2020
DOI: 10.1016/j.automatica.2020.109261
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Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous-time identifiers

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Cited by 16 publications
(18 citation statements)
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“…The importance of keeping s nominal is motivated by the fact that, in a linear setting, knowing s is the main necessary [1] and sufficient [2] condition for the design of a robust regulator (in particular, necessity is known as the internal model principle [1]). When perturbations affect the map s of the exosystem, instead, the problem is typically referred to as adaptive regulation [6]- [10]. For the special role played by s in the design of robust linear regulators, this distinction between robust and adaptive regulation makes considerable sense in the context of linear output regulation.…”
Section: A Problem Overviewmentioning
confidence: 99%
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“…The importance of keeping s nominal is motivated by the fact that, in a linear setting, knowing s is the main necessary [1] and sufficient [2] condition for the design of a robust regulator (in particular, necessity is known as the internal model principle [1]). When perturbations affect the map s of the exosystem, instead, the problem is typically referred to as adaptive regulation [6]- [10]. For the special role played by s in the design of robust linear regulators, this distinction between robust and adaptive regulation makes considerable sense in the context of linear output regulation.…”
Section: A Problem Overviewmentioning
confidence: 99%
“…This inherent difficulty has recently motivated a shift towards new approaches seeking approximate, rather than asymptotic, results, as they trade weaker claims for stronger robustness properties (see, e.g. [8]- [10], [12]- [15]). Nevertheless, such robustness properties are usually treated in ad hoc manners, poorly characterized, and sometimes not formally proved and just left to intuition.…”
Section: A Problem Overviewmentioning
confidence: 99%
See 3 more Smart Citations