@article {10.3844/ajassp.2012.331.336,
article_type = {journal},
title = {A Unique Novel Approach for Design and Analysis of A Robust Decentralized Self-Tuning Fuzzy PI Controller for a Multi Input Multi Output Process },
author = {Therese, P. Sujatha and Nair, N. Kesavan},
volume = {9},
year = {2012},
month = {Jan},
pages = {331-336},
doi = {10.3844/ajassp.2012.331.336},
url = {https://thescipub.com/abstract/ajassp.2012.331.336},
abstract = {Problem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.They  have more than a single  controlled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, it  is a difficult task because of the non stationary behaviour, substantial coupling of multiple variables and severe disturbances. Self tuning fuzzy control is a technique applied to control  a MIMO process when the plant parameters are subjected to perturbations and when the dynamics of the systems are too complex for a mathematical model to describe. In this study,  a decentralized self tuning fuzzy PI controller is designed for a Multi Input Multi Output Process. Results: The performances of the proposed STFPIC for the MIMO process are compared with fuzzy PI controller under both normal and under -10% deviation in time constant in terms  of the performance measure  Integral Time Absolute Error (ITAE). Conclusion: The proposed STFPIC  for the MIMO process shows remarkably improved performance than FPIC.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}