Title
Prescribed performance tracking of uncertain nonlinear systems with input quantization
Abstract
In networked control systems, the presence of input quantization is a major source of destabilization and performance deterioration of the closed-loop system. In this paper, a continuous state-feedback controller is designed to guarantee not only the stability of the closed-loop system under input quantization but additionally the enforcement of prescribed performance attributes on the output tracking error in terms of maximum overshoot, minimum convergence rate and maximum steady-state error, irrespectively of the quantization density. The proposed controller is model-free and of low complexity (analytic-numerical), making its implementation straightforward. To avoid chattering, a hysteretic quantizer is incorporated. Simulation studies clarify all design aspects and illustrate its effectiveness.
Year
DOI
Venue
2017
10.1109/MED.2017.7984109
2017 25th Mediterranean Conference on Control and Automation (MED)
Keywords
Field
DocType
prescribed performance tracking,uncertain nonlinear systems,input quantization,networked control systems,closed-loop system stability,continuous state-feedback controller,output tracking error,maximum overshoot,minimum convergence rate,maximum steady-state error,quantization density,hysteretic quantizer
Convergence (routing),Control theory,Nonlinear system,Computer science,Control theory,Overshoot (signal),Control engineering,Rate of convergence,Control system,Quantization (signal processing),Tracking error
Conference
ISSN
ISBN
Citations 
2325-369X
978-1-5090-4534-1
0
PageRank 
References 
Authors
0.34
15
2
Name
Order
Citations
PageRank
Lampros N. Bikas130.72
George A. Rovithakis274945.73