Adaptive neural network control of uncertain nonlinear plants with input saturation

Authors:
Jing Zhou
Affiliations:
Petroleum Department, International Research Institute of Stavanger, Bergen, Norway and Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

Citing 10
Cited 0

Tracking control of nonlinear systems with bounded controls and control rates

Automatica (Journal of IFAC)
An anti-windup design for linear systems with input saturation

Automatica (Journal of IFAC)
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Nonlinear and Adaptive Control Design

Nonlinear and Adaptive Control Design
Brief Adaptive control of input-constrained type-1 plants stabilization and tracking

Automatica (Journal of IFAC)
Brief Asymptotic stabilization of linear plants in presence of input and output saturations

Automatica (Journal of IFAC)
Brief Low-gain integral control of continuous-time linear systems subject to input and output nonlinearities

Automatica (Journal of IFAC)
Brief Improving the performance of low-gain designs for bounded control of linear systems

Automatica (Journal of IFAC)
Brief Systematic closed-loop design in the presence of input saturations

Automatica (Journal of IFAC)
Anti-windup synthesis via sampled-data piecewise affine optimal control

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, an adaptive controller is developed for uncertain nonlinear systems in the presence of input saturation. The control design is achieved by using backstepping technique with neural network approximation. Unlike some existing control schemes for systems with input saturation, the developed controller does not require uncertain parameters within a known compact set. Besides showing stability, transient performance is also established and can be adjusted by tuning certain design parameters. Simulation results obtained on a drilling system are presented to demonstrate the effectiveness of the proposed control scheme.