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New approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks
(1999-12-01)
The present work introduces a new strategy of induction machines speed adjustment using an adaptive PID (Proportional Integral Derivative) digital controller with gain planning based on the artificial neural networks. This ...
New approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks
(1999-12-01)
The present work introduces a new strategy of induction machines speed adjustment using an adaptive PID (Proportional Integral Derivative) digital controller with gain planning based on the artificial neural networks. This ...
Experimental validation of a continuous time MCSI algorithm with bounded adaptive gains
(2019)
The Franklin Institute Model reference adaptive control algorithms with minimal controller synthesis have proven to be an effective solution to tame the behaviour of linear systems subject to unknown or time-varying ...
Performance of Nellore bulls fed probiotic (Saccharomyces cerevisiae boulardii CNCM I-1079) during adaptation in feedlot
(Oxford Univ Press Inc, 2021-11-01)
Evolving granular control with high-gain observers for feedback linearizable nonlinear systems
(Springer, 2020-07)
Feedback linearization control is a simple and effective strategy whenever a faithful model of the system and its states are available. Feedback linearization may suffer from the mismatches between the model used in the ...
Feedlot performance and rumen morphometrics of Nellore cattle adapted to high-concentrate diets over periods of 6, 9, 14 and 21 days
(2020-01-01)
The energy content of finishing diets offered to feedlot cattle may vary across countries. We assumed that the lower is the energy content of the finishing diet, the shorter can be the adaptation period to high-concentrate ...
Adaptive passivation with time-varying gains of mimo nonlinear systems
(GORDON AND BREACH SCIENCE PUBLISHERS, 2003)
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
(Pergamon-elsevier Science LtdOxfordInglaterra, 2006)