Proceedings ArticleDOI
A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
Rogelio Leal,Graham C. Goodwin +1 more
- Vol. 23, pp 669-674
TLDR
In this article, an indirect adaptive control scheme for deterministic plants which are not necessarily minimum phase is presented, where the closed loop poles are asymptotically assigned and the system input and output remain bounded for all time.Abstract:
This paper presents an indirect adaptive control scheme for deterministic plants which are not necessarily minimum phase. Global convergence is established for the scheme in the sense that the closed loop poles are asymptotically assigned and the system input and output remain bounded for all time. A key feature of the scheme is that no persistency of excitation condition is required. The algorithm has been designed with time-varying problems in mind and uses recursive least squares with variable forgetting factor, normalized regression vectors, and a matrix gain with constant trace.read more
Citations
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Journal ArticleDOI
Adaptive feedback control
TL;DR: Early ideas which primarily attempt to compensate for gain variations and more general methods like gain scheduling, model reference adaptive control, and self-tuning regulators are reviewed.
Adaptive Feedback Control
TL;DR: Adaptive control is now finding its way into the marketplace after many years of effort as discussed by the authors, and it is shown that adaptive control laws can be obtained using stochastic control theory.
Journal ArticleDOI
A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
R. Lozano-Leal,Graham C. Goodwin +1 more
TL;DR: In this paper, an indirect adaptive control scheme for deterministic plants which are not necessarily minimum phase is presented, where the closed-loop poles are asymptotically assigned for the given data sequence and the system input and output remain bounded for all time.
Journal ArticleDOI
Adaptive generalized predictive control with multiple reference model
TL;DR: In this article, an adaptive control method which is inspired from three different control algorithms: pole placement, multiple reference model simultaneously on inputs and outputs and predictive control is presented, which is easily extented to multivariable case where decoupling is solved in the general case of non stably invertible systems.
Journal ArticleDOI
Paper: A perspective on convergence of adaptive control algorithms
TL;DR: This paper presents an overview of the current status of convergence theory for adaptive control algorithms and focuses on the conceptual common ground between different approaches.
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A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
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