Approximate neural optimal control with reinforcement learning for a torsional pendulum device
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Publication:2185597
DOI10.1016/j.neunet.2019.04.026zbMath1443.93052OpenAlexW2946545621WikidataQ92297374 ScholiaQ92297374MaRDI QIDQ2185597
Publication date: 5 June 2020
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2019.04.026
Feedback control (93B52) Nonlinear systems in control theory (93C10) Control of mechanical systems (70Q05) Existence theories for optimal control problems involving ordinary differential equations (49J15) Control/observation systems governed by ordinary differential equations (93C15)
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Cites Work
- Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
- Adaptive dynamic programming and optimal control of nonlinear nonaffine systems
- Adaptive critic control with robust stabilization for uncertain nonlinear systems
- Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances
- Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties
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