Abstract
Indirect adaptive control is a widely applicable adaptive control strategy. In real-time, it combines plant model parameter estimation in closed loop with the redesign of the controller. Adaptive pole placement and its robustified version, together with adaptive generalized predictive control constitute the core of the chapter. Adaptive linear quadratic control is also presented. Application of various strategies for the indirect adaptive control of a flexible transmission illustrates the methodology presented in this chapter.
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Notes
- 1.
What is in fact needed is the knowledge of n B +d. However, the knowledge of d reduces the number of estimated parameters.
- 2.
In fact \(\hat{S}(t,q^{-1})=\hat{S}^{\prime}(t,q^{-1})H_{S}(q^{-1})\), \(\hat{R}(t,q^{-1})=\hat{R}^{\prime }(t,q^{-1})H_{R}(q^{-1})\) where H S (q −1) and H R (q −1) are the fixed parts of the controller.
- 3.
The index q −1 has been dropped to simplify the notation.
- 4.
- 5.
These experiments have been carried out by J. Chebassier (Lab. d’Automatique de Grenoble).
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Landau, I.D., Lozano, R., M’Saad, M., Karimi, A. (2011). Indirect Adaptive Control. In: Adaptive Control. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-664-1_12
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DOI: https://doi.org/10.1007/978-0-85729-664-1_12
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