One for all: Universal material model based on minimal state-space neural networks

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

15 صفحه اول

Minimal state space realization for all-pole and all-zero lattice discrete 2D filters

In this paper state space realizations for all-pole and all-zero two-dimensional (2D) lattice discrete ®lters are presented. The proposed realizations are based on the corresponding circuit implementations. For the realizations, the 2D state space model of the Roesser type was used. The dimension of the state vector was minimal. Three low-order examples are presented to illustrate the proposed ...

متن کامل

Designing State-space Models with Neural Networks

This paper presents a new state-space identification framework for non-linear systems. In particular, a state-space model structure is designed with the Group Method of Data Handling type neural network. It is assumed that the neurons of the network have tangensoidal activation functions. For such a network type, a new approach based on a bounded-error set estimation technique is employed to es...

متن کامل

Model Predictive Control Design Using Non-minimal State Space Model

This paper examines the design of model predictive control using nonminimal state space models, in which the state variables are chosen as the set of measured input and output variables and their past values. It shows that the proposed design approach avoids the use of an observer to access the state information and, as a result, the disturbance rejection, particularly the system input disturba...

متن کامل

On State Space Model Based Predictive Control

An input and output model is used for the development of a model based predictive control framework for linear model structures. Diierent MPC algorithms which are based on linear state space models or linear polynomial models t into this framework. A new identiication horizon is introduced in order to represent the past.

متن کامل

ذخیره 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: Science Advances

سال: 2021

ISSN: 2375-2548

DOI: 10.1126/sciadv.abf3658