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  • 1.
    Asl, Reza Mohammadi
    et al.
    Laboratory of Intelligent Machines, Department of Mechanical Engineering, LUT University, Lappeenranta, Finland.
    Hagh, Yashar Shabbouei
    Laboratory of Intelligent Machines, Department of Mechanical Engineering, LUT University, Lappeenranta, Finland.
    Palm, Rainer
    Örebro University, School of Science and Technology.
    Handroos, Heikki
    Laboratory of Intelligent Machines, Department of Mechanical Engineering, LUT University, Lappeenranta, Finland.
    Integral Non-Singular Terminal Sliding Mode Controller for nth-Order Nonlinear Systems2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 102792-102802Article in journal (Refereed)
    Abstract [en]

    In this study, a new integral non-singular terminal sliding mode control method for nonlinear systems is introduced. The proposed controller is designed by defining a new sliding surface with an additional integral part. This new manifold is first introduced into the second-order system and then expanded to nth-order systems. The stability of the control system is demonstrated for both second-order and nth-order systems by using the Lyapunov stability theory. The proposed controller is applied to a robotic manipulator as a case study for second-order systems, and a servo-hydraulic system as a case study for third-order systems. The results are presented and discussed.

  • 2.
    De Donno, Michele
    et al.
    DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
    Tange, Koen
    DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
    Dragoni, Nicola
    Örebro University, School of Science and Technology. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
    Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog2019In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 150936-150948Article in journal (Refereed)
    Abstract [en]

    In the last few years, Internet of Things, Cloud computing, Edge computing, and Fog computing have gained a lot of attention in both industry and academia. However, a clear and neat definition of these computing paradigms and their correlation is hard to find in the literature. This makes it difficult for researchers new to this area to get a concrete picture of these paradigms. This work tackles this deficiency, representing a helpful resource for those who will start next. First, we show the evolution of modern computing paradigms and related research interest. Then, we address each paradigm, neatly delineating its key points and its relation with the others. Thereafter, we extensively address Fog computing, remarking its outstanding role as the glue between IoT, Cloud, and Edge computing. In the end, we briefly present open challenges and future research directions for IoT, Cloud, Edge, and Fog computing.

  • 3.
    Hou, Hui-Rang
    et al.
    Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Meng, Qing-Hao
    Tianjin Key Laboratory of Process Measurement and Control, Institute of Robotics and Autonomous Systems, School of Electrical and Information Engineering, Tianjin University, Tianjin, China.
    Gas Source Declaration with Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine2019In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 7227-7235, article id 8945323Article in journal (Refereed)
    Abstract [en]

    Gas source localization (including gas source declaration) is critical for environmental monitoring, pollution control and chemical safety. In this paper we approach the gas source declaration problem by constructing a tetrahedron, each vertex of which consists of a gas sensor and a three-dimensional (3D) anemometer. With this setup, the space sampled around a gas source can be divided into two categories, i.e. inside (“source in”) and outside (“source out”) the tetrahedron, posing gas source declaration as a classification problem. For the declaration of the “source in” or “source out” cases, we propose to directly take raw gas concentration and wind measurement data as features, and apply a median value filtering based extreme learning machine (M-ELM) method. Our experimental results show the efficacy of the proposed method, yielding accuracies of 93.2% and 100% for gas source declaration in the regular and irregular tetrahedron experiments, respectively. These results are better than that of the ELM-MFC (mass flux criterion) and other variants of ELM algorithms.

  • 4.
    Paul, Satyam
    et al.
    School of Engineering and Science, Tecnológico de Monterrey, Monterrey, Mexico.
    Morales-Menendez, Ruben
    School of Engineering and Science, Tecnológico de Monterrey, Monterrey, Mexico.
    Active Control of Chatter in Milling Process Using Intelligent PD/PID Control2018In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 72698-72713Article in journal (Refereed)
    Abstract [en]

    Chatter is an obstacle for achieving high-quality machining process and high production rate in industries. Chatter is an unstable self-exciting phenomenon that leads to tool wear, poor surface finish, and downgrade the milling operations. A novel active control strategy to attenuate the chatter vibration is proposed. PD/PID controllers in combination with Type-2 Fuzzy logic were utilized as a control strategy. The main control actions were generated by PD/PID controllers, whereas the Type-2 Fuzzy logic system was used to compensate the involved nonlinearities. The Lyapunov stability analysis was utilized to validate the stability of Fuzzy PD/PID controllers. The theoretical concepts and results are proved using numerical simulations. Although PD/PID controllers have been used for chatter control in machining process, the importance of stability along with the implementation of Type-2 Fuzzy logic system for nonlinearity compensation was the main contribution. In addition, active control using an Active Vibration Damper placed in an effective position is entirely a new approach with promising practical results.

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