Sentence examples for multivariable input design from inspiring English sources

A novel multivariable input design approach is developed using a modified model predictive control objective function.

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.

In this contribution a new procedure for input design for identification of linear multivariable systems is proposed.

On a basis of these intervals, we carry out a so-called context-based Fuzzy C-Means algorithm to construct cluster centers (prototypes) in the multivariable input space.

Multivariable process identification tests in industry continue to rely on uncorrelated input signals, even though investigations have shown the benefits of other input designs which lead to correlated, higher-amplitude input signals.

This methodology exploits the symmetry present in transfer-functions relating the input and output, and converts the multivariable control design problem into independent SISO designs.

The interactor matrix is shown to be a useful tool for multivariable controller design.

This represents an application of inner outer factorization for non-minimum phase multivariable IMC design.

The employment of the model for automatic, multivariable controller design purposes is commented upon.

In this paper a robust multivariable control design for HVDC link converters is proposed.

The framework is intended for testing robust multivariable control design methods and nonlinear state-estimation algorithms.