Identification of Nonlinear Polynomial Models by Using the Genetic Algorithm

Identification of nonlinear systems using Polynomial Nonlinear State Space models

A Robust Nonlinear System Identification Algorithm using Orthogonal Polynomial Network

Process Identification Using Polynomial Models

Abstract: This paper deals with the identification of linear systems using input-output response data. Specifically we focus on nonparametric (finite impulse or step response, FIR or FSR) models widely used in model predictive control. A polynomial model is proposed to reduce the number of parameters needed to represent the model. This leads to parsimonious, yet extremely robust models. The tim...

Nonlinear optimized Fast Locking PLLs Using Genetic Algorithm

Abstract— This paper presents a novel approach to obtain fast locking PLL by embedding a nonlinear element in the loop of PLL. The nonlinear element has a general parametric Taylor expansion. Using genetic algorithm (GA) we try to optimize the nonlinear element parameters. Embedding optimized nonlinear element in the loop shows enhancements in speed and stability of PLL. To evaluate the perform...

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...