Stabilization of Networked Control Systems with Variable Delays and Saturating Inputs

In this paper, improved conditions for the synthesis of static state-feedback controller are derived to stabilize networked control systems (NCSs) subject to actuator saturation. Both of the data packet latency and dropout which deteriorate the performance of the closed-loop system are considered in the NCS model via variable delays. Two different techniques are employed to incorporate actuator saturation in the system description. Utilizing Lyapunov-Krasovskii Theorem, delay-dependent conditions are obtained in terms of linear matrix inequalities (LMIs) to determine the static feedback gain. Moreover, an optimization problem is formulated in order to find the less conservative estimate for the region of attraction corresponding to different maximum allowable delays. Numerical examples are introduced to demonstrate the effectiveness and advantages of the proposed schemes

Stabilization of nonlinear delay systems: A tutorial on recent results

International audienceStabilization of nonlinear systems under delays is a central and challenging problem in control theory. It is also of considerable interest in engineering, because delay systems are prevalent in aerospace, biological, marine robotic, network control, and many other applications. Input delays naturally arise due to transport phenomena, time consuming information processing, and sensor designs, and they can produce complicated systems that are beyond the scope of standard frequency-domain or Lyapunov function methods. This has led to large control theoretic and engineering literatures on stabilization problems, spanning more than 40 years, based on backstepping, Lyapunov-Krasovskii functionals, prediction, and sampling controllers. In addition to input delays, there may also be state delays in the vector fields that define the system. This tutorial summarizes some recent work on stabilization under input or state delays and suggests future research directions