Forthcoming articles


International Journal of System Control and Information Processing


These articles have been peer-reviewed and accepted for publication in IJSCIP, 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 Articles will not be published until the final proofs are validated by their authors.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


  • SEMG-Based Research of Upper Body Muscle Fatigue during Manual Material Handling   Order a copy of this article
    by Na Yu 
    Abstract: The upper body muscles frequently contract during manual material handling tasks, and muscle fatigue could arise during the repetitive contraction. To explore the muscle fatigue within arm, shoulder and back during material handling, 11 male graduate students were chosen as subjects to simulate furniture boards handling task. In the experiment, the vertical lifting distance, set 3 levels, was the single test variable. Through analyzing normalized average electromyography (Normalized AEMG) and mean power frequency (MPF) of the electromyography signal collected during the experiment, found that the biceps brachii muscle the most relaxed, and the multifidus muscle the most fatigable. In order to reduce waist muscle load , it is suggest that operators increase their use of arm strength during material handling, optimizing work posture.
    Keywords: Muscle fatigue; Material handling; sEMG; work posture.

  • Design of Neural Network based MRAC   Order a copy of this article
    by Dixit Sethi, Swati Sharma, Jagdish Kumar, Rintu Khanna 
    Abstract: Journal presents the comparison of Conventional-MRAC (Model Reference Adaptive Controller), Advanced-MRAC and Neural Network based MRAC (NN-MRAC) scheme. The MIT Rule and Lyapunov Rule are used for the design of controller parameter adaptation laws. The main research is on how to adapt the control actions more effectively to solve the problem of disturbances and non-linearities. Conventional-MRAC alone is unable to handle nonlinearities and disturbances of the plant and to provide a stable and controlled output, we augment an NN controller, in parallel with MRAC controller, to compensate the nonlinearities and disturbances present in the plant and this scheme is called as NN-MRAC scheme. All methods are applied with analytical detail to a chosen (SISO) second-order inherently unstable system named Inverted Pendulum with the application of some uncertainties and disturbances. It is clearly seen from the computer simulation results that NN-MRAC system improves the performance of the system effectively.
    Keywords: Model Reference Adaptive Controller (MRAC); Advanced-MRAC(AMRAC); Neural Network based MRAC(NN-MRAC); MIT Rule; Lyapunov Rule; and PID; Multilayer Backpropagation Neural Network (MBPNN).