On the iterative learning control for stochastic impulsive differential equations with randomly varying trial lengths.
Shengda LiuAmar DebboucheJinRong WangPublished in: J. Comput. Appl. Math. (2017)
Keyphrases
- differential equations
- iterative learning control
- brownian motion
- control theory
- dynamical systems
- feed forward artificial neural networks
- optimal control problems
- iterative learning
- ordinary differential equations
- numerical solution
- numerical methods
- boundary value problem
- intelligent control
- initial conditions
- cellular neural networks
- real time
- partial differential equations
- fixed point
- image processing