International Journal of Process Systems Engineering
Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.
Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.
Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.
Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.
Articles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
International Journal of Process Systems Engineering (2 papers in press)
Fuzzy output feedback H-infinity tracking control for MIMO Nonlinear Three-Tank System by Sana BZIOUI, Rafik Channa Abstract: In this work, a multi input multi output nonlinear tank system used in bioprocess and water treatment industries is considered. To control liquid level in tank, taking into account external disturbances, an output feedback Hinfinity controller is implemented. This approach is easy to apply since it only requires available signals from the system to be controlled. Because in practice, direct measurements of all state variables of an industrial system are rarely available and only their outputs are accessible for the measure. On another side, in industry, the state observers are not always applicable for technical or economic reasons. The proposed approach is based on Takagi-Sugeno (TS) model approach, which consists to transform the nonlinear model of the tank system into several linear sub models. The design procedure is based on an output parallel distributed compensation (OPDC) controller with an H-infinity criterion. The design conditions are formulated as a linear matrix inequality (LMI) optimisation problem. To maintain the liquid level at the desired set point in each tank, an integral action is introduced. A three tank system is presented to validate the effectiveness of the proposed approach. Keywords: Takagi-Sugeno; output parallel distributed compensation; OPDC; linear matrix inequality; LMI; robust control; H-infinity; tracking control; tank system; integral action; fuzzy control; process systems engineering; nonlinear systems. DOI: 10.1504/IJPSE.2020.10028146
Design of experiment base scenario analysis in discrete event simulation of multi-path manufacturing system by Saso Krstovski, Ahad Ali Abstract: Analysis of a complex multi-path manufacturing system requires a simulation model. After model construction, it requires unique equipment inputs. Inputs consist of equipment cycle time (ECT), mean time before failure (MTBF), mean time to repair (MTTR). These inputs should be distributions that incorporate the randomness of the system. Typically simulation models are developed based on some underlying assumptions and inputs from past system performance indexes. This research proposes a new method of transforming a current simulation model to reflect actual system behaviour at various time-periods accurately. Key model system inputs were incorporated into a design of experiment (DOE) to extract levels that reflected system behaviour on particular dates. Comparing model input vs. actual manufacturing system performance confirmed simulation model validation. Keywords: discrete event simulation; statistical analysis; design of experiment-manufacturing system; equipment cycle time; ECT; mean time before failure; MTBF; mean time to repair; MTTR; design of experiment; DOE. DOI: 10.1504/IJPSE.2021.10038026