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Research article

First published 2017-3-11

SM-Algorithms for Approximating the Variable-Order Fractional Derivative of High Order

B. P. Moghaddam, J. A. T. Machado

Fundamenta Informaticae

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Research article

First published 2006-8

Complete Orders,Categories and Lattices of Approximations

Marcin Wolski

Fundamenta Informaticae

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Research article

First published 2016-7

Approximations and uncertainty measure- ments in ordered information systems

Qinrong Feng, Haibo Jing

Intelligent Data Analysis: An International Journal

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Research article

First published 2016-10

Impulse energy approximation of higher-order interval systems using Kharitonov’s polynomials

M. Siva Kumar, N. Vijaya Anand, R. Srinivasa Rao

Transactions of the Institute of Measurement and Control

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Research article

First published 2015-12

Incremental Computing Approximations with the Dynamic Object set in Interval-valued Ordered Information System

Jianhang Yu, Weihua Xu

Fundamenta Informaticae

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Research article

First published 2015-8

Comparison of various linear plate theories in the light of a consistent second-order approximation

Patrick Schneider, Reinhold Kienzler

Mathematics and Mechanics of Solids

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Research article

First published 2024-1

Generalized method for rational approximation of SISO/MIMO fractional-order systems using squared magnitude function

Suraj Damodaran, TK Sunil Kumar, AP Sudheer

Transactions of the Institute of Measurement and Control

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Research article

First published 2016-5

Approximation of a fractional order model by an integer order model: a new approach taking into account approximation error as an uncertainty

Jocelyn Sabatier, Christophe Farges, Lamine Fadiga

Journal of Vibration and Control

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Research article

First published 2023-4

Fuzzy approximation-based adaptive tracking control for high-order nonlinear systems with asymmetric full-state constraints

Jianqin Liu, Yan Jiang

Transactions of the Institute of Measurement and Control

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Research article

First published 2002-02

A Second-Order Approximation for DEVS Simulation of Continuous Systems

Ernesto Kofman

SIMULATION

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