Data collected from local points will be communicated to the central controller and processed in time, and commands may be issued to maintain stability, balance load with generation, or achieve any other energy management functionality as initiated by the operator or automatically by the system.
In the center is a process flow diagram (PFD) of the pressure-regulating station, on the left are process upsets and accident scenarios, at the top are controllers and process variable information, on the right is a single variable chart, and at the bottom is the gas concentration of dispersed gas.
The presented model is suitable for controller design and process optimization.
Robust multivariate methods for dealing with outliers are essential especially when process data are used in applications such as parameter estimation, controller design and process monitoring.
Robust multivariate methods for dealing with problems caused by outliers in the data are essential especially when process data are used to validate mechanistic models, develop regression models, and in applications such as controller design and process monitoring.
The selection of the controller structure is based on a communication cost term that penalizes pairings between the manipulated and the controlled variables based on the tuning parameters of the MPC controller and the process gains.
With respect to the proposed controller and corresponding processes with time delay, the closed-loop time domain responses are estimated quantitatively.
Existing conventional online secondary path modeling algorithms for active noise control system have the characteristic that the operation of the controller and the modeling process of the secondary path are mutually interfered.
Key issues in process control include process controller and reference punch force trajectory design.
