Cumulative retrospective cost adaptive control with RLS-based optimization

Jesse B. Hoagg, Dennis S. Bernstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations


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.

Original languageEnglish
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
Number of pages6
StatePublished - 2010

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

ASJC Scopus subject areas

  • Control and Systems Engineering


Dive into the research topics of 'Cumulative retrospective cost adaptive control with RLS-based optimization'. Together they form a unique fingerprint.

Cite this