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Design of an analytic constrained predictive controller using neural networks
2001 / IEEE
This item from - IEEE Conference - 2001 European Control Conference (ECC) - The solution to the standard predictive control problem is a continuous function of the state, the reference signal, the noise and the disturbances and hence can be approximated arbitrarily close by a feed-forward neural network. This leads to an analytic constrained predictive controller that combines constraint handling with speed and is applicable to fast systems and complex control problems with many constraints.
Signal Processing And Analysis
Control And Optimization
Control Of Systems With Input Non-linearities
Robotics And Control Systems
Power, Energy And Industry Applications