Sentence examples for multivariable processes and from inspiring English sources

The interaction between variables is inherent in multivariable processes and this fact may complicate their operation and control system design.

The genetic algorithm is applied to design FOPID controllers for a multivariable process and the results are compared with the responses of a H∞ based multivariable FOPID controller.

The design of general transfer function type controller is based on the fundamental relations under decoupling of a multivariable process, and the characterization of the unavoidable time delays and non-minimum phase zeros that are inherent in the decoupled loops.

The application of adaptive control for a class of multivariable processes in heating, ventilating and air conditioning (HVAC) systems is studied.

This paper improves an inverted decoupling technique for a class of stable linear multivariable processes with multiple time delays and nonminimum-phase zeros.

A PLS-based multirate dynamic modeling is proposed for quality prediction at a faster rate for multivariable processes with different sampling rates between the process and quality variables.

Ill-conditioned multivariable processes exhibit significantly strong interactions among system variables and large gain directions from the system inputs to the outputs, which makes the identification and control a challenging task.

In today's power industry the number of available qualified tuners is dwindling and there is a great need for better tuning tools to maintain and improve the performance of complex multivariable processes.

For the multivariable processes, this step is followed by choosing the appropriate input and output pairs for the design of SISO (or block) controllers.

In this paper, an improved decoupling structure is first proposed for multivariable processes, where the resulted decoupler can avoid zero-pole cancelation and simultaneously guarantee feasibility by tuning of additional parameters.

The obtained results validate the MOED procedure as a practical and useful technique for parametric controller tuning in multivariable processes.