Developing an accurate first-principle model is an important step in employing systems
biology approaches to analyze an intracellular signaling pathway. However, an accurate first …

This article studies the stability in probability of probabilistic Boolean networks and
stabilization in the probability of probabilistic Boolean control networks. To simulate more …

Background Most of the modeling performed in the area of systems biology aims at
achieving a quantitative description of the intracellular pathways within a" typical cell" …

Background In quantitative biology, mathematical models are used to describe and analyze
biological processes. The parameters of these models are usually unknown and need to be …

This comprehensively revised second edition of Computational Systems Biology discusses
the experimental and theoretical foundations of the function of biological systems at the …

Due to the proliferation of wind turbines in power networks, participation of doubly-fed
induction generator (DFIG)-based wind turbines in the frequency regulation task is attracting …

The diagram of interactions of a genetic regulatory network is represented in a natural and
intuitive way by Boolean or other discrete models. Based largely on the structure of the …

We generalize the theory of Input-to-State Stability (ISS) and of its characterizations by
means of Lyapunov dissipation inequalities to the study of systems admitting invariant sets …

With the growing penetration of doubly‐fed induction generator (DFIG)‐based wind farms
(WFs) in power systems, short‐term voltage stability problem has become more prominent …

We consider the problem of nonlinear system identification when prior knowledge is
available on the region of attraction (ROA) of an equilibrium point. We propose an …