Sentence examples for performance control system from inspiring English sources

Not all the set objectives need (or even could) necessarily be measured, but certain shortcomings in the performance control system may prove critical.

Besides, the rotor dynamic analysis is conducted to provide the mathematic model for the unbalance attenuation with high performance control system design in order to smoothly pass across the first two bending critical speeds before reaching the rated speed of 15,000 rpm.

Design of high performance control systems often requires analytical system models.

By resorting to this scheme, a set of advanced methodologies for multiscale modeling, model simplification, and multiscale controller synthesis can be seamlessly integrated to construct a high-performance control system.

This paper describes considerations for identifying models of large, lightly damped, flexible space structures to be used for high-performance control system design and analysis.

To realize such the function, we need the high-performance control system that can also adjust the response property by itself, and also need the handling interface mechanism that can sense the input forces correctly.

A high-performance control system called "predictor regulator" is proposed, its governing laws are derived, and it is applied to simulated processes to evaluate its characteristics, and to real processes to demonstrate its feasibility.

The wide range of applications enables a considerable market potential for such devices, but yields changing control requirements due to the high variety of possible positioned objects and positioning tasks and requires therefore a high-performance control system.

This paper presents an approach for the design of reliable high-performance control systems for rotorcraft in order to enhance handling qualities and ensure closed-loop stability.

Modern spacecraft are usually equipped with various flexible appendages, which bring great challenges to the design of high-performance control systems.

The toolbox consists of modules for multivariable input signal design (multisine and PRBS), frequency response estimation, and control-relevant frequency response curvefitting, leading to models whose end use is the design of high-performance control systems.