Prospects on Solving an Optimal Control Problem with Bounded Uncertainties on Parameters using Interval Arithmetics

An interval method based on the Pontryagin Minimum Principle is proposed to enclose the solutions of an optimal control problem with embedded bounded uncertainties. This method is used to compute an enclosure of all optimal trajectories of the problem, as well as open loop and closed loop enclosures meant to enclose a concrete system using an optimal control regulator with inaccurate knowledge of the parameters. The differences in geometry of these enclosures are exposed, as well as some applications. For instance guaranteeing that the given optimal control problem will yield a satisfactory trajectory for any realization of the uncertainties or on the contrary that the problem is unsuitable and needs to be adjusted.

[1]  Matthias Althoff,et al.  Reachability Analysis and its Application to the Safety Assessment of Autonomous Cars , 2010 .

[2]  Eric Bourgeois,et al.  Optimal guidance for toss back concepts of Reusable Launch Vehicles , 2019 .

[3]  Andreas Rauh,et al.  Interval Methods for Optimal Control , 2009 .

[4]  H. Zidani,et al.  Solving chance constrained optimal control problems in aerospace via kernel density estimation , 2018, Optimal Control Applications and Methods.

[5]  Julien Alexandre Dit Sandretto,et al.  Validated Explicit and Implicit Runge-Kutta Methods , 2016 .

[6]  Emmanuel Trélat,et al.  Contrôle optimal : théorie & applications , 2005 .

[7]  Emmanuel Trélat,et al.  Optimal Control and Applications to Aerospace: Some Results and Challenges , 2012, Journal of Optimization Theory and Applications.

[8]  Alex M. Andrew,et al.  Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics , 2002 .

[9]  E. Hofer,et al.  Interval Techniques for Design of Optimal and Robust Control Strategies , 2006, 12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2006).

[10]  J. Butcher Coefficients for the study of Runge-Kutta integration processes , 1963, Journal of the Australian Mathematical Society.

[11]  Luc Jaulin,et al.  Applied Interval Analysis , 2001, Springer London.

[12]  E. Trélat,et al.  Singular Arcs in the Generalized Goddard’s Problem , 2007, math/0703911.