 illus. in color.)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 1444

Disciplina

004.6782

Soggetti

Computer engineering

Computer networks

Software engineering

Artificial intelligence

Microprogramming

Computer Engineering and Networks

Software Engineering

Artificial Intelligence

Control Structures and Microprogramming

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Parallel and Distributed Computing -- Machine and Deep Learning --



Big Data -- Web and Mobile Computing -- Visualization.

Sommario/riassunto

This book constitutes the revised selected papers of the 9th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2021, held in La Plata, Argentina*, in June 2021. The 12 full papers and 2 short papers presented were carefully reviewed and selected from a total of 37 submissions. The papers are organized in topical sections on parallel and distributed computing; machine and deep learning; big data; web and mobile computing; visualization.. *The conference was held virtually due to the COVID-19 pandemic.