A new delay-dependent criterion for neural systems with multiple delays
Journal of Computational and Applied Mathematics
Stability of Time-Delay Systems
Stability of Time-Delay Systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems
Automatica (Journal of IFAC)
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
Technical communique: Absolute stability of time-delay systems with sector-bounded nonlinearity
Automatica (Journal of IFAC)
Delay-dependent robust H∞ control for uncertain systems with a state-delay
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Delay-dependent robust H∞ control for T--S fuzzy system with interval time-varying delay
Fuzzy Sets and Systems
Delay-dependent robust H∞ control for uncertain systems with time-varying delay
Information Sciences: an International Journal
Journal of Computational and Applied Mathematics
IEEE Transactions on Fuzzy Systems
Improved robust H∞control for delay systems with uncertainties
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IEEE Transactions on Fuzzy Systems
Robust stability criteria for systems with interval time-varying delay and nonlinear perturbations
Journal of Computational and Applied Mathematics
New delay-dependent stability criteria for T--S fuzzy systems with time-varying delay
Fuzzy Sets and Systems
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
New results on delay-dependent robust stability of uncertain time delay systems
International Journal of Systems Science
Mathematics and Computers in Simulation
Hi-index | 7.29 |
This paper proposes an approach for the robust stability of uncertain systems with interval time-varying delay. The key features of the approach include the introduction of uncorrelated augmented matrix items into the Lyapunov functional and the use of a tighter bounding technology. Unlike existing methodologies, the proposed approach involves neither free weighting matrices nor any model transformation. It can, however, lead to much less conservative stability criteria than the existing ones for the systems under consideration. Numerical examples show that the proposed criteria improve the existing results significantly with much less computational effort.