Instead of antagonizing the pathogen, rhizosphere invasion resistance could be optimized with interaction network structure that maximizes competition with the pathogen and simultaneously minimizes the competition within the resident bacterial communities.
In particular, the possibility of improving the efficiency and simultaneously minimizing the environmental impact of energy conversion processes, together with the opportunity to reduce the dependency of fossil fuels, are main drivers for the currently increasing research and development efforts.
A control design method which combines the generalized Kalman Yakubovich Popov (KYP) lemma and the H2 control is proposed to attenuate specific narrowband disturbance and simultaneously minimize the positioning error of the control system.
To include this additional detailed reaction information and simultaneously minimize the number of species present in the model, an important assumption was made regarding the distribution of radical isomers.
Based on a previously conducted statistical design, the experimental conditions were set in order to maximize the free fatty acids (FFA) content in the oil, and simultaneously, minimize the loss of carotenoids.
Recently, we proposed a finite-horizon robust Kalman filter (RKF) through designing and simultaneously minimizing the upper bounds of unknown covariances of prediction errors, filtering residuals and estimation errors.
The first step consists of designing an optimal FDI filter that maximizes fault sensitivity performance and simultaneously minimizes the influence of unknown inputs, for a large class of model perturbations.
The second one consists of designing a H∞/H−-based residual generator that maximizes fault sensitivity performance and simultaneously minimizes the influence of unknown inputs, for a large class of model perturbations.
In this paper, a mixed integer linear programming (MILP) formulation is developed for the design and planning of supply chains with forward and reverse flows, with the goal of maximizing the expected Net Present Value (NPV) and simultaneously minimize the risk, taking into account products demand uncertainty.
The aim, therefore, for achieving the optimization of heat exchangers must be always to increase the heat transfer, and simultaneously minimize the increase in the pressure drop [1].
