Preference driven multi-objective optimization design procedure for industrial controller tuning.
Gilberto Reynoso-MezaJavier SanchisXavier Blasco FerragudMiguel A. MartínezPublished in: Inf. Sci. (2016)
Keyphrases
- multi objective optimization
- design procedure
- fuzzy controller
- evolutionary algorithm
- control algorithm
- multi objective
- fuzzy logic controller
- design methodology
- adaptive fuzzy
- genetic algorithm
- fuzzy control
- pareto optimal
- differential evolution
- control strategy
- control system
- multi objective optimization problems
- nonlinear systems
- control method
- evolutionary computation
- neuro fuzzy
- parameter tuning
- multi objective genetic algorithms
- multi criteria
- multi objective evolutionary algorithms
- probabilistic neural network
- neural network
- control scheme
- control law
- rule base
- closed loop
- input output
- inverted pendulum
- particle swarm optimization
- real time
- nsga ii
- optimal control
- parameter settings
- dynamic model
- optimization algorithm
- optimization problems
- decision making