Matrix analysis
Robust mixed control and linear parameter-varying control with full block scalings
Advances in linear matrix inequality methods in control
Stabilization of LPV Systems: State Feedback, State Estimation, and Duality
SIAM Journal on Control and Optimization
A new delay system approach to network-based control
Automatica (Journal of IFAC)
Technical communique: Stability and stabilization of nonuniform sampling systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Controller synthesis on non-uniform and uncertain discrete–time domains
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Simple stability criteria for systems with time-varying delays
Automatica (Journal of IFAC)
Computer control under time-varying sampling period: An LMI gridding approach
Automatica (Journal of IFAC)
Computation of robust stability bounds for networked systems with varying delays
International Journal of Systems, Control and Communications
A symbolic approach to the design of nonlinear networked control systems
Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control
Brief paper: Stability analysis of stochastic networked control systems
Automatica (Journal of IFAC)
A state dependent sampling for linear state feedback
Automatica (Journal of IFAC)
Stability analysis of networked control systems: A sum of squares approach
Automatica (Journal of IFAC)
On the effects of time delay variations in the design of networked control system
International Journal of Systems, Control and Communications
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The presence of a communication network in a control loop induces many imperfections such as varying transmission delays, varying sampling/transmission intervals and packet loss, which can degrade the control performance significantly and can even lead to instability. Various techniques have been proposed in the literature for stability analysis and controller design for these so-called networked control systems (NCSs). The goal of this paper is to survey a particular class of techniques using discrete-time models that are based on polytopic overapproximations of the uncertain NCS model and lead to stability conditions in terms of linear matrix inequalities (LMIs). We discuss the advantages and disadvantages of the existing techniques in both qualitative and quantitative manners. In particular, we apply all methods to a benchmark example providing a numerical comparison of the methods with respect to conservatism as well as numerical complexity.