Automation, Control and Intelligent Systems

Volume 1, Issue 3, June 2013

  • Application of Fuzzy Logic to Multi-Objective Scheduling Problems in Robotic Flexible Assembly Cells

    Khalid Abd, Kazem Abhary, Romeo Marian

    Issue: Volume 1, Issue 3, June 2013
    Pages: 34-41
    Received: 29 May 2013
    Published: 20 June 2013
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    Abstract: This paper is aimed at developing a methodology to solve a multi-objective problem in robotic flexible assembly cells. The proposed methodology is based on three main steps: (1) scheduling of the RFACs using different common rules, (2) normalisation of the scheduling outcomes, and (3) selection of the optimal scheduling rules, using a fuzzy inferen... Show More
  • Development of a Model for Simultaneous Cost-Risks Reduction in JIT Systems Using Multi-External and Local Backup Suppliers

    Faraj El Dabee, Romeo Marian, Yousef Amer

    Issue: Volume 1, Issue 3, June 2013
    Pages: 42-52
    Received: 14 May 2013
    Published: 30 June 2013
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    Abstract: In many organisations, Just-In-Time (JIT) implementation plays a significant role in minimizing their excessive costs, and increasing their efficiency. However, the risks accompanying JIT strategies are often overlooked and affect system processes disrupting the entire chain of supply. This paper proposes an inventory model that can simultaneously ... Show More
  • Ant Colony Optimization with Genetic Operations

    Matej Ciba, Ivan Sekaj

    Issue: Volume 1, Issue 3, June 2013
    Pages: 53-58
    Received: 12 June 2013
    Published: 30 June 2013
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    Abstract: This paper attempts to overcome stagnation problem of Ant Colony Optimization (ACO) algorithms. Stagnation is undesirable state which occurs at a later phases of the search process. Excessive pheromone values attract more ants and make further exploration hardly possible. This problem has been addressed by Genetic operations (GO) incorporated into ... Show More
  • Ant Colony Optimization with Re-Initialization

    Matej Ciba, Ivan Sekaj

    Issue: Volume 1, Issue 3, June 2013
    Pages: 59-63
    Received: 19 June 2013
    Published: 30 June 2013
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    Abstract: This contribution introduces an Ant Colony Optimization (ACO) algorithm with re-initialization mechanism. The whole search process is broken by re-initialization into shorter semi-independent steps called “macro cycles”. The length of macro cycle depends on pheromone accumulation and can be adjusted by a user parameter. It is shown that re-initiali... Show More
  • Adaptive Control Design for a Mimo Chemical Reactor

    Yasabie Abatneh, Omprakash Sahu

    Issue: Volume 1, Issue 3, June 2013
    Pages: 64-70
    Received: 24 June 2013
    Published: 10 July 2013
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    Abstract: The major disadvantage of non-adaptive control systems is that these control systems cannot cope with fluctuation in the parameters of the process. One solution to this problem is to use high levels of feedback gain to decrease the sensitivity of the control system. However high gain controllers have two major problems: large signal magnitude and c... Show More
  • Optimization of Goal Targeting in 1 on 1 Soccer Robots Using Safe Points (Experimental Research)

    Yahya Hassanzadeh-Nazarabadi, Abolfazl Saravani, Bahareh Alizadeh

    Issue: Volume 1, Issue 3, June 2013
    Pages: 71-74
    Received: 1 July 2013
    Published: 20 July 2013
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    Abstract: Due to the fact that targeting the goal is the last part of soccer robot’s aggressive decision chains, aiming styles and their lack of proficiency are discussed. Then targeting based on safe points is explained and implemented. Accordingly, this method has perfect accuracy. It brings new standpoint in aiming and it’s capable of moving the barrier o... Show More
  • An Analysis of the Reciprocal Collision Avoidance of Cooperative Robots

    A. Fratu, M. Dambrine, L. Vermeiren, A. Dequidt

    Issue: Volume 1, Issue 3, June 2013
    Pages: 75-84
    Received: 14 May 2013
    Published: 30 July 2013
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    Abstract: This paper presents a formal approach that addresses the reciprocal robots collision avoidance, where two robots need to avoid collisions with each other, while moving in a common workspace. Based on our formulation, each physical robot acts fully independently, communicating with the corresponding virtual prototype and imitating its behavior. Each... Show More