Research ArticleOpen accessPhrase in the titleMembrane Computing as a Modeling Tool for Discrete SystemsRavie Chandren Muniyandi, Abdullah Mohd. ZinProblem statement: Discrete systems have been modeled by using Ordinary Differential Equation (ODE) in which the variation of concentration of an object was modeled as continuous and deterministic manner, contrary to the real behaviors of such systems. Although, this approaches able to generate the general behavior of the system, the specific discrete processes and stochastic behaviors in the system have … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,793 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSome Kinds of Distributional Chaos for Non-Autonomous Discrete SystemsYongxi Jiang, Tianxiu Luand, Xiaofang YangIn this study, several kinds of distributional chaos are defined in a non-autonomous discrete system and the chaotic behavior of the mapping sequence fn, ∞ = (fn, fn+1···), ∀n ∈ N (N is a set of natural numbers) is studied. Then, the uniform distributional chaos and maximal distributional chaos of the compound system deduced by f1, ∞ are discussed …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 4 Nov 2021 · 6,260 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Delay-Dependent for Discrete-Time SystemsKreangkri RatchagitProblem statement: This study is concerned with the problem of delay-dependent stability analysis for discrete-time systems with interval-like time-varying delays. Conclusion/Recommendations: The problem is solved by applying a novel Lyapunov functional and an improved delay-dependent stability criterion is obtained in terms of a linear matrix inequality. …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 7,076 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNew sufficient condition of Discrete-time systems of neural networksManlika Tanusit, Kreangkri RatchagitProblem statement: In this study, we derive a new sufficient condition for asymptotic stability of the zero solution of delay-differential system of neural networks in terms of certain matrix inequalities by using a discrete analog of the new Lyapunov second method. Conclusion/Recommendations: The problem is solved by applying a novel Lyapunov functional and an improved delay-dependent stability criterion is obtained … …American Journal of Applied Sciences, Vol. 8, Issue 2 · 28 Feb 2011 · 7,005 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFailure Diagnosis on Discrete Event SystemsSihem Kechida, Nasr Eddine DebbacheThe modern technology advances to a point where it is possible and extensively desirable to improve reliability and the technical process safety. This is achieved by computer implanted FDI procedures (Fault Detection and Isolation). However, the malfunction of actuators, sensors and of the process components, as well as erroneous actions of human operators can have some disastrous consequences in high … …American Journal of Applied Sciences, Vol. 2, Issue 11 · 30 Nov 2005 · 6,888 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleControl of Hybrid Systems With Independent Continuous and Discrete GoalsM. De la Sen, J.C. Soto, A. Gallego, J.L. MalainaThis paper deals with the control of a class of perfectly modelled linear hybrid systems which consist of two, in general coupled, subsystems one being continuous -time while the second one is digital. Both subsystems are driven by continuous time and sampled values of a control input. The description of the overall system is given through an extended hybrid system … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,133 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign of a Merged DSP Microcontroller for Embedded Systems using Discrete Orthogonal TransformA. K. Rath, P. K. MeherIn this paper we have proposed the design of a DSP microcontroller where the processor load is significantly reduced by relegating the math-intensive DSP algorithm to dedicated transform computing modules. It is shown that the use of such transform modules will facilitate scalability, reusability and flexibility for implementation of wide varieties of DSP functionalities. Moreover, it would be possible to … …Journal of Computer Science, Vol. 2, Issue 5 · 31 Aug 2006 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMembrane Computing as the Paradigm for Modeling Systems BiologyRavie Chandren Muniyandi, Abdullah Mohd. ZinMembrane computing is a field in computer science that is inspired from the structure and the processes of living cells and is being considered as an alternative in solving the limitations in conventional mathematical approaches by taking into consideration its essential features that are of interest for research in systems biology. Advancements in computability make it feasible to handle huge … …Journal of Computer Science, Vol. 9, Issue 1 · 11 Mar 2013 · 6,846 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNonlinear Piecewise-Defined Difference Equations with Reciprocal Quadratic TermsRamadan Sabra, Saleem Shafiq Al-AshhabIn this study we consider the several types of piece-wise defined sequences. We prove some results concerning the behavior of the sequence. In some cases we prove that the terms repeat themselves in certain patterns and we prove in other cases that the terms grow monotonically after few terms and approaches infinity. …Journal of Mathematics and Statistics, Vol. 11, Issue 3 · 18 Nov 2015 · 6,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 704 accessesView PDFCite