H∞ robust generalized minimum variance self-tuning controller

2005 ◽  
pp. 43-60
Author(s):  
M. J. Grimble
Keyword(s):  
Minimum Variance ◽  
Self Tuning

scholarly journals Design of Self-Tuning Regulator for Large-Scale Interconnected Hammerstein Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Mourad Elloumi ◽  
Samira Kamoun
Keyword(s):  
Large Scale ◽  
Recursive Algorithm ◽  
Minimum Variance ◽  
Parametric Estimation ◽  
Hammerstein Model ◽  
Stochastic Nonlinear Systems ◽  
Hydraulic Systems ◽  
Self Tuning ◽  
Variance Approach ◽  
Error Method

This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems, which are composed of several interconnected nonlinear monovariable subsystems. Each interconnected subsystem is described by discrete Hammerstein model with unknown and time-varying parameters. This self-tuning control is developed on the basis of the minimum variance approach and is combined by a recursive algorithm in the estimation step. The parametric estimation step is performed on the basis of the prediction error method and the least-squares techniques. Simulation results of the proposed self-tuning regulator for two interconnected nonlinear hydraulic systems show the reliability and effectiveness of the developed method.

scholarly journals Wiener Filter Based Minimum Variance Self-Tuning Regulation

1996 ◽  
Vol 29 (1) ◽  
pp. 5174-5179
Author(s):  
Roberto Horowitz ◽  
Bo Li ◽  
James McCormick
Keyword(s):  
Wiener Filter ◽  
Minimum Variance ◽  
Self Tuning
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