A scheme for doing so can be derived from the procedures of fuzzy logic, which allow rules to be formulated that are applicable to ethical principles.
In the framework of FSMC, genetic algorithm (GA) is utilized to search for the optimal scalings for the inputs; in addition, the technique of regionwise linear fuzzy logic control (RLFLC) is employed to simplify the computation procedure of the fuzzy reasoning.
The detailed design procedure of the fuzzy sliding mode control system is presented.
The tuning procedure of a fuzzy controller represents a quite difficult and meticulous task, being based on prior data regarding good knowledge of the controlled plant.
We introduce a design procedure for fuzzy systems using the concept of information granulation and genetic optimization.
Firstly, a design procedure for fuzzy descriptor observer is proposed to estimate the states of the fuzzy system and unknown sensor faults.
In this paper, a design procedure of the compact fuzzy filter by using Takagi Sugeno (T S) fuzzy models is presented.
The design procedures of the fuzzy Takagi Sugeno model of TRMS are detailed.
In the design procedure, the major design parameters of the controller are simplified by observing several aspects that appear in design procedures of the fuzzy membership function and the rule base.
This paper describes the architecture and training procedure of a recurrent fuzzy system (RFS).
The design procedure of the TSK fuzzy approach for TRS is detailed.
