折纸结构和折纸超材料动力学研究进展
方虹斌， 吴海平， 刘作林， 张琦炜， 徐鉴 - 力学学报, 2022 - lxxb.cstam.org.cn
折纸结构和折纸超材料由于其无穷的设计空间, 突出的变形状, 变大小, 变拓扑特性,
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
以及由折叠诱发的超常规力学特性, 在最近几年迅速成为数学, 物理和工程学科的研究前沿和 …
Advances in the dynamics of origami structures and origami metamaterials
F Hongbin, W Haiping, L Zuolin, Z Qiwei… - Chinese Journal of …, 2022 - lxxb.cstam.org.cn
Recently, due to the infinite design space, outstanding capability in changing shape,
dimension, and topology, as well as the folding-induced extraordinary mechanical …
dimension, and topology, as well as the folding-induced extraordinary mechanical …
A deep belief network with PLSR for nonlinear system modeling
J Qiao, G Wang, W Li, X Li - Neural Networks, 2018 - Elsevier
Nonlinear system modeling plays an important role in practical engineering, and deep
learning-based deep belief network (DBN) is now popular in nonlinear system modeling and …
learning-based deep belief network (DBN) is now popular in nonlinear system modeling and …
Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach
JF Qiao, HG Han - Automatica, 2012 - Elsevier
In this paper, a novel self-organizing radial basis function (SORBF) neural network is
proposed for nonlinear identification and modeling. The proposed SORBF consists of …
proposed for nonlinear identification and modeling. The proposed SORBF consists of …
Observer-based sliding mode control for a class of discrete systems via delta operator approach
In this paper, an observer-based sliding mode control (SMC) problem is investigated for a
class of uncertain delta operator systems with nonlinear exogenous disturbance. A novel …
class of uncertain delta operator systems with nonlinear exogenous disturbance. A novel …
Economic model predictive control of nonlinear process systems using empirical models
Economic model predictive control (EMPC) is a feedback control technique that attempts to
tightly integrate economic optimization and feedback control since it is a predictive control …
tightly integrate economic optimization and feedback control since it is a predictive control …
[图书][B] Analysis and synthesis of delta operator systems
This book is devoted to analysis and design on delta operator systems. When sampling is
fast, a dynamical system will become difficult to control, which can be seen in wide real …
fast, a dynamical system will become difficult to control, which can be seen in wide real …
Computational system identification for Bayesian NARMAX modelling
In this contribution we derive a computational Bayesian approach to NARMAX model
identification. The identification algorithm exploits continuing advances in computational …
identification. The identification algorithm exploits continuing advances in computational …
Integrated identification of the nonlinear autoregressive models with exogenous inputs (narx) for engineering systems design
This brief presents a new framework for the identification of nonlinear autoregressive (AR)
models with exogenous inputs (NARX) model for design (NARX-M-for-D), which represents …
models with exogenous inputs (NARX) model for design (NARX-M-for-D), which represents …
Error‐triggered on‐line model identification for model‐based feedback control
In industry, it may be difficult in many applications to obtain a first‐principles model of the
process, in which case a linear empirical model constructed using process data may be …
process, in which case a linear empirical model constructed using process data may be …