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

Authors:
Xing-Song Wang;Chun-Yi Su;Henry Hong
Affiliations:
Department of Mechanical Engineering, Southeast University, Nanjing 210096, PR China;Department of Mechanical Engineering, Concordia University, Montreal, Que., Canada H3G 1M8;Department of Mechanical Engineering, Concordia University, Montreal, Que., Canada H3G 1M8
Venue:
Automatica (Journal of IFAC)
Year:
2004

Citing 1
Cited 24

Controlling nonlinear time-varying systems via Euler approximations

Automatica (Journal of IFAC)

Robust adaptive output-feedback control for a class of nonlinear systems with general uncertainties

International Journal of Systems Science
Letters: Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities

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

Automatica (Journal of IFAC)
Brief paper: Decentralized adaptive control for large-scale time-delay systems with dead-zone input

Automatica (Journal of IFAC)
Robust control of a class of neural networks with bounded uncertainties and time-varying delays

Computers & Mathematics with Applications
Brief paper: Decentralized adaptive stabilization of interconnected nonlinear systems with unknown non-symmetric dead-zone inputs

Automatica (Journal of IFAC)
Motion control with deadzone estimation and compensation using GRNN for TWUSM drive system

Expert Systems with Applications: An International Journal
Adaptive neural network tracking control of MIMO nonlinear systems with unknown dead zones and control directions

IEEE Transactions on Neural Networks
Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive fuzzy dead-zone control for unknown nonlinear systems

ACC'09 Proceedings of the 2009 conference on American Control Conference
Brief paper: Adaptive output control of uncertain nonlinear systems with non-symmetric dead-zone input

Automatica (Journal of IFAC)
Adaptive control for a class of SISO nonlinear time-varying delay systems with unknown gain signs

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Robust adaptive fuzzy control for nonlinear uncertain systems with unknown dead-zone and unknown upper bound of uncertainties

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Simultaneous state and dead-zone parameter estimation using high-gain observers

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Sliding Mode Control with Adaptive Fuzzy Dead-Zone Compensation of an Electro-hydraulic Servo-System

Journal of Intelligent and Robotic Systems
Adaptive fuzzy control of nonlinear systems in pure feedback form based on input-to-state stability

IEEE Transactions on Fuzzy Systems
Design of a fuzzy adaptive controller for MIMO nonlinear time-delay systems with unknown actuator nonlinearities and unknown control direction

Information Sciences: an International Journal
Design of observer-based adaptive controller for nonlinear systems with unmodeled dynamics and actuator dead-zone

International Journal of Automation and Computing
Neural network-based adaptive tracking control for nonlinearly parameterized systems with unknown input nonlinearities

Neurocomputing
Guaranteed Cost Stabilization of Time-varying Delay Cellular Neural Networks via Riccati Inequality Approach

Neural Processing Letters
Decentralized feedback control of uncertain cellular neural networks subject to time-varying delays and dead-zone input

Mathematical and Computer Modelling: An International Journal
Adaptive control for nonlinear systems with time-varying control gain

Journal of Control Science and Engineering - Special issue on Adaptive Control Theory and Applications
Adaptive fuzzy dynamic surface control for a class of perturbed nonlinear time-varying delay systems with unknown dead-zone

International Journal of Automation and Computing
Evolving intelligent system for the modelling of nonlinear systems with dead-zone input

Applied Soft Computing

Quantified Score

Hi-index	22.15

Visualization

Abstract

This paper deals with the adaptive control of a class of continuous-time nonlinear dynamic systems preceded by an unknown dead-zone. By using a new description of a dead-zone and by exploring the properties of this dead-zone model intuitively and mathematically, a robust adaptive control scheme is developed without constructing the dead-zone inverse. The new control scheme ensures global stability of the adaptive system and achieves desired tracking precision. Simulations performed on a typical nonlinear system illustrate and clarify the validity of this approach.