Even for frequently occurring environmental changes, attractor selection can be beneficial for cells since it requires no specific signal transduction apparatus, if speed of state transition is not an issue.
Leaking rate α of the leaky-integrated nonlinear unit represents the dynamic updating speed of hidden states.
The converging speed of error states can be arbitrary turned by assigning the corresponding dynamics of the sliding surfaces.
As can be seen from the figures, larger values of help to increase the convergence speed of system states while larger value of and smaller values of help to increase the precision.
We find that direct evolution of allometric change, i.e., the evolutionary adaptation of the speed of system states on transient trajectories in phase space, is advantageous for a cellular differentiation task.
Although there is potential for SWAPs given the mean wind speed of the state, offshore SWAPs locations south of the state will be preferable.
The supervisory control task is solved by searching for a path within the Petri net from the current towards the final state and by using the relevant quantitative models to determine the speed of the state transitions.
This is mainly due to the extremely high speed of the state-of-the-art network links and to the fact that in order to support advanced Quality of Service (QoS), a large number of independent queues is desirable.
If N SN,i (t) > 0 and node i is adjusting its activity state θ i (t) under the selfish rule at time instant t, then at the next time instant t + 1, its activity state will be theta_{i} (t + 1) = theta_{i} (t) + s_{theta } times left( {frac{{sumnolimits_{{j in varOmega_{SN,i} (t)}} {theta_{j} (t)} }}{{N_{SN,i} (t)}} - theta_{i} (t)} right), (20 where (s_{theta }) is the speed of adjusting state.
In theatres and art galleries the Futurists devised performances that celebrated the ecstasy of speed, explored states of madness, and depicted man as a machine.
