Linear and non-linear adaptive control of alcoholic fermentation process: Experimental results

1993 ◽  
Vol 7 (3) ◽  
pp. 213-233 ◽  
Author(s):  
B. Dahhou ◽  
G. Roux ◽  
A. Cheruy
Keyword(s):  
Adaptive Control ◽  
Fermentation Process ◽  
Alcoholic Fermentation ◽  
Experimental Results ◽  
Non Linear ◽  
Linear Adaptive Control

Non-linear adaptive control of fermentation processes utilizing a priori modelling knowledge

1992 ◽  
Vol 2 (3) ◽  
pp. 129-138 ◽  
Author(s):  
Michael Ramseier ◽  
Pramod Agrawal ◽  
Duncan A. Mellichamp
Keyword(s):  
Adaptive Control ◽  
A Priori ◽  
Fermentation Processes ◽  
Non Linear ◽  
Linear Adaptive Control

Power system non-linear adaptive control

1991 ◽  
Vol 22 (3) ◽  
pp. 235-242 ◽  
Author(s):  
V. Veselý ◽  
D. Mudronc̆ík
Keyword(s):  
Adaptive Control ◽  
Power System ◽  
Non Linear ◽  
Linear Adaptive Control

scholarly journals Non-linear multivariable predictive control of an alcoholic fermentation process using functional link networks

2005 ◽  
Vol 48 (spe) ◽  
pp. 7-18 ◽  
Author(s):  
Luiz Augusto da Cruz Meleiro ◽  
Aline Carvalho da Costa ◽  
Rubens Maciel Filho
Keyword(s):  
Fermentation Process ◽  
Alcoholic Fermentation ◽  
Linear Optimization ◽  
Simulated Data ◽  
Linear Processes ◽  
Functional Link ◽  
Fast Training ◽  
Non Linear ◽  
Good Potential ◽  
And Control

In this work a MIMO non-linear predictive controller was developed for an extractive alcoholic fermentation process. The internal model of the controller was represented by two MISO Functional Link Networks (FLNs), identified using simulated data generated from a deterministic mathematical model whose kinetic parameters were determined experimentally. The FLN structure presents as advantages fast training and guaranteed convergence, since the estimation of the weights is a linear optimization problem. Besides, the elimination of non-significant weights generates parsimonious models, which allows for fast execution in an MPC-based algorithm. The proposed algorithm showed good potential in identification and control of non-linear processes.

Non-linear adaptive control of a heat exchanger

2001 ◽  
Vol 15 (8) ◽  
pp. 883-906 ◽  
Author(s):  
Alexander Fink ◽  
Oliver Nelles ◽  
Martin Fischer ◽  
Rolf Isermann
Keyword(s):  
Adaptive Control ◽  
Heat Exchanger ◽  
Non Linear ◽  
Linear Adaptive Control

Non-Linear Adaptive Control of Robots Including Motor Dynamics

1994 ◽  
Vol 208 (2) ◽  
pp. 89-99 ◽  
Author(s):  
S S Ge ◽  
I Postlethwaite
Keyword(s):  
Adaptive Control ◽  
Rigid Body ◽  
Dynamic Models ◽  
Controller Design ◽  
Control Methods ◽  
Third Order ◽  
Parameter Adaptation ◽  
Non Linear ◽  
Motor Dynamics ◽  
Linear Adaptive Control

This paper addresses the theoretical aspects of non-linear adaptive control of robots when motor dynamics is included. It is shown that the resulting third-order dynamic models can be transformed into an attractive form, under moderate assumptions, to which the most recent controller design methods are applicable. The third-order model retains important properties (properties 1, 2 and 3 in the paper) which are present in the second-order rigid-body models of robots. Control methods are proposed to tackle two main issues: parameter adaptation for unknown dynamic parameters and robustness in the sense of modelling errors. It is shown that the control methods for rigid-body robots can easily be extended for higher order systems that possess properties 1, 2 and 3.

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