A5064061692- Stability and Control of Uncertain Systems
- Neural Networks Stability and Synchronization
- Stability and Controllability of Differential Equations
- Matrix Theory and Algorithms
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Design
- Numerical methods for differential equations
- Control and Stability of Dynamical Systems
- Nonlinear Differential Equations Analysis
- Optimization and Variational Analysis
- Fractional Differential Equations Solutions
- Advanced Control Systems Optimization
- Control Systems and Identification
- Aerospace Engineering and Control Systems
- Chaos control and synchronization
- Neural Networks and Applications
- Mathematical Control Systems and Analysis
- Differential Equations and Numerical Methods
- Advanced Memory and Neural Computing
- Cybersecurity and Information Systems
- Elasticity and Wave Propagation
- Guidance and Control Systems
- Advanced Differential Equations and Dynamical Systems
- Quantum chaos and dynamical systems
- Advanced Research in Systems and Signal Processing
Institute of Mathematics
2014-2024
Vietnam Academy of Science and Technology
2014-2024
Vietnam Institute for Advanced Study in Mathematics
2019
Institute of Mathematics and Informatics
2006-2015
Czech Academy of Sciences, Institute of Mathematics
2006-2015
Maejo University
2010
UNSW Sydney
2002-2005
Pusan National University
2001
Ho Chi Minh City University of Education
1994
This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based augmented Lyapunov-Krasovskii functionals, new delay-dependent conditions are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate feasibility our results.
In this brief, we consider a class of uncertain linear discrete-time switched systems with state delays. By solving certain matrix and Riccati-like inequalities, sufficient conditions for the robust stability stabilizability system are given.
This study deals with the problem of exponential stability analysis for a class singular systems interval time-varying discrete and distributed delays. By constructing set improved Lyapunov–Krasovskii functionals, new delay-dependent conditions are established in terms linear matrix inequalities ensuring regularity, impulse free system. approach allows authors to compute simultaneously two bounds that characterise rate solution by various efficient convex optimisation algorithms. Numerical...
In this paper, the problem of exponential stability and stabilization for a class uncertain linear time-varying systems is considered. The system matrix belongs to polytope parameter as well its time derivative are bounded. Based on version Lyapunov theorem, new sufficient conditions via dependent state feedback controllers (i.e., gain scheduling controllers) given. Using function, formulated in terms two inequalities without introducing extra useless decision variables hence simply...
This paper is concerned with the problem of delay-dependent stability analysis for discrete-time systems interval-like time-varying delays. The solved by applying a novel Lyapunov functional, and an improved criterion obtained in terms linear matrix inequality.
In this brief, we propose an approach based on the Laplace transform and "inf-sup" method for studying finite-time stability of fractional-order systems (FOS) with time-varying delay nonlinear perturbation. Based proposed approach, establish new delay-dependent conditions FOS interval delay. The are presented in terms Mittag-Leffler function linear matrix inequalities, which less conservative easier to verify than existing ones. is also applicable uncertain time-delay FOS. Numerical example...