New robust adaptive control system using multiple regularization parameters

H. Ohmori, A. Sano

Research output: Contribution to journalConference articlepeer-review


The design of a discrete-time model reference robust adaptive control system for a plant in the presence of bounded disturbances is investigated. The system uses a robust adaptive algorithm with multiple regularization parameters. This algorithm belongs to the class of leaky integration methods; thus the designed regularization parameters correspond to σ in the σ-modification approach. It is shown how to determine these regularization parameters theoretically such that minimization of the parameter error is attained in the presence of the disturbances, and it is not necessary for the upper bound of the disturbances to be known a priori. Furthermore, persistent spanning is ensured, regardless of the size of the disturbance.

Original languageEnglish
Pages (from-to)2163-2169
Number of pages7
JournalProceedings of the IEEE Conference on Decision and Control
Publication statusPublished - 1990 Jan 1
EventProceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6) - Honolulu, HI, USA
Duration: 1990 Dec 51990 Dec 7

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization


Dive into the research topics of 'New robust adaptive control system using multiple regularization parameters'. Together they form a unique fingerprint.

Cite this