Sentence examples for multivariable control in from inspiring English sources

Model predictive control (MPC) has become the leading form of advanced multivariable control in the chemical process industry.

Other issues, discussed in the paper, include inventory control, decentralized versus multivariable control, loss in performance by bottom-up design, and recycle systems including the snowball effect.

Other issues, discussed in the paper, include inventory and production rate control, decentralized versus multivariable control, loss in performance by bottom-up design, and a definition of a the "complexity number" for the control system.

More reliable indices to characterize the robustness of multivariable control systems in the face of strong disturbance directionality and model uncertainty are presented.

Linear Model Predictive Control (MPC) continues to be the technology of choice for constrained multivariable control applications in the process industry.

An analysis of the potential benefit from using a multivariable control strategy in favor of the current strategy based on single loop theory is carried out and proves that the interactions in the system are not negligible and a subsequent controller design should take this into account.

In this paper a multivariable control design task in the field of parallel hybrid electric vehicles is discussed.

The hydrodynamically coupled process dynamics consist of several actuator loops and demand a multivariable control design approach in the face of system nonlinearities and uncertainties.

In the proposed multivariable control system, human body movements in five directions (as the five outputs) are controlled via manipulation of the forces in vertical and horizontal directions and a moment about y-axis (as the three inputs).

The multivariable control system is implemented in a small wind turbine laboratory system.

A simulation and animation tool for education in multivariable control is presented.