neural networks are applicable in identification systems from input-output data. in this report, we analyze thehammerstein-wiener models and identify them. thehammerstein-wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...

In this paper, we address a novel approach to identify a nonlinear dynamic system for a Hammerstein model. The Hammerstein model is composed of a nonlinear static block in series with a linear dynamic system block. The aim of system identification here is to provide the optimal mathematical model of both nonlinear static and linear dynamic system blocks in some appropriate sense. In this paper,...

Mainstream link-based static-rank algorithms (e.g. PageRank and its variants) express the importance of a page as the linear combination of its in-links and compute page importance scores by solving a linear system in an iterative way. Such linear algorithms, however, may give apparently unreasonable staticrank results for some link structures. In this paper, we examine the static-rank computat...

Abstract: This paper studies on the design of a nonlinear controller for the looper-tension system in hot strip finishing mills using a static state feedback linearization and an ILQ(Inverse Linear Quadratic) Optimal Control. Nonlinear dynamic equations of the looper-tension system are analytically linearized by a static feedback linearization algorithm with a compensator. A nonlinear controlle...

This study introduces decentralized static output feedback fuzzy control design for nonlinear interconnected systems via T-S fuzzy models. In general, due to the interactions among subsystems, it is dif cult to design an decentralized output feedback controller for nonlinear interconnected systems. A singular value decomposition (SVD) method is proposed in this study to solve the decentralized ...

1. Abstract In the real world, structural systems may show nonlinear dynamic behavior. Linear static response structural optimization has been developed quite well by using linear static response analysis. Finite element analysis regarding the nonlinearities or dynamic effects has also been developed very well. However, conventional optimization methods considering the nonlinearities or dynamic...

The nRPN, nRPNSTAT, and nRPNDYN are three novel indexes to measure system's nonlinearity. These nonlinear measurements are derived from the Robust Performance Number (RPN) concept. The total system's nonlinearity can be measured by the nonlinear RPN (nRPN), while the purely static nonlinearity is captured by nonlinear static RPN (nRPNSTAT) and the dynamic component by the nonlinear dynamic RPN ...

this paper describes a modified structural dynamics model for aeroelastic analysis of high-aspect-ratio wings undergoing large deformation behavior. to gain this aim, a moderate deflection beam model is modified with some important large deflection terms and then coupled with a state space unsteady aerodynamics model. finite element method is used to discretize the equations of motion. a dynami...

while significant advances have been made on the blast analysis, applications of nonlinear analysis of structures under explosion have been limited to the frames and structural behavior of bridges subjected to blast is an issue that has attracted attention of researchers in recent years. nonlinear dynamic analysis can be lead to the most accurate responses of the structure under blast but the u...

This paper introduces a method for interactively editing planar curves subject to positional and rotational constraints. We regard editing as a static deformation problem but our treatment differs from standard finite element methods in the sense that the interpolation is based on deformation modes rather than the classic shape functions. A careful choice of these modes allows capturing the def...