Particularly, in [3 5], the authors studied the stability and chaos when (f(x)) and the system parameters a, b satisfy some specific conditions.
It is observed that with the same system parameters, a better performance is achieved by the proposed approach compared to that in [28].
It is further shown that for a certain range of system parameters, a negative rejection (based on the feed concentration) is possible at steady state.
Due to inherent nonlinearities in PEMFC dynamics and variations of the system parameters, a linear control with fixed gains cannot control the PEMFC system properly.
To investigate the effect of various system parameters, a comprehensive set of experiments are conducted for the proposed integer programming model.
The system parameters a, b, c are optimized by the differential evolution particle swarm optimization (DEPSO) method to obtain the best output effect.
Now, we now study the effects of variations in the values of the system parameters A, a, b, h, c, k, s, d, and u on the optimal total profit.
Two model alternatives for the rate of concentration change of species x are given by where we assume the four kinetic parameters as well as the system parameters a and b to be distributed diag(η E)), the initial condition as.
This makes the estimation and further processing of electrical power system parameters an essential feature of the power system analysis [29].
We will show that, depending upon the discount factor and other system parameters, an SPE that allows non-trivial video exchange is sustainable in the long term interaction.
