A new semi-analytical approach for quasi-periodic vibrations of nonlinear systems
This paper presents a new semi-analytical approach, namely the enhanced time-domain
minimum residual method to solve the semi-analytical quasi-periodic solution for nonlinear …
minimum residual method to solve the semi-analytical quasi-periodic solution for nonlinear …
Parameter identification of nonlinear systems with time-delay from time-domain data
The present paper develops an enhanced response sensitivity approach for parameter
identification of nonlinear time-delay systems from the time-domain data. Accurate and rapid …
identification of nonlinear time-delay systems from the time-domain data. Accurate and rapid …
A new semi-analytical technique for nonlinear systems based on response sensitivity analysis
In this paper, a new semi-analytical method, namely the time-domain minimum residual
method, is proposed for the nonlinear problems. Unlike the existing approximate analytical …
method, is proposed for the nonlinear problems. Unlike the existing approximate analytical …
A comparative study of model approximation methods applied to economic MPC
Economic model predictive control (EMPC) has attracted significant attention in recent years
and is recognized as a promising advanced process control method for next‐generation …
and is recognized as a promising advanced process control method for next‐generation …
Multi-Delay Identification of Rare Earth Extraction Process Based on Improved Time-Correlation Analysis
R Lu, H Liu, H Yang, J Zhu, W Dai - Sensors, 2023 - mdpi.com
The rare earth extraction process has significant time delay characteristics, making it
challenging to identify the time delay and establish an accurate mathematical model. This …
challenging to identify the time delay and establish an accurate mathematical model. This …
Parameter estimation of linear fractional-order system from laplace domain data
A novel parameter estimation method based on the Laplace transform and the response
sensitivity method has been presented to recognize the parameters of linear fractional-order …
sensitivity method has been presented to recognize the parameters of linear fractional-order …
Parameter identification method for nonsmooth aeroelastic system
In this paper, a parameter identification method merged with the precise integration method
and the predictor–corrector strategy is proposed to identify the parameters of a nonsmooth …
and the predictor–corrector strategy is proposed to identify the parameters of a nonsmooth …
Sparse Identification of Fractional Chaotic Systems based on the time-domain data
The complexity inherent in defining and computing fractional derivatives renders the
development of a data-driven modeling framework for fractional-order systems more …
development of a data-driven modeling framework for fractional-order systems more …
Model predictive control of agro‐hydrological systems based on a two‐layer neural network modeling framework
Water scarcity is an urgent issue to be resolved and improving irrigation water‐use efficiency
through closed‐loop control is essential. The complex agro‐hydrological system dynamics …
through closed‐loop control is essential. The complex agro‐hydrological system dynamics …
Almost sure exponential stability of nonlinear stochastic delay hybrid systems driven by G-Brownian motion
C Wei - Boundary Value Problems, 2022 - Springer
G-Brownian motion has potential applications in uncertainty problems and risk measures,
which has attracted the attention of many scholars. This study investigates the almost sure …
which has attracted the attention of many scholars. This study investigates the almost sure …