Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A learning process for fuzzy control rules using genetic algorithms
Fuzzy Sets and Systems
Training fuzzy systems with the extended Kalman filter
Fuzzy Sets and Systems - Fuzzy systems
An optimized Takagi-Sugeno type neuro-fuzzy system for modeling robot manipulators
Neural Computing and Applications
Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
Design of optimal disturbance rejection PID controllers usinggenetic algorithms
IEEE Transactions on Evolutionary Computation
Locating and tracking multiple dynamic optima by a particle swarm model using speciation
IEEE Transactions on Evolutionary Computation
Tuning of a neuro-fuzzy controller by genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms
IEEE Transactions on Fuzzy Systems
Learning and tuning fuzzy logic controllers through reinforcements
IEEE Transactions on Neural Networks
Dynamic identification of Staubli RX-60 robot using PSO and LS methods
Expert Systems with Applications: An International Journal
A trajectory tracking FLC tuned with PSO for triga mark-II nuclear research reactor
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
A review on the design and optimization of interval type-2 fuzzy controllers
Applied Soft Computing
Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
Information Sciences: an International Journal
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
Expert Systems with Applications: An International Journal
Discretization and fitting of nominal data for autonomous robots
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Robotics and Autonomous Systems
Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
In this paper, a 2 DOF planar robot was controlled by Fuzzy Logic Controller tuned with a particle swarm optimization. For a given trajectory, the parameters of Mamdani-type-Fuzzy Logic Controller (the centers and the widths of the Gaussian membership functions in inputs and output) were optimized by the particle swarm optimization with three different cost functions. In order to compare the optimized Fuzzy Logic Controller with different controller, the PID controller was also tuned with particle swarm optimization. In order to test the robustness of the tuned controllers, the model parameters and the given trajectory were changed and the white noise was added to the system. The simulation results show that Fuzzy Logic Controller tuned by particle swarm optimization is better and more robust than the PID tuned by particle swarm optimization for robot trajectory control.