نتایج جستجو برای: NARX

تعداد نتایج: 507  

Journal: :Journal of bacteriology 1992
L A Collins S M Egan V Stewart

During anaerobic growth, nitrate induces synthesis of the anaerobic respiratory enzymes formate dehydrogenase-N and nitrate reductase. This induction is mediated by a transcription activator, the narL gene product. The narX gene product may be involved in sensing nitrate and phosphorylating NARL. We isolated narX mutants, designated narX*, that caused nitrate-independent expression of the forma...

Journal: :Journal of bacteriology 1999
A I Lee A Delgado R P Gunsalus

The Nar two-component regulatory system, consisting of the dual sensor-transmitters NarX and NarQ and the dual response regulators NarL and NarP, controls the expression of various anaerobic respiratory pathway genes and fermentation pathway genes. Although both NarX and NarQ are known to detect the two environmental signals nitrate and nitrite, little is known regarding the sensitivity and sel...

Journal: :Eng. Appl. of AI 2011
Ho Pham Huy Anh Kyoung Kwan Ahn

We investigated the possibility of applying a hybrid feed-forward inverse nonlinear auto-regressive with exogenous input (NARX) fuzzy model-PID controller to a nonlinear pneumatic artificial muscle (PAM) robot arm to improve its joint angle position output performance. The proposed hybrid inverse NARX fuzzy-PID controller is implemented to control a PAM robot arm that is subjected to nonlinear ...

Journal: :International Journal on Artificial Intelligence Tools 2013
Ho Pham Huy Anh Kyoung Kwan Ahn

In this paper, a novel MIMO Neural NARX model is used for simultaneously modeling and identifying both joints of the 2-axes PAM robot arm’s inverse and forward dynamic model. The highly nonlinear cross effect of both links of the 2-axes PAM robot arm are thoroughly modeled through an Inverse and Forward Neural MIMO NARX Model-based identification process using experimental input-output training...

2017
Godwin Anand

This paper deals with the identification of MIMO cement mill process using Non-linear Autoregressive with Exogenous Inputs (NARX) models with wavelet network. NARX identification, based on a sequence of input/output samples, collected from a real cement mill process is used for black-box modeling of non-linear cement mill process. The NARX model is considered for two inputs and two outputs of s...

Journal: :Journal of bacteriology 1997
S B Williams V Stewart

Nitrate and nitrite control of anaerobic respiratory gene expression is mediated by dual two-component regulatory systems. The sensors NarX and NarQ each communicate nitrate and nitrite availability to the response regulators NarL and NarP. In the presence of nitrate, the NarX protein acts as a positive regulator ("kinase") of both NarL and NarP activity. In the presence of nitrite, the NarX pr...

Journal: :Journal of bacteriology 1994
I Schröder C D Wolin R Cavicchioli R P Gunsalus

The NarX, NarQ, and NarL proteins make up a nitrate-responsive regulatory system responsible for control of the anaerobic respiratory pathway genes in Escherichia coli, including nitrate reductase (narGHJI), dimethyl sulfoxide/trimethylamine-N-oxide reductase (dmsABC), and fumarate reductase (frdABCD) operons among others. The two membrane-bound proteins NarX and NarQ can independently sense th...

2015
Mujahed AL-DHAIFALLAH Kottakkaran Sooppy NISAR Praveen AGARWAL Alaa ELSAYYAD

In this paper, Hammerstein model and Nonlinear AutoRegressive with eXogeneous inputs (NARX) model are used to represent tubular heat exchanger. Both models have been identified using least squares support vector machines based algorithms. Both algorithms were able to model the heat exchanger system without requiring any apriori assumptions regarding its structure. The results indicate that the ...

Journal: :Int. J. Control 2007
Xing Jian Jing Zi Qiang Lang Stephen A. Billings

New results about the bound characteristics of both the generalized frequency response functions (GFRFs) and the output frequency response for the NARX (Nonlinear AutoRegressive model with eXogenous input) model are established. It is shown that the magnitudes of the GFRFs and the system output spectrum can all be bounded by a polynomial function of the magnitude bound of the first order GFRF, ...

1995
Tsungnan Lin Bill G. Horne Peter Tiño C. Lee Giles

Bill G. Horne NEC Research Institute 4 Independence Way Princeton, NJ 08540 c. Lee Gilest NEC Research Institute 4 Independence Way Princeton, N J 08540 It has recently been shown that gradient descent learning algorithms for recurrent neural networks can perform poorly on tasks that involve long-term dependencies. In this paper we explore this problem for a class of architectures called NARX n...

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