TY - GEN
T1 - Cumulative retrospective cost adaptive control with RLS-based optimization
AU - Hoagg, Jesse B.
AU - Bernstein, Dennis S.
PY - 2010
Y1 - 2010
N2 - We present a discrete-time adaptive control algorithm that is effective for multi-input, multi-output systems that are either minimum phase or nonminimum phase. The adaptive control algorithm requires limited model information, specifically, the first nonzero Markov parameter and the nonminimum-phase zeros of the transfer function from the control signal to the performance measurement. Furthermore, the adaptive control algorithm is effective for stabilization as well as command following and disturbance rejection, where the command and disturbance spectrum is unknown. The novel aspect of this adaptive controller is the use of a retrospective performance function which is optimized using a recursive least-squares algorithm.
AB - We present a discrete-time adaptive control algorithm that is effective for multi-input, multi-output systems that are either minimum phase or nonminimum phase. The adaptive control algorithm requires limited model information, specifically, the first nonzero Markov parameter and the nonminimum-phase zeros of the transfer function from the control signal to the performance measurement. Furthermore, the adaptive control algorithm is effective for stabilization as well as command following and disturbance rejection, where the command and disturbance spectrum is unknown. The novel aspect of this adaptive controller is the use of a retrospective performance function which is optimized using a recursive least-squares algorithm.
UR - http://www.scopus.com/inward/record.url?scp=77957796501&partnerID=8YFLogxK
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U2 - 10.1109/acc.2010.5530434
DO - 10.1109/acc.2010.5530434
M3 - Conference contribution
AN - SCOPUS:77957796501
SN - 9781424474264
T3 - Proceedings of the 2010 American Control Conference, ACC 2010
SP - 4016
EP - 4021
BT - Proceedings of the 2010 American Control Conference, ACC 2010
ER -