Systems & Control Letters

Papers
(The H4-Index of Systems & Control Letters is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Fixed-time control design for nonlinear uncertain systems via adaptive method93
Stability analysis for a class of stochastic delay nonlinear systems driven by G-Brownian motion74
A hidden Markov model based control for periodic systems subject to singular perturbations50
Generalized value iteration for discounted optimal control with stability analysis36
Practical exponential stability of stochastic age-dependent capital system with Lévy noise34
Data-based stabilization of unknown bilinear systems with guaranteed basin of attraction34
Observer-based event-triggered boundary control of a linear 2 × 2 hyperbolic systems31
Event-triggered integral sliding mode control for linear systems with disturbance31
Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel28
Memoryless linear feedback control for a class of upper-triangular systems with large delays in the state and input28
Secure and privacy preserving consensus for second-order systems based on Paillier encryption28
A simple finite-time distributed observer design for linear time-invariant systems27
Trade-offs in learning controllers from noisy data26
Finite-time and fixed-time input-to-state stability: Explicit and implicit approaches25
Stability properties of multi-stage nonlinear model predictive control24
On the use of low-pass filters in high-gain observers23
Robust formation control under state constraints of multi-agent systems in clustered networks22
Boundary Mittag-Leffler stabilization of coupled time fractional order reaction–advection–diffusion systems with non-constant coefficients21
Identification of port-Hamiltonian systems from frequency response data20
On the stability properties of Gated Recurrent Units neural networks20
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