Control Using Inverse Model Algorithms

Part of the Advances in Industrial Control book series (AIC)


Inverse model based algorithms form the basis of Iterative Learning Control and provide many of the underlying techniques and relationships that appear in or motivate other algorithms. The chapter provides a systematic approach to the design problem and the robustness of schemes based on the use of left or right inverse systems. Frequency domain conditions for MIMO discrete state space systems are derived in detail.


Modelling Error Inverse Model State Space Model Iterative Learn Control Inverse System 
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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  1. 1.University of SheffieldSheffieldUK

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