Results 141 to 150 of about 16,456 (286)
ABSTRACT Bacteriophages, or phages (viruses of bacteria), play significant roles in shaping the diversity of bacterial communities within the human gut. A phage‐infected bacterial cell can either immediately undergo lysis (virulent/lytic infection) or enter a stable state within the host as a prophage (lysogeny) until a trigger event, called prophage ...
Hyacinthe M. Ndongmo Teytsa+3 more
wiley +1 more source
Does the application of Jensen's integral inequality and LMIs confirm exponential stability in delayed systems with gapped gamma distribution through augmented Lyapunov function? [PDF]
Rashid SM.
europepmc +1 more source
Computing control Lyapunov functions via a Zubov type algorithm [PDF]
Lars Grüne, F. Wurth
openalex +1 more source
Nonlinear control of a hybrid pneumo‐hydraulic mock circuit of the cardiovascular system
Abstract Hybrid cardiovascular mock circuits (HMC), designed for dynamic testing of Ventricular Assist Devices (VAD), offer physiologic accuracy by sequestering model complexity in silico and ease of construction by reducing number of model elements in vitro.
Ahmed Alhajyounis+8 more
wiley +1 more source
Robust H ∞ control of neutral delayed systems using descriptive discretized Lyapunov function method: Design and stability analysis. [PDF]
Sabzevari K+3 more
europepmc +1 more source
Robust H ∞ Filter Design via Parameter-Dependent Lyapunov Functions *
Carlos E. de Souza+2 more
openalex +1 more source
Lyapunov functions for stable cascades and applications to global stabilization [PDF]
Frédéric Mazenc+2 more
openalex +1 more source
This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley +1 more source
Pierre Pageault, Albert Fathi
openaire +2 more sources
Reinforcement learning for optimal control of stochastic nonlinear systems
Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
wiley +1 more source