Proportional-integral-derivative (PID) controller encounters challenge when dealing with the multiple input and multiple output (MIMO) industrial processes, because the coupling, time delay and other characteristics make the design of PID controllers complicated.
To pursuit the plant-wide optimization of multiple units industrial process, a hybrid intelligent optimization approach under dynamic environment is proposed.
Yet, many industrial processes involve multiple feed streams and thus the total set of achievable states within a reactive process is affected by the number and type of feeds available.
Commonly, industrial processes operate in multiple operating modes.
Complex industrial processes often have multiple operating modes and present time-varying behavior.
Modern complex industrial processes often have multiple operating modes due to various factors, such as different manufacturing strategies, alterations of feedstock and compositions, etc.
In fact, many industrial processes are complex and contain multiple components, which require multiple measurement techniques to individually quantify them.
In research and industrial processes, it is increasingly common practice to combine multiple measurement modalities.
