analog simulation (Nagayanagi Co Ltd)
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analog simulation
Analog Simulation, supplied by Nagayanagi Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/analog+simulation/analog+simulation/10__1007_slash_s40072___024___00329___w-578-7-2
Average 90 stars, based on 1 article reviews
Analog Simulation, supplied by Nagayanagi Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/analog+simulation/analog+simulation/10__1007_slash_s40072___024___00329___w-578-7-2
Average 90 stars, based on 1 article reviews
analog simulation - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Synchronisation of two different uncertain fractional-order chaotic systems with unknown parameters using a modified adaptive sliding-mode controller Article Snippet: Article Title: Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion. Article Snippet: Contents lists available at ScienceDirect ISA Transactions https:// 0019-05 n Corr E-m Pleas syste journal homepage: www.elsevier.com/locate/isatrans Research article Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion T. Sathiyaraj, P. Balasubramaniam n Department of Mathematics, The Gandhigram Rural Institute - Deemed University, Gandhigram 624302, Dindigul, Tamil Nadu, India a r t i c l e i n f o Article history: Received 24 August 2016 Received in revised form 23 October 2017 Accepted 6 November 2017 MSC: 26A33 93B05 60J65 60G22 60H10 Keywords: Fractional derivatives Mittag-Leffler function Fractional Brownian motion Complete controllability Stochastic integrodifferential system doi.org/10.1016/j.isatra.2017.11.005 78/& 2017 ISA.. Published by Elsevier Ltd. All esponding author. ail addresses: sathiyaraj133@gmail.com (T. Sat e cite this article as: Sathiyaraj T, ms with fractional Brownian motion a b s t r a c t This paper presents a new set of sufficient conditions for controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion (fBm) in finite dimensional space using fractional calculus, fixed point technique and stochastic analysis approach.. In particular, we discuss the complete controllability for nonlinear fractional stochastic integrodifferential systems under the proved result of the corresponding linear fractional system is controllable. Article Title: $$L_p$$-solvability and Hölder regularity for stochastic time fractional Burgers’ equations driven by multiplicative space-time white noise Article Snippet: Article Title: An effective scheme for solving system of fractional Volterra–Fredholm integro-differential equations based on the Müntz–Legendre wavelets Article Snippet: In this study, a class of wavelet techniques is used for finding approximate solutions of systems of fractional integro differential Volterra – Fredholm (FIDVF) equations based on the Müntz − Legendre wavelets (MLW).. For the suggested method, operational matrices of the Riemann – Liouville fractional (RLF) integral and Caputo fractional (CF) derivative operators are obtained and used for converting the system of the integral equations into a system of linear or nonlinear algebraic equations.. Using the Lipschitz’s condition for multivariate functions and the fixed point theorem, the existence and uniqueness of the solution are shown and also convergence, stability and error bound of the solution in interval 0,1 are investigated in this work. Article Title: Computational methods based laplace decomposition for solving nonlinear system of fractional order differential equations Article Snippet: [3] M. Ichise, Article Title: Parameter identification of fractional order linear system based on Haar wavelet operational matrix. Article Snippet: Fractional order systems can be more adequate for the description of dynamical systems than integer order models, however, how to obtain fractional order models are still actively exploring.. In this paper, an fractional order systems described by fractional order differential equations are transformed into fractional order integral equations.. Taking use of the Haar wavelet operational matrix of the fractional order integration, the fractional order linear system can easily be converted into a system of algebraic equation. |