Paper Info
Title
Robust Adaptive Fault-Tolerant Control of Nonlinear Systems With Assignable Tracking Performance Under Time-Varying Control Coefficients.
Abstract
This paper presents a robust adaptive fault-tolerant control method for a class of strict-feedback nonlinear systems with nonparametric uncertainties and unknown time-varying control coefficients as well as actuation faults. By employing a time-varying scaling function and an integrable function into control design, an adaptive Nussbaum gain-based fault-tolerant control approach is established, which displays the following salient features compared with the existing results: 1) the incorporation of time-varying scaling function renders that the tracking error converges to an adjustable compact set within an arbitrarily prescribed time at a decay rate no less than a pre-specified value, and 2) the utilization of the integrable function can handle the nonparametric uncertainties and actuation faults, which ensures that the nonlinear system is stable over [0, infinity) and the tracking error converges to zero as t -> infinity. Furthermore, it is proved that the developed control law can guarantee that all signals of the closed-loop systems are globally uniformly ultimately bounded. Simulation results validate the benefits and effectiveness of the proposed scheme.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2857504
IEEE ACCESS
Keywords
Field
DocType
Robust adaptive control,fault-tolerant control,assignable performance specifications,unknown control coefficients
Nonlinear system,Computer science,Control theory,Adaptive system,Locally integrable function,Nonparametric statistics,Robustness (computer science),Fault tolerance,Bounded function,Tracking error,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Kai Zhao110413.74
Jiawei Chen2165.01