Modeling and control approach to a distinctive quadrotor helicopter
J Wu, H Peng, Q Chen, X Peng - ISA transactions, 2014 - Elsevier
The referenced quadrotor helicopter in this paper has a unique configuration. It is more
complex than commonly used quadrotors because of its inaccurate parameters, unideal …
complex than commonly used quadrotors because of its inaccurate parameters, unideal …
RBF-ARX model-based MPC strategies with application to a water tank system
F Zhou, H Peng, Y Qin, X Zeng, W **e, J Wu - Journal of Process Control, 2015 - Elsevier
A hybrid pseudo-linear RBF-ARX model that combines Gaussian radial basis function (RBF)
networks and linear ARX model structure is utilized for representing the dynamic behavior of …
networks and linear ARX model structure is utilized for representing the dynamic behavior of …
Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process
F Zhou, H Peng, W Ruan, D Wang, M Liu, Y Gu… - Neural Computing and …, 2018 - Springer
This paper presents a data-driven modeling technique used to build a multi-sampling-rate
RBF-ARX (MSR-RBF-ARX) model for capturing and quantifying global nonlinear …
RBF-ARX (MSR-RBF-ARX) model for capturing and quantifying global nonlinear …
Uncertain time series forecasting method for the water demand prediction in Bei**g
H Li, X Wang, H Guo - Water Supply, 2022 - iwaponline.com
Water demand prediction is crucial for effective planning and management of water supply
systems to handle the problem of water scarcity. Taking into account the uncertainties and …
systems to handle the problem of water scarcity. Taking into account the uncertainties and …
Robust Control of Positive 2-Dimensional Systems with Bounded Realness Property
As presented in this paper, we explore the control of a discrete-time two–dimensional (2-D)
system using the Lyapunov approach. The Giovane–Roesser model (G–R) for 2-D systems …
system using the Lyapunov approach. The Giovane–Roesser model (G–R) for 2-D systems …
Smoothly clipped absolute deviation estimation for uncertain autoregressive model
H Li, X Yang - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Uncertain time series is chronological sequence overtime where each period is described
by an uncertain variable. In this paper, we investigate the smoothly clipped absolute …
by an uncertain variable. In this paper, we investigate the smoothly clipped absolute …
A new Levinson–Durbin based 2-D AR model parameter estimation method
M Zeinali, M Shafiee - Multidimensional Systems and Signal Processing, 2016 - Springer
This paper presents a new method for estimating the parameters of quarterplane two
dimensional (2-D) autoregressive model based on the Levinson–Durbin algorithm. To …
dimensional (2-D) autoregressive model based on the Levinson–Durbin algorithm. To …
Scalar correlation functions for model structure selection in high-dimensional time-series modelling
Abstract Model structure selection is an important step in high-dimensional time-series
modelling. Traditionally AIC and BIC have been used for this purpose, however, only post …
modelling. Traditionally AIC and BIC have been used for this purpose, however, only post …
Stability analysis of singular 2-D positive systems
This paper deals with the asymptotic stability of singular 2-Dimensional positive systems
with the Lyapunov approach. First, we introduce the GR model for Singular 2-D systems, an …
with the Lyapunov approach. First, we introduce the GR model for Singular 2-D systems, an …
A new Kalman filter based 2D AR model parameter estimation method
M Zeinali, M Shafiee - IETE Journal of Research, 2017 - Taylor & Francis
This paper presents a new method based on the Kalman filter (KF) for the two-dimensional
(2D) autoregressive model parameters estimation. For this purpose, the corresponding …
(2D) autoregressive model parameters estimation. For this purpose, the corresponding …