Data-Driven Suboptimal Control for Nonlinear Systems Using State-Dependent Riccati Equation
Author:
Affiliation:
1. Beijing Normal University,Advanced Institute of Natural Sciences,Zhuhai,China
2. Henan University of Urban Construction,Law School,Pingdingshan,China
3. Beijing Normal University,School of Systems Science,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945300.pdf?arnumber=9945300
Reference25 articles.
1. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems
2. Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems
3. Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design
4. Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
5. Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach
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