NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Haigen HuLihong XuErik D. GoodmanSongwei ZengPublished in: Neural Comput. Appl. (2014)
Keyphrases
- pid controller
- nsga ii
- multi objective
- pid parameters
- highly nonlinear
- particle swarm optimization
- tuning parameters
- fuzzy pid controller
- proportional integral derivative
- fractional order
- multi objective optimization
- evolutionary algorithm
- fuzzy pid
- control method
- test problems
- control system
- closed loop
- optimization algorithm
- differential evolution
- control scheme
- optimization problems
- conventional pid
- fuzzy control
- pid control
- pso algorithm
- optimal solution
- mutation operator
- genetic algorithm
- fuzzy logic controller
- knapsack problem
- rbf neural network
- quantum genetic algorithm
- fitness function
- control algorithm
- rule selection
- mr damper
- crossover operator
- objective function
- branch and bound algorithm
- global optimization
- convergence speed
- evolutionary computation
- fuzzy sets
- artificial neural networks
- search algorithm