Underlying Linear System Identification of Memoryless and Dynamic Nonlinear Systems
نویسندگان
چکیده
The Bussgang coefficient is calculated for a memoryless nonlinear system and the concept extended to a dynamic system modeled by a Volterra Series and for Gaussian Inputs. The theory obtained is then applied to a simple system and the underlying linear system obtained for different system configurations.
منابع مشابه
Potentials of Evolving Linear Models in Tracking Control Design for Nonlinear Variable Structure Systems
Evolving models have found applications in many real world systems. In this paper, potentials of the Evolving Linear Models (ELMs) in tracking control design for nonlinear variable structure systems are introduced. At first, an ELM is introduced as a dynamic single input, single output (SISO) linear model whose parameters as well as dynamic orders of input and output signals can change through ...
متن کاملNonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms
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...
متن کاملFriction Compensation for Dynamic and Static Models Using Nonlinear Adaptive Optimal Technique
Friction is a nonlinear phenomenon which has destructive effects on performance of control systems. To obviate these effects, friction compensation is an effectual solution. In this paper, an adaptive technique is proposed in order to eliminate limit cycles as one of the undesired behaviors due to presence of friction in control systems which happen frequently. The proposed approach works for n...
متن کاملDynamic Modeling and Identification of The Hydro Turbine Using Field Test Data (Case Study: Abbaspour Power Plant)
In order to study the stability and fast dynamic of the power grid, modeling and identification of hydropower plant systems such as turbine, governor and excitation is required. Turbine is a mechanical device and usually identified through field tests. In this paper, the identification of the unit 8 of Abbaspour power plant is conducted. The linear and nonlinear model of the Francis turbine are...
متن کاملAdaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003