Model-Based Policy Iterations for Nonlinear Systems via Controlled Hamiltonian Dynamics-Reference-Cited by-同舟云学术

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Model-Based Policy Iterations for Nonlinear Systems via Controlled Hamiltonian Dynamics

Published:2023-05 Issue:5 Volume:68 Page:2683-2698
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Sassano Mario¹^ORCID,Mylvaganam Thulasi²^ORCID,Astolfi Alessandro³^ORCID

Affiliation:

1. Dipartimento di Ingegneria Civile ed Ingegneria Informatica, Università di Roma Tor Vergata, Roma, Italy

2. Department of Aeronautics, Imperial College London, London, U.K.

3. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/10109211/09858606.pdf?arnumber=9858606

Reference30 articles.

1. An algebraic approach to dynamic optimisation of nonlinear systems: a survey and some new results

2. Adaptive dynamic programming

3. Design of nonlinear automatic flight control systems

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1. Feedback Nash Equilibrium Solutions of Two-Player LQ Differential Games: Synthesis and Analysis via a State/Costate Interpretation;IEEE Control Systems Letters;2024

2. A Physics-Informed Neural Networks Framework to Solve the Infinite-Horizon Optimal Control Problem;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems;Journal of Manufacturing Systems;2023-12

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