Epilepsy is a complex set of disorders that can involve many areas of the cortex, as well as
underlying deep-brain systems. The myriad manifestations of seizures, which can be as …

In the present chapter we discuss methodologies for the modelling, calibration and
validation of cellular signalling pathway dynamics. The discussion begins with the typical …

The past decades have seen great advances in theories and applications of Markov jump
systems (MJSs). The systems can effectively model dynamic systems involving stochastic …

The theory of probability and stochastic processes is often neglected in the education of
chemists and biologists, although modern experimental techniques allow for investigations …

Background The quasi steady-state approximation (QSSA) is frequently used to reduce
deterministic models of biochemical networks. The resulting equations provide a simplified …

Following its introduction over three decades ago, the cohort model has been used
extensively to model population trajectories over time in decision-analytic modeling studies …

In this paper, the problem of H infin control for a class of Markov jump linear system (MJLS)
with timevarying transition rates (TRs) is investigated. The time-varying character of TRs is …

Publisher Summary This describes the complexity of cell-biological systems that has an
“inherent” basis, related to the nature of cells (large number and variety of components …

In this paper, the sliding mode control (SMC) problem for continuous‐time Markovian jump
systems (MJSs) is considered, in which the transition rate matrix (TRM) is partially unknown …

The traditional metabolic engineering has been used to improve the performance of
industrial strains to produce variety of chemicals, such as bulk chemicals, biofuels, and …