Title :
A new approach to controller design of stochastic fuzzy systems
Author_Institution :
Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
Abstract :
This paper investigates the stochastic fuzzy logic and controller design of stochastic fuzzy systems based on the semi-tensor product of matrices. First, some concepts and properties on stochastic fuzzy logic are given. Then, the design of stochastic fuzzy controller is studied based on the semi-tensor product, and the algebraic form of stochastic fuzzy reasoning is obtained by constructing the structure matrix and the transition probability matrix. Finally, a numerical example is provided to demonstrate the new results in this paper.
Keywords :
control system synthesis; fuzzy logic; fuzzy reasoning; fuzzy systems; matrix algebra; probability; stochastic systems; tensors; controller design; matrix semitensor product; stochastic fuzzy logic; stochastic fuzzy reasoning algebraic form; stochastic fuzzy systems; structure matrix; transition probability matrix; Automation; Conferences; Fuzzy logic; Fuzzy sets; Fuzzy systems; Pragmatics; Vectors;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720267