Averaging analysis for discrete time and sampled data adaptive systems

E.-W Bai; L.-C Fu; S.S Sastry

doi:10.1109/31.1715

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Journal article

Averaging analysis for discrete time and sampled data adaptive systems

E.-W Bai, L.-C Fu and S.S Sastry

IEEE transactions on circuits and systems, Vol.35(2), pp.137-148

02/1988

DOI: 10.1109/31.1715

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Abstract

Earlier continuous-time averaging theorems are extended to the nonlinear discrete-time case. These theorems are applied to the study of the convergence analysis of discrete-time adaptive identification and control systems. Instability theorems are also derived for the study of robust stability and instability of adaptive control schemes applied to sampled data systems. As a byproduct, the effects of sampling are also studied on unmodeled dynamics in continuous-time systems.< >

Control Systems

Programmable control

Adaptive systems

Robust stability

Discrete time systems

Continuous time systems

Sampling methods

Adaptive control

Least squares methods

Convergence

Details

Title: Subtitle: Averaging analysis for discrete time and sampled data adaptive systems
Creators: E.-W Bai - Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
L.-C Fu - Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
S.S Sastry - Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Resource Type: Journal article
Publication Details: IEEE transactions on circuits and systems, Vol.35(2), pp.137-148
Publisher: IEEE
DOI: 10.1109/31.1715
ISSN: 0098-4094
eISSN: 1558-1276
Language: English
Date published: 02/1988
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083855502771

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