Fuzzy controllers gains tuning: a constrained nonlinear optimization approach



This paper presents a methodology for tuning the gains of fuzzy proportional-integral controllers where the concept of closed-loop control system performance is explicitly taken into account. The fuzzy controller gains are found by solving a nonlinear constrained optimization problem considering the system’s dynamics described by a nonlinear model and a set of constraints on the controller gains, control actions and outputs. Experimental results collected on a test-bed show the pertinence of using the proposed tuning technique.


Fuzzy Control; Scaling factors; Gains tuning; Constrained Nonlinear Optimization


Neural Computing and Applications, Springer-Verlag, May 2013


Cited by

Year 2016 : 2 citations

 Erdem, Hamit, and Okkes Tolga Altinoz. "Tuning of output scaling factor in PI-like fuzzy controllers for power converters using PSO." Journal of Intelligent & Fuzzy Systems 30.5 (2016): 2677-2688.

 Lucena, Catarina Inês Marques de. "Framework for collaborative knowledge management in organizations." (2016).

Year 2014 : 1 citations

 Precup, Radu-Emil, and Marius L. Tomescu. "Stable fuzzy logic control of a general class of chaotic systems." Neural Computing and Applications: 1-10, 2014.