Averaging analysis for discrete time and sampled data adaptive systems

Li-chen Fu; Er-wei Bai; Shankar S Sastry

doi:10.1109/CDC.1986.267103

Back

Conference proceeding

Averaging analysis for discrete time and sampled data adaptive systems

Li-chen Fu, Er-wei Bai and Shankar S Sastry

1986 25th IEEE Conference on Decision and Control, pp.1411-1416

12/1986

DOI: 10.1109/CDC.1986.267103

View Online

Abstract

We extend our earlier continuous time averaging theorems to the nonlinear discrete time case. We use theorems for the study of the convergence analysis of discrete time adaptive identification and control systems. We also derive instability theorems and use them for the study of robust stability and instability of adaptive control schemes applied to sampled data systems. As a by product we also study the effects of sampling on unmodeled dynamics in continuous time systems.

Computer Science

Control Systems

Adaptive control

Adaptive systems

Convergence

Laboratories

Programmable control

Robust control

Sampled data systems

Sampling methods

Details

Title: Subtitle: Averaging analysis for discrete time and sampled data adaptive systems
Creators: Li-chen Fu - University of Berkeley, Berkeley, CA
Er-wei Bai - University of Berkeley, Berkeley, CA
Shankar S Sastry - University of California, Berkeley
Resource Type: Conference proceeding
Publication Details: 1986 25th IEEE Conference on Decision and Control, pp.1411-1416
Publisher: IEEE
DOI: 10.1109/CDC.1986.267103
ISSN: 0191-2216
Language: English
Date published: 12/1986
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197191002771

Metrics

25 Record Views