Sentence examples for dynamic and robust from inspiring English sources

However, how to achieve both the objectives simultaneously, i.e. dynamic and robust aggregation is still not considered.

When applied to a catchment, (Campaspe River, southern Australia) the model produced a dynamic and robust environmental risk time series that clearly showed that when the observed river flow is drawn away from the optimum range of environmental flow demand, the environmental risk increased.

We present a holistic, dynamic and robust approach that is based on a statistical analysis of the entire flow regime and accounts for flow stress indicators to produce an environmental risk time series based on the consequence of departures from the optimum flow range of a river or reach.

Highly dynamic and robust robots tend to have increased complexity as well as cost of development and manufacturing.

Our proposal overcomes some of the main issues (such as rapid deployment, accuracy, and dynamic and robust behaviour) of existing solutions and operational environments.

To overcome these kind of problems and to provide a more dynamic and robust solution, we propose the body-centered cubic (BCC) as well as the face-centered cubic (FCC) and the tetrahedral algorithm.

Our solution leverages the advantages of an "in-the-network" solution to offer a wide range of flexible adaptation parameters, while maintaining an architecture that is dynamic, flexible and robust.

Simulation results demonstrate the effectiveness of the proposed nonlinear excitation controller in terms of improving dynamic stability and robust performance under various operating conditions.

The dynamic modeling and robust control for a three-prismatic-revolute-cylindrical (3-PRC) parallel kinematic machine (PKM) with translational motion have been investigated in this paper.

Given a dynamic system, with model uncertainties appearing both in the left-hand side and the right-hand side of the underlying MPC optimisation problem, the proposed framework uses a dynamic programming and robust multi-parametric optimization approach to obtain the current and future control actions as a function of the initial system state i.e. a feedback control law.

Her research interests focus mainly on non-linear control theory and applications, adaptive dynamic programming and robust control.