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All Journal Mechatronics, Electrical Power, and Vehicular Technology Journal of Engineering and Technological Sciences Journal of ICT Research and Applications
Bambang Riyanto Trilaksono
School of Electrical Engineering and Informatics, Bandung Institute of Technology
Computer Science & IT Electrical & Electronics Engineering Engineering

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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.
A Multiclass-based Classification Strategy for Rethorical Sentence Categorization from Scientific Papers Dwi H. Widyantoro; Masayu L. Khodra; Bambang Riyanto Trilaksono; E. Aminudin Aziz
Journal of ICT Research and Applications Vol. 7 No. 3 (2013)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2013.7.3.5

Abstract

Rapid identification of content structures in a scientific paper is of great importance particularly for those who actively engage in frontier research. This paper presents a multi-classifier approach to identify such structures in terms of classification of rhetorical sentences in scientific papers. The idea behind this approach is based on an observation that no single classifier is the best performer for classifying all rhetorical categories of sentences. Therefore, our approach learns which classifiers are good at what categories, assign the classifiers for those categories and apply only the right classifier for classifying a given category. This paper employsk-fold cross validation over training data to obtain the category-classifier mapping and then re-learn the classification model of the corresponding classifier using full training data on that particular category. This approach has been evaluated for identifying sixteen different rhetorical categories on sentences collected from ACL-ARC paper collection. The experimental results show that the multi-classifier approach can significantly improve the classification performance over multi-label classifiers.
Design and application of models reference adaptive control (MRAC) on ball and beam Muhammad Zakiyullah Romdlony; Muhammad Ridho Rosa; Edwin Muhammad Puji Syamsudin; Bambang Riyanto Trilaksono; Agung Surya Wibowo
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 13, No 1 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2022.v13.15-23

Abstract

This paper presents the implementation of an adaptive control approach to the ball and beam system (BBS). The dynamics of a BBS are non-linear, and in the implementation, the uncertainty of the system's parameters may occur. In this research, the linear state-feedback model reference adaptive control (MRAC) is used to synchronize the states of the BBS with the states of the given reference model. This research investigates the performance of the MRAC method for a linear system that is applied to a non-linear system or BBS. In order to get a faster states convergence response, we define the initial condition of the feedback gains. In addition, the feedback gains are limited to get less oscillation response. The results show the error convergence is improved for the different sets of the sinusoidal reference signal for the MRAC with modified feedback gains. The ball position convergence improvement of MRAC with modified feedback gains for sinusoidal reference with an amplitude of 0.25, 0.5, and 0.75 are 35.1 %, 36 %, and 52.4 %, respectively.
Co-Authors Agung Surya Wibowo Arief Syaichu-Rohman Bomo S. Wibowo Dwi H. Widyantoro E. Aminudin Aziz Edwin Muhammad Puji Syamsudin Masayu L. Khodra Muhammad Ridho Rosa Muhammad Zakiyullah Romdlony