Q-Learning for Continuous-Time Linear Systems: A Data-Driven Implementation of the Kleinman Algorithm

Author:

Possieri Corrado1ORCID,Sassano Mario2ORCID

Affiliation:

1. Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti,” Consiglio Nazionale delle Ricerche, Rome, Italy

2. Dipartimento di Ingegneria Civile e Ingegneria Informatica, Università di Roma Tor Vergata, Rome, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Efficient Off-Policy Reinforcement Learning Algorithm for the Continuous-Time LQR Problem;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Distributed adaptive optimization for microgrids;International Journal of Robust and Nonlinear Control;2023-10-12

3. Finite‐horizon H∞ tracking control for discrete‐time linear systems;International Journal of Robust and Nonlinear Control;2023-08-25

4. Value iteration via output feedback for LQ optimal control of SISO systems*;IFAC-PapersOnLine;2023

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