Articles
An LMI Approach to Hâ Performance Analysis of Continuous-Time Systems with Two Additive TimeVarying Delays
Wrastawa Ridwan;
Bambang Riyanto Trilaksono
Journal of Engineering and Technological Sciences Vol. 43 No. 2 (2011)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.5614/itbj.eng.sci.2011.43.2.4
This paper investigates the problem of Hâ performance analysis for continousâtime systems with two additive time -varying delays in the state. Our objective is focused on stability analysis of a continuous system with two timevarying delays with an Hâ disturbance attenuation level γ. By exploiting Lyapunov-Krasovski functional and introducing free weighting matrix variables, LMI stability condition have been derived.
Linear Parameter-Varying Versus Linear Time-Invariant Reduced-Order Controller Design for Turboprop Aircraft Dynamics
Widowati Widowati;
Bambang Riyanto;
Hari Muhammad
Journal of Engineering and Technological Sciences Vol. 44 No. 2 (2012)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.5614/itbj.eng.sci.2012.44.2.5
The applicability of parameter-varying reduced-order controllers to aircraft models is proposed. A generalization of the balanced singular perturbation method of the linear time-invariant (LTI) system was used to reduce the order of the linear parameter-varying (LPV) system. Based on the reducedorder model, a low-order LPV controller was designed using the H∞ synthesis technique. The performance of the reduced-order controller was examined by applying it to the lateral-directional control of a 20th-order aircraft model. Furthermore, the time responses of the closed-loop system with several reducedorder LPV controllers and a reduced-order LTI controller were compared. The simulation results show that an , 8th -order LPV controller can maintain stability and provide the same level of closed-loop system performance as a full-order LPV controller. This was not the case with the reduced-order LTI controller, which cannot maintain stability and performance for all allowable parameter trajectories.
Hâ Estimation Approach to Active Noise Control: Theory, Algorithm and Real-Time Implementation
Bambang Riyanto
Journal of Engineering and Technological Sciences Vol. 35 No. 2 (2003)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.5614/itbj.eng.sci.2003.35.2.5
This paper presents an Hâ estimation approach to active control of acoustic noise inside an enclosure. It is shown how Hâ filter theory and algorithm can be effectively applied to active noise control to provide important robustness property. Real-time implementation of the algorithm is performed on Digital Signal Processor. Experimental comparison to conventional FxLMS algorithm for active noise control is presented for both single channel and multichannel cases. While providing some new results, this paper also serves as a brief review on Hâ filter theory and on active noise control.
Filtered-X Radial Basis Function Neural Networks for Active Noise Control
Bambang Riyanto;
Lazuardi Anggono;
Kenko Uchida
Journal of Engineering and Technological Sciences Vol. 36 No. 1 (2004)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.5614/itbj.eng.sci.2004.36.1.2
This paper presents active control of acoustic noise using radial basis function (RBF) networks and its digital signal processor (DSP) real-time implementation. The neural control system consists of two stages: first, identification (modeling) of secondary path of the active noise control using RBF networks and its learning algorithm, and secondly neural control of primary path based on neural model obtained in the first stage. A tapped delay line is introduced in front of controller neural, and another tapped delay line is inserted between controller neural networks and model neural networks. A new algorithm referred to as Filtered X-RBF is proposed to account for secondary path effects of the control system arising in active noise control. The resulting algorithm turns out to be the filtered-X version of the standard RBF learning algorithm. We address centralized and decentralized controller configurations and their DSP implementation is carried out. Effectiveness of the neural controller is demonstrated by applying the algorithm to active noise control within a 3 dimension enclosure to generate quiet zones around error microphones. Results of the real-time experiments show that 10-23 dB noise attenuation is produced with moderate transient response.
Model Predictive Control for Linear Complementarity and Extended Linear Complementarity Systems
Bambang Riyanto;
Ibrahin Hakim
Journal of Engineering and Technological Sciences Vol. 37 No. 2 (2005)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.5614/itbj.eng.sci.2005.37.2.4
In this paper, we propose model predictive control method for linear complementarity and extended linear complementarity systems by formulating optimization along prediction horizon as mixed integer quadratic program. Such systems contain interaction between continuous dynamics and discrete event systems, and therefore, can be categorized as hybrid systems. As linear complementarity and extended linear complementarity systems finds applications in different research areas, such as impact mechanical systems, traffic control and process control, this work will contribute to the development of control design method for those areas as well, as shown by three given examples.
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
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.
Hâ 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
This paper proposes the control design ofa nonlinear polynomial fuzzy system with Hâ 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 Hâ 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 Hâ control designfor nonlinear polynomial fuzzy systems.
TRANSFORMING RHETORICAL DOCUMENT PROFILE INTO TAILORED SUMMARY OF SCIENTIFIC PAPER
Masayu Leylia Khodra;
Mohammad Dimas;
Dwi Hendratmo Widyantoro;
E. Aminudin Aziz;
Bambang Riyanto Trilaksono
Jurnal Ilmiah Kursor Vol 6 No 3 (2012)
Publisher : Universitas Trunojoyo Madura
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
Since abstract of scientific paper is author biased, readers’ required information may not be included in the abstract. Tailored summary may help them to get a summary based on their information needs. This research is the first one that implements tailored summary system for scientific paper. Tailored summary applies information extraction that transforms a scientific paper into Rhetorical Document Profile, a structured representation of paper content based on rhetorical scheme of fifteen slots. This research adapted building plan that used rhetorical scheme of seven slots. We also implement tailored summary system. After generating initial summary, surface repair is conducted to improve summary readability. Each sentence in initial summary is combined with template phrase based on syntax-tree combination method. There are five groups of template phrases provided in surface repair. We construct evaluation standards by asking five human raters. The best method for sentence selection subsystem that uses Maximal Marginal Importance-Multi Sentence is employing TF.IDF weighting system with precision/recall of 0.61. The surface repair subsystem has acceptance of 0.91.
ANT-WUM: ALGORITMA BERBASIS ANT COLONY OPTIMIZATION UNTUK WEB USAGE MINING
Abdurrahman -;
Bambang Riyanto Trilaksono;
Rila Mandala;
Rajesri Govindaraju
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (808.665 KB)
|
DOI: 10.34151/technoscientia.v2i1.67
This paper is continuity research from our previous work in Ant-Miner implementation for web user classification. In our previous work, we implemented Ant-Miner algorithm for web user classification same with Ant-Miner for classification task in data mining domain. In this paper, we propose modification of heuristic function of Ant-Miner based on web usage mining (WUM) problem, that we name Ant-WUM. The heuristic function ACO is based on local problem domain. Information theory is common heuristic function used in classification task, such as implemented in C4.5 algorithm and ant-miner algorithm. Ant-WUM uses heuristic function based on closeness principle that implemented in clustering problem in WUM. We propose to use data from web access log, profile user, and transaction data to provide some attributes as term candidate of classification rule by Ant-WUM algorithm. We compared Ant-WUM algorithm with Ant-Miner algorithm. The result indicates that Ant-WUM has competitive result in term of accuracy rate, amount of rules, and computation time.
Optimization of Salient Object Segmentation by using the influence of color in Digital Image
Edvin Ramadhan;
Iping Supriana Suwardi;
Bambang Riyanto Trilaksono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1273.409 KB)
|
DOI: 10.11591/eecsi.v2.775
Human attention is more likely to be interested indifferent objects or striking in image processing called salientobject. Existing approaches worked well in finding the salientobject in this image, but they have not been able to accuratelydetect where objects should stand out due to the influence of lightintensity, there are various object results of salient object detectionin which area is still cut off or do not appear because they do notinclude salient area. We offer solutions to fix these problems byoptimizing salient object detection prioritizing object area aftersalient area, through checking comparison of the color regionlocated around the area of the salient. This Optimization of theapplication is able to improve to 83% from 100 salient object whichhas this problem, and able to produce more natural Saliency Cut.