In this paper, the new approach for identification of synchronous generator using nonlinear feedback model and with piecewise linear map is investigated. In this method, synchronous generator model consists of a linear-dynamic block in forward path and a nonlinear-static block in feedback path. The identification method simultaneously approximates these blocks without requiring prior assumption...

In this paper we propose a framework for studying fundamental limitations in the control of thermoacoustic instabilities described by nonlinear models. More generally, the framework applies to general interconnections of lightly damped linear oscillators and nonlinear static nonlinearities of saturation type driven by broad-band Gaussian disturbances. The key concept is to replace the static no...

In this paper, a novel algorithm is developed for identifying Hammerstein model. The static nonlinear function is characterized by function link artificial neural network (FLANN) and the linear dynamic subsystem by an ARMA model. The utilization of FLANN can not only result in a simple and effective representation of static nonlinearity but also simplify the learning algorithm. A two-step proce...

Two modeling techniques for practical nonlinear static analysis are implemented to support the development and usage of a new Limit Design method for special reinforced masonry shear walls. The new seismic design alternative is under consideration for future versions of the building code requirements for masonry structures in the U.S. The proposed simplified models were applied to a planar one-...

In this article a simple and effective controller design is introduced for the Hammerstein systems that are identified based on observational input/output data. The nonlinear static function in the Hammerstein system is modelled using a B-spline neural network. The controller is composed by computing the inverse of the B-spline approximated nonlinear static function, and a linear pole assignmen...

The nonlinear σ-model is considered to be useful in describing hadrons (Skyrmions) in low energy hadron physics and the approximate behavior of the global texture. Here we investigate the properties of the static solution of the nonlinear σmodel equation coupled with gravity. As in the case where gravity is ignored, there is still no scale parameter that determines the size of the static soluti...

In analogy with the continuous-time case, a general notion of controlled invariance with respect to quasi-static-state feedback is introduced for discrete-time nonlinear systems which incorporates the earlier definition of controlled invariance with respect to regular static-state feedback. This new notion is used to derive a geometric solution to the dynamic disturbance decoupling problem. The...

Endurance time (ET) method is a relatively new performance-based earthquake method for structural evaluation and design. In this method, the structure is subjected to a gradually intensifying accelorogram(s) and its performance is assessed based on the maximum time duration that it can meet the specified performance objectives. Using moment-resisting and braced frames which are rehabilitated by...

In this paper, size dependent beam type peizoelectric energy hardvester is investigated. For this goal, first nonlinear formulation of isotropic piezoelectric Euler-Bernoulli nano-beam is developed based on the size-dependent piezoelectricity theory then special beam type piezoelectric energy hardvester is probed for different parameters. Basic nonlinear equations of piezoelectric nano-beam are...

In this paper, the nonlinear autoregressive model with exogenous variables as a new neural network is used for timing of the stock markets on the basis of the technical analysis of Japanese Candlestick. In this model, the “nonlinear autoregressive model with exogenous variables” is an analyzer. For a more reliable comparison, here (like the literature) two approaches of  Raw-based and Signal-ba...