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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 …
Advances in trajectory optimization for space vehicle control
Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
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 …
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 …
Pseudospectral convex optimization for powered descent and landing
Over the last years, two new technologies to solve optimal-control problems were
successfully developed: that is, pseudospectral optimal control and convex optimization …
successfully developed: that is, pseudospectral optimal control and convex optimization …
Failure is an option: How failure can lead to disruptive innovations
We analyze how a failure-embracing mentality can lead to disruptive innovations. Grounded
in the extensive data obtained from the study of space industry leader SpaceX and its …
in the extensive data obtained from the study of space industry leader SpaceX and its …
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 …
Convex optimization for trajectory generation
Reliable and efficient trajectory generation methods are a fundamental need for
autonomous dynamical systems of tomorrow. The goal of this article is to provide a …
autonomous dynamical systems of tomorrow. The goal of this article is to provide a …
Dual quaternion-based powered descent guidance with state-triggered constraints
This paper presents a numerical algorithm for computing six-degree-of-freedom free-final-
time powered descent guidance trajectories. The trajectory generation problem is formulated …
time powered descent guidance trajectories. The trajectory generation problem is formulated …