Robust H∞ Control of Networked Control Systems with Parameter Uncertainty and State-delay

Networked control systems (NCSs) are becoming increasingly important in industrial process control; and robust H-inf control is a commonly used technique to deal with inevitable uncertainties in control systems. This paper aims to develop H-inf control strategies for networked control of continuous-time plants with parameter uncertainty and state delay. The maximum allowable synthetical bounds (MASBs), which are essential to ensure the stabilizablity of NCSs, are obtained using the Lyapunov functional method and linear matrix inequalities (LMIs) formulation. The bunds are related with data packet dropout, network-included time delay, and feedback gain of a memoryless H-inf controller. Through introducing some slack matrices, criteria are also derived for H-inf performance analysis and H-inf control synthesis. Numerical examples and simulation results are given to demonstrate the effectiveness of the developed technology.

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