A Survey on Convex Optimization for Guidance and Control of Vehicular Systems
Zhenbo Wang

TL;DR
This survey reviews recent advances in convex optimization techniques applied to guidance and control of various vehicular systems, highlighting applications in space, air, and ground vehicles, and discussing future research directions.
Contribution
It provides a comprehensive overview of convex optimization methods for vehicular guidance and control, emphasizing recent developments and cross-domain applications.
Findings
Convex optimization enables real-time optimal guidance solutions.
Applications span space, air, and ground vehicles with tailored convexification techniques.
The survey identifies open challenges and future research opportunities.
Abstract
Guidance and control (G&C) technologies play a central role in the development and operation of vehicular systems. The emergence of computational guidance and control (CG&C) and highly efficient numerical algorithms has opened up the great potential for solving complex constrained G&C problems onboard, enabling higher level of autonomous vehicle operations. In particular, convex-optimization-based G&C has matured significantly over the years and many advances continue to be made, allowing the generation of optimal G&C solutions in real-time for many vehicular systems in aerospace, automotive, and other domains. In this paper, we review recent major advances in convex optimization and convexification techniques for G&C of vehicular systems, focusing primarily on three important application fields: 1) Space vehicles for powered descent guidance, small body landing, rendezvous and…
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Taxonomy
TopicsSpacecraft Dynamics and Control · Robotic Path Planning Algorithms · Space Satellite Systems and Control
