Discrete-time learning control algorithm for a class of nonlinear systems
Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. The author investigates the robustness of the algorithm to state disturbance, measurement noise and reinitialization errors. Then, the author proves that the input and the state variables will always be...
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| Format: | conferenceObject |
| Published: |
1995
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| Online Access: | http://hdl.handle.net/10725/11207 https://doi.org/10.1109/ACC.1995.532347 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/532347 |
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