Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Hérissé, Bruno"'
This paper presents a joint optimisation framework for optimal estimation and stochastic optimal control with imperfect information. It provides a estimation and control scheme that can be decomposed into a classical optimal estimation step and an op
Externí odkaz:
http://arxiv.org/abs/2303.14155
This paper presents state estimation and stochastic optimal control gathered in one global optimization problem generating dual effect i.e. the control can improve the future estimation. As the optimal policy is impossible to compute, a sub-optimal p
Externí odkaz:
http://arxiv.org/abs/2303.14098
This paper presents a dual receding horizon output feedback controller for a general non linear stochastic system with imperfect information. The novelty of this controller is that stabilization is treated, inside the optimization problem, as a negat
Externí odkaz:
http://arxiv.org/abs/2303.14094
The goal of robust motion planning consists of designing open-loop controls which optimally steer a system to a specific target region while mitigating uncertainties and disturbances which affect the dynamics. Recently, stochastic optimal control has
Externí odkaz:
http://arxiv.org/abs/2303.01288
Statistical linearization has recently seen a particular surge of interest as a numerically cheap method for robust control of stochastic differential equations. Although it has already been successfully applied to control complex stochastic systems,
Externí odkaz:
http://arxiv.org/abs/2207.10944
This paper studies a vertical powered descent problem in the context of planetary landing, considering glide-slope and thrust pointing constraints and minimizing any final cost. In a first time, it proves the Max-Min-Max or Max-Singular-Max form of t
Externí odkaz:
http://arxiv.org/abs/2204.06794
Publikováno v:
In Systems & Control Letters July 2024 189
Publikováno v:
In IFAC PapersOnLine 2023 56(2):2001-2006
Consider a general nonlinear optimal control problem in finite dimension, with constant state and/or control delays. By the Pontryagin Maximum Principle, any optimal trajectory is the projection of a Pontryagin extremal. We establish that, under appr
Externí odkaz:
http://arxiv.org/abs/1805.11990
In this paper we develop a geometric analysis and a numerical algorithm, based on indirect methods, to solve optimal guidance of endo-atmospheric launch vehicle systems under mixed control-state constraints. Two main difficulties are addressed. First
Externí odkaz:
http://arxiv.org/abs/1710.11501