TY - GEN
T1 - Lyapunov-based integration of a data recording algorithm in adaptive control
AU - Chowdhary, Girish
AU - Johnson, Eric N.
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Recently we have developed concurrent learning model reference adaptive controllers which use recorded data concurrently with current data and can guarantee exponential stability of the closed loop without requiring persistency of excitation. The rate of convergence of these controllers is dependent on the quality of the recorded data, particularly the minimum singular value of the matrix containing the recorded states. In this paper, we use a Lyapunov framework to integrate a singular value maximizing data recording algorithm with concurrent learning adaptive controllers.
AB - Recently we have developed concurrent learning model reference adaptive controllers which use recorded data concurrently with current data and can guarantee exponential stability of the closed loop without requiring persistency of excitation. The rate of convergence of these controllers is dependent on the quality of the recorded data, particularly the minimum singular value of the matrix containing the recorded states. In this paper, we use a Lyapunov framework to integrate a singular value maximizing data recording algorithm with concurrent learning adaptive controllers.
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M3 - Conference contribution
SN - 9781600869525
T3 - AIAA Guidance, Navigation, and Control Conference 2011
BT - AIAA Guidance, Navigation, and Control Conference 2011
T2 - AIAA Guidance, Navigation and Control Conference 2011
Y2 - 8 August 2011 through 11 August 2011
ER -