A Review on Optimization of Fuzzy Controller Parameters in Robotic Applications

The fuzzy logic controller is widely used in different areas due to the unique simplicity and different abilities that it has such as good response to complex and high-order systems. In addition, i...

[1]  Oscar Castillo,et al.  Modification of the Bat Algorithm Using Type-2 Fuzzy Logic for Dynamical Parameter Adaptation , 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

[2]  Oscar Castillo,et al.  Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control , 2015, Inf. Sci..

[3]  Oscar Castillo,et al.  Multi-Metaheuristic Competitive Model for Optimization of Fuzzy Controllers , 2019, Algorithms.

[4]  Oscar Castillo,et al.  A New Optimization Method Based on a Paradigm Inspired by Nature , 2010, Soft Computing for Recognition Based on Biometrics.

[5]  Oscar Castillo,et al.  Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot , 2016, Sensors.

[6]  Gharpure Damayanti Chandrashekhar,et al.  Self-Organizing Map based Extended Fuzzy C-Means (SEEFC) algorithm for image segmentation , 2017, Appl. Soft Comput..

[7]  Oscar Castillo,et al.  A New Method for Parameterization of General Type-2 Fuzzy Sets , 2018 .

[8]  Oscar Castillo,et al.  Fuzzy Dynamic Adaptation of Parameters in the Water Cycle Algorithm , 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

[9]  Oscar Castillo,et al.  Optimization of granulation for fuzzy controllers of autonomous mobile robots using the Firefly Algorithm , 2018, Granular Computing.

[10]  Victor O. K. Li,et al.  Chemical Reaction Optimization: a tutorial , 2012, Memetic Computing.

[11]  Oscar Castillo,et al.  A generalized type-2 fuzzy granular approach with applications to aerospace , 2016, Inf. Sci..

[12]  Juan R. Castro,et al.  A Generalized Type-2 Fuzzy Logic System for the dynamic adaptation the parameters in a Bee Colony Optimization algorithm applied in an autonomous mobile robot control , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[13]  Patricia Melin,et al.  Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems , 2017, Appl. Soft Comput..

[14]  Oscar Castillo,et al.  A hybrid optimization method with PSO and GA to automatically design Type-1 and Type-2 fuzzy logic controllers , 2015, Int. J. Mach. Learn. Cybern..

[15]  Witold Pedrycz,et al.  Building granular fuzzy decision support systems , 2014, Knowl. Based Syst..

[16]  Oscar Castillo,et al.  A generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design , 2017, Inf. Sci..

[17]  Leticia Amador-Angulo,et al.  Comparative Analysis of Designing Differents Types of Membership Functions Using Bee Colony Optimization in the Stabilization of Fuzzy Controllers , 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

[18]  Mehdi Forouzanfar,et al.  A survey: fuzzify parameters and membership function in electrical applications , 2020, International Journal of Dynamics and Control.

[19]  M. Begnini,et al.  A robust adaptive fuzzy variable structure tracking control for the wheeled mobile robot: Simulation and experimental results , 2017 .

[20]  Oscar Castillo,et al.  A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot , 2015, Appl. Soft Comput..

[21]  Oscar Castillo,et al.  Fuzzy Galactic Swarm Optimization with Dynamic Adjustment of Parameters Based on Fuzzy Logic , 2020, SN Comput. Sci..

[22]  Saurabh Nair,et al.  Development of Autonomous Humanoid Robot Control for Competitive Environment Using Fuzzy Logic and Heuristic Search , 2016 .

[23]  S. Ali A. Moosavian,et al.  Fuzzy MTEJ controller with integrator for control of underactuated manipulators , 2017 .

[24]  Oscar Castillo,et al.  Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO , 2016, Appl. Soft Comput..

[25]  Oscar Castillo,et al.  Finite-interval-valued Type-2 Gaussian fuzzy numbers applied to fuzzy TODIM in a healthcare problem , 2020, Eng. Appl. Artif. Intell..

[26]  Amit Konar,et al.  Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm , 2015, Robotics Auton. Syst..

[27]  Patricia Melin,et al.  Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis , 2020, Inf. Sci..

[28]  Oscar Castillo,et al.  A Study of Parameters of the Grey Wolf Optimizer Algorithm for Dynamic Adaptation with Fuzzy Logic , 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

[29]  Oscar Castillo,et al.  Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution Algorithms , 2019, Algorithms.

[30]  Oscar Castillo,et al.  Ant Colony Optimization with Parameter Adaptation Using Fuzzy Logic for TSP Problems , 2015, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

[31]  Oscar Castillo,et al.  Optimization of Fuzzy Controller Using Galactic Swarm Optimization with Type-2 Fuzzy Dynamic Parameter Adjustment , 2019, Axioms.

[32]  Oscar Castillo,et al.  Optimization of fuzzy controller design using a Differential Evolution algorithm with dynamic parameter adaptation based on Type-1 and Interval Type-2 fuzzy systems , 2019, Soft Computing.

[33]  A. M. Abdel Ghany,et al.  Neuro-fuzzy inverse model control structure of robotic manipulators utilized for physiotherapy applications , 2013 .

[34]  Zeshui Xu,et al.  A fuzzy linear programming method for group decision making with additive reciprocal fuzzy preference relations , 2014, Fuzzy Sets Syst..

[35]  Oscar Castillo.  Bio-inspired Optimization of Type-2 Fuzzy Controllers in Autonomous Mobile Robot Navigation , 2019 .

[36]  Oscar Castillo,et al.  A fuzzy hierarchical operator in the grey wolf optimizer algorithm , 2017, Appl. Soft Comput..

[37]  Mathew Mithra Noel,et al.  Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion , 2016, Appl. Soft Comput..

[38]  Oscar Castillo,et al.  Interval type-2 fuzzy logic for dynamic parameter adaptation in the bat algorithm , 2017, Soft Comput..

[39]  Oscar Castillo,et al.  A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics , 2019, Eng. Appl. Artif. Intell..

[40]  Leticia Amador-Angulo,et al.  A new fuzzy bee colony optimization with dynamic adaptation of parameters using interval type-2 fuzzy logic for tuning fuzzy controllers , 2016, Soft Computing.

[41]  Eric Fleury,et al.  MultiAspect Graphs: Algebraic representation and algorithms , 2015, Algorithms.

[42]  Rui Cao,et al.  Co-simulation research of a novel exoskeleton-human robot system on humanoid gaits with fuzzy-PID/PID algorithms , 2015, Adv. Eng. Softw..

[43]  Oscar Castillo,et al.  Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition , 2020, J. Intell. Fuzzy Syst..

[44]  Vineet Kumar,et al.  Performance analysis of fractional order fuzzy PID controllers applied to a robotic manipulator , 2014, Expert Syst. Appl..

[45]  Oscar Castillo,et al.  Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization , 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

[46]  Oscar Castillo,et al.  Optimization of fuzzy controller design using a new bee colony algorithm with fuzzy dynamic parameter adaptation , 2016, Appl. Soft Comput..