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Robust sampled-data PI controller design for networked control systems
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DOI：10.1016/j.jfranklin.2016.01.002.png)
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Abstract
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This paper focuses on investigating the robust stabilization problem for a class of continuous-time networked control systems (NCS) with sampled-data strategy through uncertain time-varying sampling rate via the proportional-integral (PI) control design. The main objective of this paper is to design a state feedback sample-data PI controller with time varying input delay such that the resulting closed-loop system is robustly asymptotically stable for all admissible uncertainties. Based on the Lyapunov stability theory, a new set of delay-dependent conditions is obtained in terms of linear matrix inequalities to determine the system stability and achieve the sampled-data PI control design. Finally, simulation results based on electronic-circuit system and mass spring damped system are provided to demonstrate the effectiveness and the merit of the proposed design technique. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keywords:
H-INFINITY CONTROL
FEEDBACK-CONTROL
PREDICTIVE CONTROL
STABILITY ANALYSIS
NONLINEAR-SYSTEMS
TIME-SYSTEMS
STABILIZATION
DELAYS
SYNCHRONIZATION
OPTIMIZATION
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