New Trends and Challenges in Optimization Theory Applied to Space Engineering
New Trends and Challenges in Optimization Theory Applied to Space Engineering
OTSE Conference Proceedings, 13-15 December 2023, L'Aquila (Italy)
Celletti, Alessandra; Cannarsa, Piermarco; Mazzini, Leonardo; Pontani, Mauro; Trelat, Emmanuel; Fasano, Giorgio
Springer International Publishing AG
03/2025
250
Dura
9783031812521
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- Manifold dynamics, trajectory design, and control aspects.
.- Pontryagin's Principle for the Optimization of Escape Trajectories from Earth-Moon L2.
.- AI techniques in guidance control problem and space missions.
.- On Emerging Guidance Control Problems in the Satellite Industry.
.- Artificial Intelligence Algorithm for Space Missions.
.- Optimization techniques for constellations with applications in space operations.
.- An Integer Linear Programming Model for Earth Observation Missions.
.- In-orbit Servicing and Assisted Orbit Transfer Mission Planning.
.- Multi-stage control for launcher and landing problems.
.- Preliminary End-to-End Lunar Mission Design using Direct Optimization Method.
.- Optimal control for the moon lander: the classical problem and variants.
.- Optimal control problems in the presence of uncertain parameters.
.- Robust Minimum-fuel orbit transfers taking into account thruster under-performance.
.- Improved sufficient and necessary conditions in optimal control problems for aerospace problems.
.- Optimal Feedback Control of Astrodynamic Systems Using Solutions of the Hamilton-Jacobi-Bellman Equation.
.- Second-order sufficient conditions for weak local minima: general control constraints.
.- Multi-arc Spacecraft Trajectory Optimization.
.- Manifold dynamics, trajectory design, and control aspects.
.- Pontryagin's Principle for the Optimization of Escape Trajectories from Earth-Moon L2.
.- AI techniques in guidance control problem and space missions.
.- On Emerging Guidance Control Problems in the Satellite Industry.
.- Artificial Intelligence Algorithm for Space Missions.
.- Optimization techniques for constellations with applications in space operations.
.- An Integer Linear Programming Model for Earth Observation Missions.
.- In-orbit Servicing and Assisted Orbit Transfer Mission Planning.
.- Multi-stage control for launcher and landing problems.
.- Preliminary End-to-End Lunar Mission Design using Direct Optimization Method.
.- Optimal control for the moon lander: the classical problem and variants.
.- Optimal control problems in the presence of uncertain parameters.
.- Robust Minimum-fuel orbit transfers taking into account thruster under-performance.
.- Improved sufficient and necessary conditions in optimal control problems for aerospace problems.
.- Optimal Feedback Control of Astrodynamic Systems Using Solutions of the Hamilton-Jacobi-Bellman Equation.
.- Second-order sufficient conditions for weak local minima: general control constraints.
.- Multi-arc Spacecraft Trajectory Optimization.