Exogenous RNAs alter interspecifically the transmission of signals in organisms by regulating expression their genes. This process leads to phenotypic cellular changes, thus representing a possible new tactic for treatment various diseases. are promising approach creation fundamentally class drugs or biologically active additives (for plant exogenous RNAs) with pharmacological activity and mini...

This paper presents a new algorithm for identification of NARX Hammerstein systems using support vector machines (SVMs) to model the static nonlinear elements. The SVM is fitted by minimizing an ε-insensitive, L-1 cost function which is robust in the presence of outliers. Another advantage of this algorithm is that the value of the uncertainty level epsilon can be specified by the user which gi...

The paper is devoted to development of control algorithms for nonlinear parametrically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algorithm for local models’ parameters estimation and structure adjustment has been developed. Proposed approach allows straightforward designing of the combined feedforward/feedback co...

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...