A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
This paper presents a comparative study of type-2 fuzzy logic systems with respect to
interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a …
interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a …
Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation
In this paper we are presenting a modification of a bio-inspired algorithm based on the bee
behavior (BCO, bee colony optimization) for optimizing fuzzy controllers. BCO is a …
behavior (BCO, bee colony optimization) for optimizing fuzzy controllers. BCO is a …
A new fuzzy bee colony optimization with dynamic adaptation of parameters using interval type-2 fuzzy logic for tuning fuzzy controllers
L Amador-Angulo, O Castillo - Soft Computing, 2018 - Springer
This paper presents a new fuzzy bee colony optimization method to find the optimal
distribution of the membership functions in the design of fuzzy controllers for complex …
distribution of the membership functions in the design of fuzzy controllers for complex …
Shadowed type-2 fuzzy sets in dynamic parameter adaption in cuckoo search and flower pollination algorithms for optimal design of fuzzy fault-tolerant controllers
In recent, various metaheuristic algorithms have shown significant results in control
engineering problems; moreover, fuzzy sets (FSs) and theories were frequently used for …
engineering problems; moreover, fuzzy sets (FSs) and theories were frequently used for …
Constrained interval type-2 fuzzy sets
In many contexts, type-2 fuzzy sets (T2 FS) are obtained from a type-1 fuzzy set to which we
wish to add uncertainty. However, in the current type-2 representation, there is no restriction …
wish to add uncertainty. However, in the current type-2 representation, there is no restriction …
On sampled-data fuzzy control design approach for T–S model-based fuzzy systems by using discretization approach
X Jiang - Information Sciences, 2015 - Elsevier
In this paper, a sampled-data fuzzy control design approach for Takagi–Sugeno (T–S)
model-based fuzzy systems is proposed. Firstly, the T–S model-based fuzzy systems are …
model-based fuzzy systems is proposed. Firstly, the T–S model-based fuzzy systems are …
An improved artificial bee colony algorithm for solving constrained optimization problems
Y Liang, Z Wan, D Fang - International Journal of Machine Learning and …, 2017 - Springer
The artificial bee colony (ABC) algorithm is a global stochastic optimization algorithm
inspired by simulating the foraging behavior of honey bees. It has been successfully applied …
inspired by simulating the foraging behavior of honey bees. It has been successfully applied …
General type-2 fuzzy logic systems using shadowed sets: a new paradigm towards fault-tolerant control
Fuzzy Inference Systems (FIS) are now widely employed to regulate a wide range of safety-
critical engineering systems. The main reason for this is that FIS may be created using …
critical engineering systems. The main reason for this is that FIS may be created using …
Green-IT approach to design and optimization of thermoacoustic waste heat utilization plant based on soft computing
Thermoacoustic devices (TAD) are the newest type of unconventional heat machines. Their
work is based on the mutual transformation of heat and acoustic energies. This heat …
work is based on the mutual transformation of heat and acoustic energies. This heat …
Synthesis and optimization of fuzzy controller for thermoacoustic plant
The paper is devoted to the synthesis of digital system for control of thermoacoustic plant.
Based on the analysis of thermoacoustic systems, the main tasks of the synthesized system …
Based on the analysis of thermoacoustic systems, the main tasks of the synthesized system …