A survey on industrial applications of fuzzy control
RE Precup, H Hellendoorn - Computers in industry, 2011 - Elsevier
Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …
and successful results. Originally introduced as model-free control design approach, model …
State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies
J Cao, H Liu, P Li, DJ Brown - IEEE transactions on intelligent …, 2008 - ieeexplore.ieee.org
This paper reviews computational-intelligence-involved approaches in active vehicle
suspension control systems with a focus on the problems raised in practical implementations …
suspension control systems with a focus on the problems raised in practical implementations …
A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection
The hybrid of AHP and TOPSIS has led researchers to integrate the combination with
different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy …
different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy …
Toward general type-2 fuzzy logic systems based on zSlices
Higher order fuzzy logic systems (FLSs), such as interval type-2 FLSs, have been shown to
be very well suited to deal with the high levels of uncertainties present in the majority of real …
be very well suited to deal with the high levels of uncertainties present in the majority of real …
Uncertainty measures for interval type-2 fuzzy sets
Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For
interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewness …
interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewness …
Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms
We describe a tracking controller for the dynamic model of a unicycle mobile robot by
integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and …
integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and …
Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot
In this paper we describe the application of Ant Colony Optimization (ACO) and Particle
Swarm Optimization (PSO) on the optimization of the membership functions' parameters of a …
Swarm Optimization (PSO) on the optimization of the membership functions' parameters of a …
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
In real life, information about the world is uncertain and imprecise. The cause of this
uncertainty is due to: deficiencies on given information, the fuzzy nature of our perception of …
uncertainty is due to: deficiencies on given information, the fuzzy nature of our perception of …
Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO
In this paper the optimization of type-2 fuzzy inference systems using genetic algorithms
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …
(GAs) and particle swarm optimization (PSO) is presented. The optimized type-2 fuzzy …
State and output feedback control of interval type-2 fuzzy systems with mismatched membership functions
This paper is concerned with the problems of state and output feedback control for interval
type-2 (IT2) fuzzy systems with mismatched membership functions. The IT2 fuzzy model and …
type-2 (IT2) fuzzy systems with mismatched membership functions. The IT2 fuzzy model and …