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Proceedings ArticleDOI

Adaptive Control of Plants with Unknown Dead-zones

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TLDR
Model reference adaptive controllers are designed for plants with unknown dead-zones in which two sets of adjustable parameters, one belonging to a dead-zone inverse and the other to a linear controller, are kept fixed or adaptively updated.
Abstract
Model reference adaptive controllers are designed for plants with unknown dead-zones. Several control strategies are investigated in which two sets of adjustable parameters, one belonging to a dead-zone inverse and the other to a linear controller, are either kept fixed or adaptively updated. The developed adaptive control schemes ensure boundedness of all closed-loop signals and reduce the tracking error.

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Citations
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Journal ArticleDOI

Adaptive control of plants with unknown hystereses

TL;DR: Simulations show that the use of the adaptive hysteresis inverse leads to major improvements of system performance.
Journal ArticleDOI

Robust adaptive control of a class of nonlinear systems with unknown dead-zone

TL;DR: A robust adaptive control scheme is developed without constructing the dead-zone inverse, which ensures global stability of the adaptive system and achieves desired tracking precision.
Journal ArticleDOI

Deadzone compensation in motion control systems using neural networks

TL;DR: The technique provides a general procedure for using NNs to determine the preinverse of an unknown right-invertible function and yields tuning algorithms for the weights of the two NNs.
Journal ArticleDOI

Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone

TL;DR: The closed-loop stability of the adaptive control system is rigorously proved via Lyapunov analysis and the satisfactory tracking performance is achieved under the integrated effects of unknown dead zone, actuator fault, and unknown external disturbances.
Journal ArticleDOI

Brief paper: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input

TL;DR: It is shown that the controlled system preceded by a non-symmetric dead-zone input can be represented as an uncertain nonlinear system subject to a linear input with time-varying input coefficient.
References
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Book

Stable Adaptive Systems

TL;DR: Stability theory simple adaptive systems adaptive observers the control problem persistent excitation error models robust adaptive controlThe control problem - relaxation of assumptions multivariable adaptive systems applications of adaptive control.
Book

Adaptive Control: Stability, Convergence and Robustness

TL;DR: In this paper, the deterministic theory of adaptive control (AC) is presented in an introduction for graduate students and practicing engineers, with a focus on basic AC approaches, notation and fundamental theorems, identification problem, model-reference AC, parameter convergence using averaging techniques, and robustness.
Journal ArticleDOI

A robust direct adaptive controller

TL;DR: In this paper, the authors proposed a direct adaptive control algorithm which is robust with respect to additive and multiplicative plant unmodeled dynamics, which guarantees boundedness of all signals in the adaptive loop and small residual tracking errors for any bounded initial conditions.
Journal ArticleDOI

Global stability of parameter-adaptive control systems

TL;DR: In this article, the authors examine two relatively uncomplicated algorithms for adaptively controlling a single-input, single-output process admitting a continuous-time linear model wlth unknown parameters.
Journal ArticleDOI

Adaptive control of plants with unknown dead-zones

TL;DR: Model reference adaptive controllers are designed for plants with unknown dead-zones in which two sets of adjustable parameters, one belonging to a dead-zone inverse and the other to a linear controller, are kept fixed or adaptively updated.
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