|Intelligent Digital Redesign for Sampled-data Fuzzy Control Systems Based on State-matching Error Cost Function Approach
Geun Bum Koo, Jin Bae Park*, and Young Hoon Joo
International Journal of Control, Automation, and Systems, vol. 16, no. 1, pp.350-359, 2018
Abstract : "This paper presents a novel intelligent digital redesign (IDR) technique for a sampled-data fuzzy controller
of fuzzy systems which can be modeled in Takagi-Sugeno (T-S) fuzzy systems. The IDR technique, which
is one of sampled-data fuzzy controller design techniques, is to effectively convert a well-designed analog fuzzy
controller into a sampled-data fuzzy controller in the state-matching sense. In this paper, unlike previous IDR techniques,
the state-matching error is minimized by defining the state-matching error cost function. Also, to improve
the state-matching condition, the exact discretized model is used for the proposed IDR technique. The sufficient
condition of the proposed IDR technique is developed and derived in terms of linear matrix inequalities (LMIs).
Finally, some numerical examples are provided to verify the effectiveness of the proposed techniques."
"Intelligent digital redesign (IDR), linear matrix inequality (LMI), sampled-data fuzzy controller, statematching error, Takagi-Sugeno (T-S) fuzzy system."
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