JOURNAL ARTICLE

An implicit pole‐assignment self‐tuning regulator

Khalid KaramKevin WarwickM. Farsi

Year: 1986 Journal:   Optimal Control Applications and Methods Vol: 7 (2)Pages: 127-134   Publisher: Wiley

Abstract

Abstract A new self‐tuning implicit pole‐assignment algorithm is presented which, through the use of a pole compression factor and different RLS model and control structures, overcomes stability and convergence problems encountered in previously available algorithms. Computational requirements of the technique are much reduced when compared to explicit pole‐assignment schemes, whereas the inherent robustness of the strategy is retained.

Keywords:
Robustness (evolution) Control theory (sociology) Convergence (economics) Computer science Regulator Stability (learning theory) Full state feedback Algorithm Control (management) Artificial intelligence

Metrics

2
Cited By
0.70
FWCI (Field Weighted Citation Impact)
7
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Numerical methods for differential equations
Physical Sciences →  Mathematics →  Numerical Analysis

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