New results on adaptive neural control of a class of nonlinear systems with uncertain input delay

Authors:
Qing Zhu;Tianping Zhang;Yuequan Yang
Affiliations:
Department of Automation, College of Information Engineering, Yangzhou University, Yangzhou 225009, China;Department of Automation, College of Information Engineering, Yangzhou University, Yangzhou 225009, China;Department of Automation, College of Information Engineering, Yangzhou University, Yangzhou 225009, China
Venue:
Neurocomputing
Year:
2012

Citing 25
Cited 0

Nonlinear and Adaptive Control Design

Nonlinear and Adaptive Control Design
Adaptive H∞ tracking control for a class of uncertain nonlinear systems using radial-basis-function neural networks

Neurocomputing
Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs

Automatica (Journal of IFAC)
Brief paper: H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities

Automatica (Journal of IFAC)
Observer-based fuzzy adaptive control for strict-feedback nonlinear systems

Fuzzy Sets and Systems
Fuzzy adaptive observer backstepping control for MIMO nonlinear systems

Fuzzy Sets and Systems
Adaptive intelligent backstepping longitudinal control of vehicleplatoons using output recurrent cerebellar model articulation controller

Expert Systems with Applications: An International Journal
Direct adaptive fuzzy control for nonlinear systems with time-varying delays

Information Sciences: an International Journal
Globally stable adaptive backstepping fuzzy control for output-feedback systems with unknown high-frequency gain sign

Fuzzy Sets and Systems
A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control

IEEE Transactions on Fuzzy Systems
Direct adaptive fuzzy backstepping robust control for single input and single output uncertain nonlinear systems using small-gain approach

Information Sciences: an International Journal
Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks

IEEE Transactions on Neural Networks
A novel robust adaptive-fuzzy-tracking control for a class of nonlinear multi-input/multi-output systems

IEEE Transactions on Fuzzy Systems
A DSC approach to robust adaptive NN tracking control for strict-feedback nonlinear systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Adaptive NN backstepping output-feedback control for stochastic nonlinear strict-feedback systems with time-varying delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities

IEEE Transactions on Neural Networks
Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances

IEEE Transactions on Fuzzy Systems
Letters: Adaptive tracking control for input delayed MIMO nonlinear systems

Neurocomputing
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints

Automatica (Journal of IFAC)
Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation

Neurocomputing
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Practical adaptive neural control of nonlinear systems with unknown time delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Brief Paper: Design and performance analysis of a direct adaptive controller for nonlinear systems

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.01

Visualization

Abstract

The state feedback control scheme combined with backstepping, neural network and adaptive control is proposed for the tracking control problem of a class of nonlinear systems with uncertain input delay and disturbances. A filter and a virtual observer are constructed to produce the auxiliary signal. Neural networks are employed to estimate the unknown continuous functions. The tracking error is proved to ultimately converge to an adequately small compact set. The theoretical result is illustrated through a simulation example.