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Arief Syaichu-Rohman
School of Electrical Engineering and Informatics, Bandung Institute of Technology
Engineering

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Journal : Journal of Engineering and Technological Sciences

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Dissipative Controller Design for Networked Control Systems via the Markovian Jump System Approach Asep Najmurrokhman; Bambang Riyanto T.; Arief Syaichu-Rohman; H. Hendrawan
Journal of Engineering and Technological Sciences Vol. 45 No. 1 (2013)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2013.45.1.3

Abstract

This paper describes a dissipative controller design for networked control systems modeled by the Markovian jump system. Dissipativity refers to the existence of a supply rate dealing with the system such that the closed-loop system has a dissipative property. The main result of this paper is a solvability condition in terms of linear matrix inequalities for achieving dissipativity of a dynamic output feedback problem in networked control systems via the Markovian jump system approach. A numerical example is given to show the efficacy of the proposed design.
H∞ Control of Polynomial Fuzzy Systems: A Sum of Squares Approach Bomo S. Wibowo; Bambang Riyanto Trilaksono; Arief Syaichu-Rohman
Journal of Engineering and Technological Sciences Vol. 46 No. 2 (2014)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2014.46.2.3

Abstract

This paper proposes the control design ofa nonlinear polynomial fuzzy system with H∞ performance objective using a sum of squares (SOS) approach. Fuzzy model and controller are represented by a polynomial fuzzy model and controller. The design condition is obtained by using polynomial Lyapunov functions that not only guarantee stability but also satisfy the H∞ performance objective. The design condition is represented in terms of an SOS that can be numerically solved via the SOSTOOLS. A simulation study is presented to show the effectiveness of the SOS-based H∞ control designfor nonlinear polynomial fuzzy systems.
Co-Authors Asep Najmurrokhman Bambang Riyanto T. Bambang Riyanto Trilaksono Bomo S. Wibowo H. Hendrawan