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Predictable wireless networking is a basis for real-time cyber-physical-human (CPH) systems such as those in augmented reality, connected and automated vehicles, and industrial automation, and a fundamental problem in predictable wireless networking is predictable control of intra-network interference in the presence of dynamics and uncertainties. We present the Physical-Ratio-K (PRK) wireless interference...
This paper deals with fault detection and isolation (FDI) in a fed-batch penicillin fermentation process. The method is based on an empirical model developed using the multi-way partial least squares technique. The paper begins by demonstrating how this model can be used to provide FDI capabilities and then shows how this FDI scheme can be integrated within a model predictive controller to provide...
Glass container forming processes have attracted more attention over the past years due to the problem of lacking process information and correlation for key variables within the processes. In this paper an approach to develop process modeling and intelligent software sensing is presented for application based on multivariate statistical process control methods. The intelligent software sensors are...
Receding horizon control (RHC) or model predictive control (MPC) solves online a finite horizon open-loop optimal control problem repeatedly in an infinite horizon context and provides a suboptimal control solution. It has been widely used in industry. For continuous-time (CT) systems, two categories of RHC have been investigated in literature, namely instantaneous RHC and sampled-data RHC. This paper...
In this paper, the relationship of membrane fouling rates and the operation conditions of Clarification Membrane process had been investigated with Response Surface Methodology (RSM). Base on the data of operation conditions experiment, including: filtration flux, backwashing pressure (the ratio of the pressure of backwashing/filtration), backwashing rate (the ratio of backwashing time/filtration...
Water demand forecasting is very important in urban water supply management. A large number of researches have been done on water demand forecasting methods. In order to meet the easy operation and high accuracy requirements, a new forecasting method based on fuzzy theory, adaptive neuro-fuzzy inference system (ANFIS), was presented. The parameters of this method are obtained by the original fuzzy...
System dynamics (SD) approach for developing zone water demand forecasting was developed based on the analysis of its water resources system which has multi-feedback and nonlinear interactions amongst system elements. As an example, Tianjin Binhai Linkong water resource system dynamic (SD) model was set up according its dual water supply feasibility and necessary and different quality water demand...
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