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Open AccessJournal ArticleDOI

Robust adaptive regulation without persistent excitation

R. Lozano-Leal
- 01 Jan 1989 - 
- Vol. 34, Iss: 12, pp 1260-1267
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TLDR
In this paper, a globally convergent adaptive regulator for minimum or non-minimum phase systems subject to bounded disturbances is presented, which uses a least-squares identification algorithm with a dead zone.
Abstract
A globally convergent adaptive regulator for minimum or nonminimum phase systems subject to bounded disturbances is presented. The control strategy is designed for a particular input-output representation obtained from the state-space representation of the system. The leading coefficient of the novel representation is the product of the observability and controllability matrices of the system. The controller scheme uses a least-squares identification algorithm with a dead zone. The dead zone is chosen to obtain convergence properties on the estimates and on the covariance matrix as well. This allows the definition of modified estimates which secure well-conditioned matrices in the adaptive control law. Explicit bounds on the plant output are given. >

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Adaptive control based on retrospective cost optimization

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References
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Book

Theory of matrices

Book

Adaptive filtering prediction and control

TL;DR: This unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems and summarizes the theoretical and practical aspects of a large class of adaptive algorithms.
Journal ArticleDOI

Discrete-time multivariable adaptive control

TL;DR: In this paper, the authors established global convergence for a class of adaptive control algorithms applied to discrete time MIMO deterministic linear systems and showed that the algorithms will ensure that the system inputs and outputs remain bounded for all time and that the output tracking error converges to zero.
Journal ArticleDOI

Paper: Zeros of sampled systems

TL;DR: The zeros of the discrete time system obtained when sampling a continuous time system are explored and theorems for the limiting zeros for large and small sampling periods are given.
Journal ArticleDOI

Stable adaptive controller design, part II: Proof of stability

TL;DR: In this article, the output of the plant is shown to be bounded by expressing the plant feedback loop as an exponentially stable system with a time-varying gain in the feedback path.
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