Convex OptimizationBased Techniques for Trajectory Design and Control of Nonlinear Systems with Polytopic Range
Abstract
:1. Introduction
1.1. Control Theory
1.2. Optimization and Trajectory Design
1.3. Contributions
 Classical control techniques, which do not account for state and control constraints;
 Lossless convexifications, which do not generate convex problems when nonlinear dynamics are present;
 Sequential convex programming, which requires the solution of many convex programs.
1.4. Outline
2. Problem and Main Result
Algorithm 1 Resetting Approach. 

3. Spherically Constrained Relative Motion Trajectory Design
3.1. Constrained Approach
3.2. Resetting Approach
4. Spacecraft Attitude Control
4.1. Constrained Approach
4.2. Resetting Approach
5. Summary and Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
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Jansson, O.; Harris, M.W. Convex OptimizationBased Techniques for Trajectory Design and Control of Nonlinear Systems with Polytopic Range. Aerospace 2023, 10, 71. https://doi.org/10.3390/aerospace10010071
Jansson O, Harris MW. Convex OptimizationBased Techniques for Trajectory Design and Control of Nonlinear Systems with Polytopic Range. Aerospace. 2023; 10(1):71. https://doi.org/10.3390/aerospace10010071
Chicago/Turabian StyleJansson, Olli, and Matthew W. Harris. 2023. "Convex OptimizationBased Techniques for Trajectory Design and Control of Nonlinear Systems with Polytopic Range" Aerospace 10, no. 1: 71. https://doi.org/10.3390/aerospace10010071