Direct methods are well known to have a large convergence rate in the solution of optimal control problems and thanks to the availability of efficient Non-Linear Programming (NLP) algorithms that are widely adopted. Additionally, it has been proved that thanks to the Covector Mapping Principle (CMP) there is essentially no distinction between direct and indirect methods when Pseudo Spectral collocation is used. In this work, inspired by CMP, a map is proposed to connect the discretized equations of the indirect method with those resulting from the direct transcription with the same trapezoidal scheme. The indirect method will benefit this new formulation since it can adopt the same regularization techniques typically implemented in direct approaches while still maintaining the explicit solution of the control as a function of the states and co-states in a bi-level optimization solution strategy. Finally, the proposed mapping is also derived for the implicit dynamics.

Direct methods are well known to have a large convergence rate in the solution of optimal control problems and thanks to the availability of efficient Non-Linear Programming (NLP) algorithms that are widely adopted. Additionally, it has been proved that thanks to the Covector Mapping Principle (CMP) there is essentially no distinction between direct and indirect methods when Pseudo Spectral collocation is used. In this work, inspired by CMP, a map is proposed to connect the discretized equations of the indirect method with those resulting from the direct transcription with the same trapezoidal scheme. The indirect method will benefit this new formulation since it can adopt the same regularization techniques typically implemented in direct approaches while still maintaining the explicit solution of the control as a function of the states and co-states in a bi-level optimization solution strategy. Finally, the proposed mapping is also derived for the implicit dynamics.

A Direct/Indirect Approach to Optimal Control Problems / Bertolazzi, Enrico; Biral, Francesco. - ELETTRONICO. - 14477:(2025), pp. 47-62. ( NUMTA 2023 Pizzo Calabro, Italy 14-20 June) [10.1007/978-3-031-81244-6_4].

A Direct/Indirect Approach to Optimal Control Problems

Enrico Bertolazzi
;
Francesco Biral
2025-01-01

Abstract

Direct methods are well known to have a large convergence rate in the solution of optimal control problems and thanks to the availability of efficient Non-Linear Programming (NLP) algorithms that are widely adopted. Additionally, it has been proved that thanks to the Covector Mapping Principle (CMP) there is essentially no distinction between direct and indirect methods when Pseudo Spectral collocation is used. In this work, inspired by CMP, a map is proposed to connect the discretized equations of the indirect method with those resulting from the direct transcription with the same trapezoidal scheme. The indirect method will benefit this new formulation since it can adopt the same regularization techniques typically implemented in direct approaches while still maintaining the explicit solution of the control as a function of the states and co-states in a bi-level optimization solution strategy. Finally, the proposed mapping is also derived for the implicit dynamics.
2025
Numerical Computations: Theory and Algorithms. NUMTA 2023. Lecture Notes in Computer Science
Gewerbestrasse 11, 6330 Cham, Switzerland
Springer, Cham
9783031812439
9783031812446
Bertolazzi, Enrico; Biral, Francesco
A Direct/Indirect Approach to Optimal Control Problems / Bertolazzi, Enrico; Biral, Francesco. - ELETTRONICO. - 14477:(2025), pp. 47-62. ( NUMTA 2023 Pizzo Calabro, Italy 14-20 June) [10.1007/978-3-031-81244-6_4].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/442970
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