Sentence examples for robust dynamics from inspiring English sources

The robust nonlinear controller is designed by combining the nonlinear PD (NPD) control with the robust dynamics compensation.

It is shown that networks that employ this type of multivalued logic exhibit more robust dynamics than random networks, with few attractors and short limit cycles.

Using the model, we study random networks, networks selected for robust dynamics, and examples of biological network topologies.

We found that the number of mutations required to change a random graph into a network with robust dynamics strongly varies with a.

We considered three types of robust dynamical behavior: topological robustness means the dynamics are robust to alterations in the network wiring; mutational robustness means the dynamics are robust to alterations in the interaction strengths (with no changes to which nodes are connected); and environmental robustness means that the dynamics are robust to changes in the initial conditions.

Changes in these features and the robust photocycle dynamics of wild-type (WT) BR are apparent when the three extracellular Glu residues are mutated to Gln.

The patented robust neural dynamics model of Adeli And Park (U.S. patent 5,815,394 issued on September 29 , 1998 has been adapted for optimum design of space trusses made of commercially available cold-formed shapes in accordance with AISI specification.

Neuronal circuits may be more variable in mammalian systems and the answers to our questions of how robust target dynamics are achieved are likely to vary among different systems depending on their function and their ensuing accuracy requirements.

Control volume analysis was proposed to incorporate clinical measurements within a simple, robust fluid dynamics analysis [ 2].

However, these approaches are not well suited to address how multiple perturbations affect network output, as well as how robust network dynamics arise from heterogeneity in which several parameters are altered simultaneously across cells, tissues, and animals.

The role of frequency as a facilitatory factor in the recognition process is explained by the Hebbian learning mechanisms and the resultant stronger links and more robust activation dynamics of the more frequently activated DNA/TCs.