Bang-bang Neurocontrol for Uncertain Plant in the Minimum-time Problem
The artificial neural network approach for near optimal minimum-time control problem is proposed. For switching surface controller the adaptation algorithm is developed. Algorithm convergence is experimentally shown under the common condition. The technique has applied nature; its validity is confirmed by numerical and physical experiments.
Keywords: optimal control; switching surface; neurocontrol; artificial neural network; adaptation; bang-bang control
