Abstract
The aim of this work is to model and control a nonlinear biological process. The paper illustrates the use of fuzzy logic type Takagi-Sugeno (TS) to elaborate a fuzzy model and build fuzzy controllers. Two control approaches are considered. The first is the parallel distributed compensation (PDC) control with respect constraints on the manipulated inputs. The second is the optimal linear quadratic integral control (LQI). The efficiency of both the modeling and the control are demonstrated via simulations.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
