Results 11 to 20 of about 1,308,678 (317)

Nonlinear Model Predictive Path-Following Control [PDF]

open access: yes, 2009
In the frame of this work, the problem of following parametrized refer- ence paths via nonlinear model predictive control is considered. It is shown how the use of parametrized paths introduces new degrees of freedom into the con- troller design ...
Findeisen, Rolf, Faulwasser, Timm
core   +3 more sources

Gaussian process model based predictive control [PDF]

open access: yes, 2003
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Kocijan, J.   +17 more
core   +1 more source

Nonlinear model predictive control for the ALSTOM gasifier. [PDF]

open access: yes, 2006
In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions.
Al-Seyab, Rihab   +3 more
core   +1 more source

Model-based predictive adaptive delta modulation [PDF]

open access: yes, 2007
This paper presents a new technique in digital communications that is called model-based-predictive adaptive-delta-modulation (MBP-ADM). MBP-ADM uses system identification tools to identify a model of the signal which is used for prediction.
Sandor M Veres   +3 more
core   +1 more source

Predictive pole-placement control with linear models [PDF]

open access: yes, 2002
The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Ronco, E., Gawthrop, P.J.
core   +1 more source

Nonparametric nonlinear model predictive control [PDF]

open access: yes, 2004
Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique.
Kashiwagi, H, Li, Y.
core   +1 more source

Prediction models in urology [PDF]

open access: yesNature Clinical Practice Urology, 2007
Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
openaire   +2 more sources

Economic model predictive control: Some design tools and analysis techniques [PDF]

open access: yes, 2018
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking) MPC which aims at maximizing economic profitability by directly minimizing, over a receding prediction horizon, the costs incurred in system’s operation.
Angeli, David   +3 more
core   +1 more source

Modulation of M1/M2 polarization by capsaicin contributes to the survival of dopaminergic neurons in the lipopolysaccharide-lesioned substantia nigra in vivo

open access: yesExperimental and Molecular Medicine, 2018
Parkinson’s disease: Preventing neuron death A drug that activates a neuron-protecting protein in the brain may help treat Parkinson’s disease (PD). Scientists believe neurons die during PD because of an over-activation of proinflammatory markers within ...
Eugene Bok   +5 more
doaj   +1 more source

Kinetic Behavior of on Various Cheeses under Constant and Dynamic Temperature [PDF]

open access: yesAsian-Australasian Journal of Animal Sciences, 2014
In this study, we developed kinetic models to predict the growth of pathogenic Escherichia coli on cheeses during storage at constant and changing temperatures. A five-strain mixture of pathogenic E.
K. Kim, H. Lee, E. Gwak, Y. Yoon
doaj   +1 more source

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