Using particle swarm optimization and genetic algorithms for optimal control of non-linear fractional-order chaotic system of cancer cells.
Shaban MohammadiS. Reza HejaziPublished in: Math. Comput. Simul. (2023)
Keyphrases
- fractional order
- feedback control
- optimal control
- chaotic systems
- cancer cells
- genetic algorithm
- adaptive control
- control law
- control strategy
- initial conditions
- lung cancer
- control method
- closed loop
- dynamic programming
- sliding mode control
- microscopy images
- differential equations
- neural network
- differential evolution
- reinforcement learning
- pid controller
- nonlinear systems
- evolutionary algorithm
- multi objective
- inverted pendulum
- dynamic environments
- simulated annealing
- fuzzy logic
- control scheme
- artificial neural networks
- dynamical systems
- lyapunov function
- fitness function
- control parameters
- control algorithm
- fuzzy control
- multiscale