Abstract
Grinding systems are often modelled by multivariable impulse response or weighting function matrices. These kind of models are very suitable for design of model predictive controllers. Two predictive control algorithms have been developed and tested with two simulated models of grinding systems. Their design is based on decoupling of the steady state interactions. The dynamic interactions cannot be eliminated but their strengths are reduced by dynamic compensation.
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