Ngo Van Hoa

ORCID: 0000-0002-4603-4682
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About
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Research Areas
  • Fuzzy Systems and Optimization
  • Fractional Differential Equations Solutions
  • Nonlinear Differential Equations Analysis
  • Functional Equations Stability Results
  • Advanced Control Systems Design
  • Numerical methods in inverse problems
  • Optimization and Mathematical Programming
  • Multi-Criteria Decision Making
  • Fuzzy Logic and Control Systems
  • Thermoelastic and Magnetoelastic Phenomena
  • Fixed Point Theorems Analysis
  • Optimization and Variational Analysis
  • Control Systems and Identification
  • Stability and Controllability of Differential Equations
  • Numerical methods for differential equations
  • Statistical and numerical algorithms
  • Chaos control and synchronization
  • Vibration Control and Rheological Fluids
  • Cybersecurity and Information Systems
  • Probabilistic and Robust Engineering Design
  • Differential Equations and Boundary Problems
  • Financial Risk and Volatility Modeling
  • Iterative Methods for Nonlinear Equations
  • Radiative Heat Transfer Studies
  • Credit Risk and Financial Regulations

Van Lang University
2022-2024

Ho Chi Minh City University of Science
2012-2023

Vietnam National University Ho Chi Minh City
2012-2023

Ton Duc Thang University
2013-2022

10.1016/j.cnsns.2014.08.006 article EN Communications in Nonlinear Science and Numerical Simulation 2014-09-05

10.1016/j.fss.2015.01.009 article EN Fuzzy Sets and Systems 2015-01-19

In this paper, we consider fuzzy fractional partial differential equations under Caputo generalized Hukuhara differentiability. Some new results on the existence and uniqueness of two types solutions are studied via  weakly contractive mapping in partially ordered metric space. application examples presented to illustrate our main results.

10.22111/ijfs.2017.3136 article EN Iranian journal of fuzzy systems 2017-04-29

In this paper, we present the studies on two kinds of solutions to fuzzy functional integro-differential equations (FFIDEs). The different types FFIDEs are generated by usage concepts derivative in fo

10.3233/ifs-130883 article EN Journal of Intelligent & Fuzzy Systems 2014-01-01

This paper investigates a novel adaptive fuzzy fractional-order nonsingular terminal sliding mode controller (AFFO-NTSMC) for second-order nonlinear dynamic systems. The technique of fractional calculus and control (NTSMC) are combined to establish NTSMC (FO-NTSMC), in which new (FO) (NTSM) surface is proposed. Then, corresponding designed provide robustness, high performance control, finite time convergence the presence uncertainties external disturbances. Furthermore, system with online...

10.1115/1.4038642 article EN Journal of Computational and Nonlinear Dynamics 2017-12-06

In this paper, we establish the global existence and uniqueness results for fuzzy functional differential equations (FFDEs) by using two different methods. We have extended generalized some comparison theorems stability theorem FFDEs with

10.3233/ifs-141315 article EN Journal of Intelligent & Fuzzy Systems 2015-01-01

Abstract In this work, a Laplace-like transform in fuzzy environment called Yang is introduced to solve differential equations (FDEs) with the order θ ∈ (1, 2] involving Caputo fractional derivative sense of gH -differentiability. Some basic properties for integer and derivatives are also provided. Furthermore, by utilizing combination between Adomian decomposition method (ADM) method, general algorithm hybrid (HYTM) solutions FDEs nonlinear form proposed. For validity accuracy novel some...

10.1088/1402-4896/acbf89 article EN Physica Scripta 2023-02-27

In this paper the random fuzzy fractional integral and differential equations are introduced. Under Lipschitz condition we obtain existence uniqueness theorems of solutions for two general forms equations. To prove assertion use an idea success ive approximations. Moreover, approach is followed to initial value problem under Caputo-type derivatives. The method illustrated by solving example.

10.3233/ifs-141368 article EN Journal of Intelligent & Fuzzy Systems 2015-09-23
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