Intelligent Multi-Objective Nonlinear Model Predictive Control (iMO-NMPC): Towards the 'on-line' optimization of highly complex control problems.
Juan José Valera GarcíaVicente Gómez-GarayEloy Irigoyen GordoFernando Artaza FanoMikel Larrea-SukiaPublished in: Expert Syst. Appl. (2012)
Keyphrases
- highly complex
- nonlinear model predictive control
- control problems
- multi objective
- image based visual servoing
- optimization algorithm
- dynamic model
- mpc algorithm
- computationally efficient
- optimal control
- reinforcement learning
- evolutionary algorithm
- visual servoing
- model predictive control
- adaptive control
- genetic algorithm
- intelligent systems
- steady state
- particle swarm optimization
- objective function
- dynamical systems
- experimental data
- vision system
- dynamic programming
- data mining