Abstract
AbstractAn effective approach is presented, which automatically generates a dynamic feedforward control law for nonlinear dynamic systems represented by a discrete‐time local model network (LMN) as one class of data‐driven models. In this context, feedback linearization is applied to the generic model structure of LMN and the resulting input transformation is used as model inverse. Thus, by representing a nonlinear dynamic system by an LMN and applying the proposed feedforward control law generation, a dynamic feedforward control for such a nonlinear system can be found automatically with the knowledge of measured input/output data only. In addition, several disturbance inputs are considered in the feedforward control law without restrictions on their relative degree. However, only multiple input LMN where no internal dynamics are involved, i.e. the LMN has full relative degree with respect to the control signal input, are considered in this manuscript. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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