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|a 10.1007/978-981-99-0681-9
|2 doi
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|a (OCoLC)1378391097
|z (OCoLC)1378292162
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|a TL3250
|b .H87 2023
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|a HCDD
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| 100 |
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|a Hu, Qinglei.
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|a Intelligent autonomous control of spacecraft with multiple constraints /
|c Qinglei Hu, Xiaodong Shao, Lei Guo.
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| 264 |
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|a Singapore :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource (346 p.)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 505 |
0 |
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|a Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Review of Spacecraft Motion Planning -- 1.1.1 Geometric Method -- 1.1.2 Artificial Potential Function Method -- 1.1.3 Discretized Method -- 1.1.4 Randomized Planning Method -- 1.1.5 Optimization-Based Method -- 1.1.6 Artificial Intelligence-Based Method -- 1.2 Review of Spacecraft Attitude and Position Control -- 1.2.1 Adaptive Control of Spacecraft -- 1.2.2 Anti-Disturbance Control of Spacecraft -- 1.2.3 Fault-Tolerant Control of Spacecraft -- 1.2.4 State-Constrained Control of Spacecraft
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| 505 |
8 |
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|a 1.2.5 Intelligent Control of Spacecraft -- 1.3 Contents of the Book -- References -- 2 Dynamics Modeling and Mathematical Preliminaries -- 2.1 Introduction -- 2.2 Notations -- 2.3 Coordinate Frames -- 2.4 Mathematical Models of Spacecraft Dynamics -- 2.4.1 Spacecraft Attitude Dynamics -- 2.4.2 Spacecraft Relative Position Dynamics -- 2.4.3 Spacecraft Relative Position-Attitude Coupled Dynamics -- 2.4.4 Dual-Quaternion-Based Spacecraft Relative Motion Dynamics -- 2.5 Lyapunov Stability Theory -- References -- 3 Data-Driven Adaptive Control for Spacecraft Constrained Reorientation
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| 505 |
8 |
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|a 3.1 Introduction -- 3.2 Problem Statement -- 3.2.1 Attitude Constraints -- 3.2.2 Angular Velocity Constraints -- 3.2.3 Problem Statement and Challenges -- 3.3 I&I Adaptive Attitude Control -- 3.3.1 Regressor Reconfiguration -- 3.3.2 I&I Adaptive Controller Design -- 3.4 Data-Driven I&I Adaptive Control -- 3.4.1 Filtered System Dynamics -- 3.4.2 Data-Driven Adaptive Extension -- 3.5 Numerical Simulations -- 3.5.1 Performance Validation -- 3.5.2 Comparison Results -- 3.5.3 Robustness Tests -- 3.6 Hardware-in-Loop Experiments -- 3.7 Summary -- References
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| 505 |
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|a 4 Learning-Based Fault-Tolerant Control for Spacecraft Constrained Reorientation Maneuvers -- 4.1 Introduction -- 4.2 Adaptive FTC for Spacecraft Constrained Reorientation -- 4.2.1 Problem Formulation -- 4.2.2 Adaptive FTC Under Attitude Constraints -- 4.2.3 Adaptive FTC Under Attitude and Angular Velocity Constraints -- 4.2.4 Numerical Simulations -- 4.3 Learning-Based Optimal FTC for Spacecraft Constrained Reorientation -- 4.3.1 Problem Formulation -- 4.3.2 Constrained Optimal FTC Design -- 4.3.3 Single-Critic NN Design and Stability Analysis -- 4.3.4 Numerical Simulations -- 4.4 Summary
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| 504 |
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|a References -- 5 Intelligent Fault Diagnosis and Fault-Tolerant Control of Spacecraft -- 5.1 Introduction -- 5.2 Preliminaries -- 5.3 Disturbance Observation Scheme -- 5.4 Fault Diagnosis Scheme -- 5.4.1 Fault Diagnosis Using Addaptive Estimator -- 5.4.2 Fault Diagnosis Using Neural Network -- 5.5 Fault-Tolerant Control -- 5.6 Numerical Simulation -- 5.6.1 Disturbances Model -- 5.6.2 Simulation Conditions -- 5.6.3 Simulation of Disturbance Observation Scheme -- 5.6.4 Simulation of Fault Diagnosis Scheme -- 5.6.5 Simulation of Fault-Tolerant Control Scheme -- 5.7 Summary -- References
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| 500 |
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|a 6 Reinforcement Learning-Based Dynamic Control Allocation for Spacecraft Attitude Stabilization
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| 520 |
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|a 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.
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| 504 |
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|a Includes bibliographical references.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed May 16, 2023).
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| 650 |
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|a Space vehicles
|x Automatic control.
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| 650 |
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0 |
|a Intelligent agents (Computer software)
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| 650 |
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|a Constraints (Artificial intelligence)
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| 650 |
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7 |
|a Constraints (Artificial intelligence)
|2 fast
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| 650 |
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7 |
|a Intelligent agents (Computer software)
|2 fast
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| 650 |
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|a Space vehicles
|x Automatic control
|2 fast
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| 700 |
1 |
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|a Shao, Xiaodong.
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| 700 |
1 |
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|a Guo, Lei.
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| 776 |
0 |
8 |
|i Print version:
|a Hu, Qinglei
|t Intelligent Autonomous Control of Spacecraft with Multiple Constraints
|d Singapore : Springer,c2023
|z 9789819906802
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| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-99-0681-9
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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