Particle Swarm Optimization for Nonlinear Model Predictive Control

  title={Particle Swarm Optimization for Nonlinear Model Predictive Control},
  author={Julian Mercieca and Simon G. Fabri},
The paper proposes two Nonlinear Model Predictive Control schemes that uncover a synergistic relationship between on-line receding horizon style computation and Particle Swarm Optimization, thus benefiting from both the performance advantages of on-line computation and the desirable properties of Particle Swarm Optimization. After developing these techniques for the unconstrained nonlinear optimal control problem, the entire design methodology is illustrated by a simulated inverted pendulum on… CONTINUE READING
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