Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
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Implementation of ADP algorithms is usually based on periodic selection.
“The implementation of ADP algorithms is usually based on periodic selection [30].”
From Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach (2023) · cites this paper as [30]
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- Authors
- Gao, W., Jiang, Y., Jiang, Z.-P., & Chai, T.
- Affiliations
- New York University (US)
- State Key Laboratory of Synthetical Automation for Process Industries (CN)
- Corresponding author
- Gao, Weinan
- Jiang, Yu
- Jiang, Zhong-Ping
- Chai, Tianyou
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 72
- Pages
- 37-45
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2498677259
- Cited by
- 234
- References
- 56
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 14 · 2023: 22 · 2022: 21 · 2021: 26 · 2020: 39 · 2019: 29 · 2018: 24 · 2017: 31 · 2016: 5
- FWCI
- 27.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Automatica (acceptedVersion)
- Funders
- National Natural Science Foundation of China (B08015, 61374042)
- National Science Foundation (ECCS-1501044)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Adaptive Dynamic Programming Control
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Keywords
- output feedback control, adaptive dynamic programming, robust adaptive control, interconnected systems, sampled-data systems, policy iteration, value iteration, small-gain condition, global asymptotic stability, power systems
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