Optimization analysis of input combinations for the multivariable systems

There are a lot of input combinations which lead to the same main outputs in multivariable systems. Taking it all round, we can find that the superiority of different combinations are usually different [1]. To get better combinations, from the static and dynamic perspectives in this paper, we present two multiobjective optimization models for the inputs combinations that lead to the same main outputs. And we can get some optimal combinations in the Pareto sense from the models. The Pareto optimal input combinations can make system outputs get more range that is dynamic in the control process. Finally, we suggest a condition and a method that can transfer input combinations smoothly from the ones with straitness dynamic range to the ones with wide dynamic range.