The phrase "assumed to jump" is correct and usable in written English.
It can be used in contexts where an action or behavior is taken for granted or expected to occur without explicit confirmation.
Example: "The cat was assumed to jump over the fence, given its agility and previous behavior."
Alternatives: "expected to leap" or "presumed to spring".
The synaptic gating variable s ( t ) will be assumed to jump upwards periodically with period Δ > 0 (time measured in ms): s ( t + 0 ) = s ( t − 0 ) + 1 if t = Δ, 2 Δ, 3 Δ, ….
We use M different CV system models {j,j=1⋯M} that only differ in the value of σ p. The model is assumed to jump between models as a Markov chain: p(m_{k+1} = j | m_{k} = i) = p_{ij}.
In order to reduce their negative fitness effect on the host, TEs were assumed to "jump" only in the germline, as somatic insertions are not inherited, and may seriously harm the host.
The displacement is assumed to possess a Heaviside jump at the localization interface and the strain becomes bounded measure including a Dirac-delta function, but the traction must be continuous at the localization interface.
s n expresses the jump of the level due to instrument maintenance or breakdown, where η i is an unknown jump amplitude and s i,n is the step function defined by s i,n = 0 for i ≤ n i and s i, n = 1 for i > n; i. n i is the jump occurrence time of the i-th jump and is assumed to be known.
This paper proposes a receding horizon control scheme for a set of uncertain discrete-time linear systems with randomly jumping parameters described by a finite-state Markov process whose jumping transition probabilities are assumed to belong to some convex sets.
The considered transition probabilities of the mode jumps are assumed to be partially unknown.
As before, the flow regime of interests is assumed to be homogeneous with no jumps in the pressure and velocity (the normal component of it) across the interfaces that separate two regions of different fluid components.
In addition, the transition probabilities of the Markovian jump process are assumed to be partly accessed, that is, the transition probabilities are partly known.
The jumping parameters are assumed to be available and the uncertainties are supposed to belong to convex bounded domains (polytope type uncertainty).
The time-delay is modeled as a Markov chain and the transition probabilities of the jumping process are assumed to be partly unknown transition probabilities.
