Hong Wang

TL;DR: In this paper, a hybrid intelligent control (HIC) method is proposed, which includes a fuzzy switching controller of the sump level interval, a multi-PI switching controller for the hydrocyclone feeding pressure and a conventional controller for feeding density, and it has been successfully applied to a regrinding process in a large-scale hematite beneficiation plant.

TL;DR: In this article, the authors present a method to estimate the unknown probability density functions (PDFs) of random parameters for non-Gaussian dynamic stochastic systems, where the system is represented by an auto-regression and exogenous model, and the parameters and the system noise term are random processes characterised by their unknown PDFs.

TL;DR: In this article, a novel identification technique, that is high-gain observer-based identification approach, is proposed for systems with bounded process and measurement noises, for system parameters with abnormal changes, an adaptive change detection and parameter identification algorithm is next presented.

TL;DR: In this article, an adaptive fault diagnosis method for a class of time-delayed nonlinear systems via the use of adaptive updating rules is presented, where the considered system is represented by a dynamic state space model where the time delays are embedded into the state vector.

TL;DR: In this paper, the B-spline functions are used to approximate the Γ probability density function on a fixed length interval; then the coefficients of the approximation are related, through mean and variance calculations, to the two parameters (i.e. μ and β) in Γ distributions, and desired results have been obtained which are comparable to the trajectories obtained from the geodesic equation.