JOURNAL ARTICLE

Implicit pole-assignment self-tuning algorithm

A.Y. AllidinaB. KHOSROWSHAHIF.M. Hughes

Year: 1990 Journal:   International Journal of Control Vol: 51 (1)Pages: 51-70   Publisher: Taylor & Francis

Abstract

Implicit pole-assignment self-tuning algorithms are treated where the controller parameters are directly estimated from input-output data. Most algorithms based on pole-assignment are explicit schemes involving a parameter estimation and synthesis stage to obtain controller parameters. The object of the work reported here is to have an algorithm that has the robustness of pole-assignment and the simplicity of the implicit approach.

Keywords:
Robustness (evolution) Algorithm Control theory (sociology) Assignment problem Full state feedback Computer science Self-tuning Mathematics Mathematical optimization PID controller Control (management) Artificial intelligence Control engineering Engineering

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3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
6
Refs
0.18
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Extremum Seeking Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

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