Instantaneous flywheel torque of IC engine grey-box identification
نویسندگان
چکیده
منابع مشابه
Grey-box Model Identification via Evolutionary Computing
This paper presents an evolutionary grey-box model identification methodology that makes the best use of a-priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate black-box models for immeasurable and local nonlinearities of a practical system. The evolutionary technique is applied to building dominant struc...
متن کاملNonlinear Grey-box Identification of Industrial Robots Containing Flexibilities
Nonlinear grey-box identification of industrial robots is considered. A three-step identification procedure is proposed in which parameters for rigid body dynamics, friction, and flexibilities can be identified only using measurements on the motor. In the first two steps, good initial parameter estimates are derived which are used in the last step, where the parameters of a nonlinear physically...
متن کاملBlack-Box Testing of Grey-Box Behavior
A key aspect of the Object-Oriented (OO) approach is that a designer can enrich an OO system by providing suitable (re-)definitions for some of the methods of the given system. Application frameworks provide good examples of such enrichment. An OO framework typically provides a number of template methods that implement specific patterns of calls to hook methods. An application developer can cus...
متن کاملGrey-box nonlinear state-space modelling for mechanical vibrations identification
In the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the nonlinear model terms can be formed using a limited number of output measurements. A twostep identification procedure is derived for this grey-box model, integrating nonlinear subspace initialisation and maximum likeli...
متن کاملGrey-box System Identification with Variable- Structure Neural Networks
Grey-box’ models take advantage of physical insight about the dynamical system in question. This reduces uncertainty and facilitates the remaining system identification process. Here a grey-box system identification (GBSI) method for nonlinear dynamical systems is presented, which first establishes a linear model (the ‘white box’) using a priori knowledge and conventional tools, and then adds a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2018
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/294/1/012080