Subspace Predictive Control Applied to Fault-Tolerant Control

摘要: Subspace identification is a technique that can be used for of state-space models from input-output data. This has drawn considerable interest in the last two decades [1, 2], especially linear time-invariant systems. A reason this efficient way which are identified systems high order and with multiple inputs outputs. to form subspace predictor prediction future outputs past data input-sequence. computed without realization actual models, significantly reduces computational requirements. In [3] been combined model predictive control [4], resulting algorithm given name (SPC). SPC, output predicted by part cost function controller. As result being generated completely data, SPC data-driven one.