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Convex optimization for trajectory generation: A tutorial on generating dynamically feasible trajectories reliably and efficiently
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
autonomous dynamical systems. The goal of this article is to provide a comprehensive …
A survey on convex optimization for guidance and control of vehicular systems
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 …
operation of vehicular systems. The emergence of computational guidance and control …
Survey of convex optimization for aerospace applications
Convex optimization is a class of mathematical programming problems with polynomial
complexity for which state-of-the-art, highly efficient numerical algorithms with …
complexity for which state-of-the-art, highly efficient numerical algorithms with …
Successive convexification for real-time six-degree-of-freedom powered descent guidance with state-triggered constraints
This paper presents a real-time implementable successive convexification algorithm for a
generalized free-final-time six-degree-of-freedom powered descent guidance problem …
generalized free-final-time six-degree-of-freedom powered descent guidance problem …
Dynamic tube MPC for nonlinear systems
Modeling error or external disturbances can severely degrade the performance of Model
Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) addresses this …
Predictive Control (MPC) in real-world scenarios. Robust MPC (RMPC) addresses this …
Successive convexification: A superlinearly convergent algorithm for non-convex optimal control problems
This paper presents the SCvx algorithm, a successive convexification algorithm designed to
solve non-convex constrained optimal control problems with global convergence and …
solve non-convex constrained optimal control problems with global convergence and …
Gusto: Guaranteed sequential trajectory optimization via sequential convex programming
Sequential Convex Programming (SCP) has recently seen a surge of interest as a tool for
trajectory optimization. However, most available methods lack rigorous performance …
trajectory optimization. However, most available methods lack rigorous performance …
Minimum-fuel low-thrust transfers for spacecraft: A convex approach
This paper presents a convex approach to the numerical solution of the minimum-fuel low-
thrust orbit transfer problem. The main contribution is the transformation of the original …
thrust orbit transfer problem. The main contribution is the transformation of the original …
Fuel-optimal rocket landing with aerodynamic controls
Aerodynamic forces are not negligible for a reusable rocket returning back to Earth. How the
aerodynamic controls and propulsion should be coordinated to realize fuel-optimal precise …
aerodynamic controls and propulsion should be coordinated to realize fuel-optimal precise …
Robust low-thrust trajectory optimization using convex programming and a homotopic approach
A robust algorithm to solve the low-thrust fuel-optimal trajectory optimization problem for
interplanetary spacecraft is developed in this article. The original nonlinear optimal control …
interplanetary spacecraft is developed in this article. The original nonlinear optimal control …