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Abstract
By data drift, we mean the data received by the controller may be different from that sent by the sensor, or the data received by actuator may be different from that sent by the controller. The issues of guaranteed cost control for a class of continuous-time networked control systems with data drift are investigated. Firstly, with the consideration of data drift between sensor and controller, a closed-loop model of networked control systems including network factors such as time-delay and data-dropouts is established. And then, selecting an appropriate Lyapunov function, a guaranteed cost controller in terms of linear matrix inequality (LMI) is designed to asymptotically stabilize the networked control system with data drift. Finally, simulations are included to demonstrate the theoretical results.
Highlights
Networked control systems (NCSs) are often encountered in practice for widespread fields of applications because of their suitable and flexible structure [1,2,3]
Packet dropouts and network-induced delays were lumped into one item in Xiong and Lam [12] to study stabilization of discrete-time NCSs
This paper aims at investigating the problem of guaranteed cost control for a class of continuous-time networked control systems with data drift
Summary
Networked control systems (NCSs) are often encountered in practice for widespread fields of applications because of their suitable and flexible structure [1,2,3]. An observer-based guaranteed cost control problem in networked control systems with random data packet dropouts is proposed in [17], in which sensorto-controller and controller-to-actuator packet dropouts are both modeled by two mutually independent stochastic variables satisfying the Bernoulli binary distribution. Xie et al [19] are concerned with the state-feedback guaranteed cost controller design for a class of networked control systems (NCSs) with state-delay. This paper aims at investigating the problem of guaranteed cost control for a class of continuous-time networked control systems with data drift. By using an appropriate Lyapunov functional, a guaranteed cost controller in terms of linear matrix inequality (LMI) is designed to cope with the effect of data drift and enhance the NCSs’ performance.
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