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Journal ArticleDOI

Stability analysis of discrete-time adaptive control schemes

Bo Egardt
- 01 Aug 1980 - 
- Vol. 25, Iss: 4, pp 710-716
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TLDR
In this article, the stability properties of a fairly general diserete-time adaptive control scheme are analyzed and sufficient conditions for L ∞ stability in the presence of disturbances are given.
Abstract
The stability properties of a fairly general diserete-time adaptive control scheme are analyzed. Sufficient conditions for L^{\infty} stability in the presence of disturbances are given. The stability results are used to prove convergence of the process outputs in the disturbance-free case, without requiring any a priori stability assumption.

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Journal ArticleDOI

Theory and applications of adaptive control-A survey

Karl Johan Åström
- 01 Sep 1983 - 
TL;DR: It is shown that adaptive control laws can also be obtained from stochastic control theory, and different approaches are discussed with particular emphasis on model reference adaptive systems and self-tuning regulators.
Journal ArticleDOI

Design issues in adaptive control

TL;DR: In this article, an integrated approach to the design of practical adaptive control algorithms is presented, where many existing ideas are brought together, and the effect of various design parameters available to a user is explored.
Journal ArticleDOI

Decentralized adaptive control of interconnected systems

TL;DR: In this article, the adaptive control of a class of large-scale systems formed of an arbitrary interconnection of subsystems with unknown parameters, nonlinearities, and bounded disturbances is investigated.
Proceedings ArticleDOI

Bounded error adaptive control

TL;DR: In this paper, the problem of identifying and controlling when plant output is corrupted with disturbance and when plant parameters vary with time is considered, and the error model can be described by a non-homogeneous differential equation.
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.
References
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Journal ArticleDOI

On self tuning regulators

TL;DR: In this paper, the problem of controlling a system with constant but unknown parameters is considered and an algorithm obtained by combining a least squares estimator with a minimum variance regulator computed from the estimated model is analyzed.
Journal ArticleDOI

Analysis of recursive stochastic algorithms

TL;DR: It is shown how a deterministic differential equation can be associated with the algorithm and examples of applications of the results to problems in identification and adaptive control.
Journal ArticleDOI

Self-tuning controller

TL;DR: In this paper, a cost function which incorporates system input, output and set-point variations is selected, and a control law for a known system is derived, and the control input is chosen to make the prediction zero.
Journal ArticleDOI

Paper: Theory and applications of self-tuning regulators

TL;DR: The regulator algorithms, their theory and industrial applications are reviewed and the major ideas are covered but detailed analysis is given elsewhere.
Journal ArticleDOI

On positive real transfer functions and the convergence of some recursive schemes

TL;DR: The convergence with probability one of a recently suggested recursive identification method by Landau is investigated and the positive realness of a certain transfer function is shown to play a crucial role, both for the proof of convergence and for convergence itself.
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