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- W2972783308 abstract "11This research was supported by the Natural Sciences and Engineering Research Council of Canada.Classical discrete-time adaptive controllers provide asymptotic stabilization and tracking; neither exponential stabilization nor a bounded noise gain is typically proven. In recent work it has been shown, in both the pole placement stability setting and the first-order one-step-ahead tracking setting, that if the original, ideal, Projection Algorithm is used (subject to the common assumption that the plant parameters lie in a convex, compact set and that the parameter estimates are restricted to that set) as part of the adaptive controller, then a linear-like convolution bound on the closed loop behaviour can be proven; this immediately confers exponential stability and a bounded noise gain, and it can be leveraged to provide tolerance to unmodelled dynamics and plant parameter variation. In this paper we extend the approach to the d- step-ahead adaptive controller setting and prove comparable properties." @default.
- W2972783308 created "2019-09-19" @default.
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- W2972783308 date "2019-07-01" @default.
- W2972783308 modified "2023-09-25" @default.
- W2972783308 title "Classical d-Step-Ahead Adaptive Control Revisited: Linear-Like Convolution Bounds and Exponential Stability" @default.
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- W2972783308 doi "https://doi.org/10.23919/acc.2019.8814371" @default.
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