Fast Adaptive Laws for Adaptive Control Under Stochastic Disturbances
In this work, we consider two classes of adaptive laws for the adaptive control of a class of discrete-time nonlinear systems with all states accessible perturbed by a stochastic disturbance. First, we consider high-order tuner algorithms based on accelerated gradient methods for the optimization of...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151944 |