Control structure selection based on Type-1 and Type-2 T-S fuzzy models for MIMO processes

This paper presents a control structure selection guideline based on Type-1 and Type-2 T-S fuzzy models for multi-input-multi-output (MIMO) processes. By virtue of relative normalized gain array (RNGA), the interactions between process inputs and outputs are analyzed to determine a decentralized control configuration as well as a richer control structure for an MIMO process controller design. Simple calculating procedures based on both Type-1 and Type-2 T-S fuzzy models are provided. An MIMO process is utilized as an example to demonstrate effectiveness and robustness of the proposed method.