Inverse optimal control of stochastic systems driven by Lévy processes. (September 2019)
- Record Type:
- Journal Article
- Title:
- Inverse optimal control of stochastic systems driven by Lévy processes. (September 2019)
- Main Title:
- Inverse optimal control of stochastic systems driven by Lévy processes
- Authors:
- Do, K.D.
- Abstract:
- Abstract: This paper formulates and solves new problems of inverse optimal stabilization and inverse optimal gain assignment for stochastic nonlinear systems driven by Lévy processes. First, a theorem is developed to design inverse optimal stabilizers based on inverse pre-optimal stabilization controllers for stochastic systems with known noise characteristics, where it does not require to solve a Hamilton–Jacobi–Bellman equation. Second, another theorem is developed to design inverse optimal gain assignment controllers for stochastic systems with unknown noise characteristics, where there is no need to solve a Hamilton–Jacobi–Isaacs equation. Third, the results are applied to design inverse optimal stabilizers for Euler–Lagrange systems.
- Is Part Of:
- Automatica. Volume 107(2019)
- Journal:
- Automatica
- Issue:
- Volume 107(2019)
- Issue Display:
- Volume 107, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 107
- Issue:
- 2019
- Issue Sort Value:
- 2019-0107-2019-0000
- Page Start:
- 539
- Page End:
- 550
- Publication Date:
- 2019-09
- Subjects:
- Lyapunov-type theorem -- Well-posedness -- Inverse optimality -- Almost sure stability -- Lévy processes
Automatic control -- Periodicals
Automation -- Periodicals
629.805 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00051098 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.automatica.2019.06.016 ↗
- Languages:
- English
- ISSNs:
- 0005-1098
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1829.450000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11162.xml