Forthcoming and Online First Articles

International Journal of System Control and Information Processing

International Journal of System Control and Information Processing (IJSCIP)

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 Articles will not be published until the final proofs are validated by their authors.

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International Journal of System Control and Information Processing (2 papers in press)

Regular Issues

  • Dynamic Output Feedback Based Robust Controller Design for Selective Catalytic Reduction Systems   Order a copy of this article
    by Baigeng Wang, Shurong Li 
    Abstract: Selective catalytic reduction (SCR) is an effective way to deal with the flue gas at the outlet of coal-fired boiler. The working process of SCR systems is to use the ammonia (NH3) adsorbed on the catalyst to react with nitrogen oxide (NOx) to generate nitrogen and water. This paper presents an observer based dynamic output feedback control for SCR systems. Since NH3 coverage ratio cannot be measured directly, a reduced order observer is designed first. And then it is proved that the error of observer tends to 0 by using Lyapunov function. Furthermore, the dynamic equation of the composite system including the observer state is obtained. Finally, the controller is designed to adjust the rate of NH3 injection in order to satisfy the industrial demand.
    Keywords: Selective catalytic reduction; Dynamic output feedback; Reduced order observer; Robust control; Lyapunov function.

  • Event-Triggered Model Predictive Control for Grid-connected Three-phase Inverter   Order a copy of this article
    by Qianling Chen, Benfei Wang 
    Abstract: With advantage of dealing with various nonlinear system, model predictive control (MPC) strategy has been applied commonly in power system, however, there is a large computation burden in the traditional MPC strategy. To overcome the shortcoming of MPC, this paper implements event triggered model predictive control (ET-MPC) strategy in grid-connected microgrid system (GMS), which activates MPC once the triggered condition is satisfied; otherwise MPC operation will be stopped. Therefore, it helps to reduce online calculation amount and switching action greatly. To verify the feasibility and superiority of the proposed ET-MPC strategy applied in GMS, the corresponding simulation studies have been conducted in Matlab/Simulink. The various simulation and comparison results, demonstrate the effectiveness of proposed ET-MPC strategy for the GMS.
    Keywords: grid-connected microgrid system; model predictive control; event triggered control; computation burden.

 

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