Automatica (Journal of IFAC)
Optimization Based Stabilization of Nonlinear Control Systems
Large-Scale Scientific Computing
Synthesis of Trajectory-Dependent Control Lyapunov Functions by a Single Linear Program
HSCC '09 Proceedings of the 12th International Conference on Hybrid Systems: Computation and Control
Flexible control Lyapunov functions
ACC'09 Proceedings of the 2009 conference on American Control Conference
Automatica (Journal of IFAC)
Multirate versions of sampled-data stabilization of nonlinear systems
Automatica (Journal of IFAC)
Stabilization of nonlinear delay systems using approximate predictors and high-gain observers
Automatica (Journal of IFAC)
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We present results on numerical regulator design for sampled-data nonlinear plants via their approximate discrete-time plant models. The regulator design is based on an approximate discrete-time plant model and is carried out either via an infinite horizon optimization problem or via a finite horizon with terminal cost optimization problem. In both cases, we discuss situations when the sampling period T and the integration period h used in obtaining the approximate discrete-time plant model are the same or they are independent of each other. We show that, using this approach, practical and/or semiglobal stability of the exact discrete-time model is achieved under appropriate conditions.