Sentence examples for sensitivity constraints from inspiring English sources

The proposed PID design procedure uses a software-based method to find controllers with optimal or near optimal load disturbance response subject to robustness and noise sensitivity constraints.

In addition to having the ability to obtain global optimal solution, our approach can handle sensitivity and complementary sensitivity constraints simultaneously without using an iterative procedure.

In this paper, a reduced-order robust fault detection observer (FDO) for continuous linear time-invariant systems with unknown inputs is designed by combining the algebraic unknown input decoupling principle with linear matrix inequalities (LMIs -based optimization of fauLMIs -basedity coptimization

This could be due to the sensitivity constraints in our probe design algorithm, which favor probes with lower (more negative) hybridization free energies.

The possible additional objectives for gene regulatory networks are: Sensitivity constraints should lead to networks that are robust towards parameter or input perturbation.

All other connections were considered for our revised model space, reducing the bias of an improper a priori exclusion resulting from potential sensitivity constraints in the first-level analysis.

However, due to the sensitivity constraint, samples to be measured needed to be strongly magnetic, in terms of the induced magnetization moment, above the 10-mAm2 range.

Then, the considered problem in this paper is reduced to a multi-objective problem which is to be a non-convex optimization problem, where both the coefficient sensitivity constraint and the standard H∞ norm constraint are considered simultaneously.

The optimal control problem is subject to a cost sensitivity constraint for ensuring that an acceptable level of the system performance is achieved and continuous state inequality constraints for ensuring that the concentrations of biomass, glycerol, 1,3-PD, acetate, ethanol lie within specified limits.

In this paper, a data-driven model-free design method of PID controller is proposed for a single-input single-output linear time-invariant plant for a loop shaping problem where the integral gain is maximized under the maximum sensitivity constraint.

In this paper, a comprehensive and state-of-the art survey on common surrogate modeling techniques and surrogate-based optimization methods is given, with an emphasis on models selection and validation, dimensionality reduction, sensitivity analyses, constraints handling or infill and stopping criteria.