A bias-correction method for closed-loop identification of Linear Parameter-Varying systems

Author:

Mejari Manas,Piga Dario,Bemporad Alberto

Funder

European Commission

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference24 articles.

1. Abbas, H., Ali, M., & Werner, H. (2010). Linear recurrent neural network for open- and closed-loop consistent identification of LPV models, In Proc. of the 49th IEEE conference on decision and control, Atlanta, USA.

2. Abbas, H., & Werner, H. (2009). An instrumental variable technique for open-loop and closed-loop identification of input-output LPV models, In Proc. of the European control conference, (pp. 2646–2651), Budapest.

3. Ali, A., Ali, M., & Werner, H. (2011). Indirect closed-loop identification of input-output LPV models: a pre-flitering approach. In Proc. of the 18th IFAC World congress, (pp. 2606–2611), Milano, Italy.

4. Self-scheduledH∞ control of linear parameter-varying systems: a design example;Apkarian;Automatica,1995

5. Boonto, S., & Werner, H. (2008). Closed-loop system identification of LPV input-output models - application to an arm-driven inverted pendulum, In Proc. of the 47th IEEE conference on decision and control, (pp. 2606–2611), Cancun.

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