Concurrent learning for convergence in adaptive control without persistency of excitation
Model Reference Adaptive Control (MRAC) is a widely studied adaptive control methodology that aims to ensure that a nonlinear plant with significant modeling uncertainty behaves like a chosen reference model. MRAC methods attempt to achieve this by representing the modeling uncertainty as a weighted...
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Georgia Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1853/37243 |