Real-time lebesgue-sampled model for continuous-time nonlinear systems

Abstract

Traditional model-based approaches are based on periodic sampling, where the model is discretized with a fixed period. Despite the easiness in analysis and design, periodic sampling may be undesirable from the computation-efficiency point of view. This paper presents the Lebesgue-sampled model (LSM) of continuous-time nonlinear systems, where the state… (More)
DOI: 10.1109/CDC.2014.7040070

4 Figures and Tables

Cite this paper

@article{Wang2014RealtimeLM, title={Real-time lebesgue-sampled model for continuous-time nonlinear systems}, author={Xiaofeng Wang and Bin Zhang}, journal={53rd IEEE Conference on Decision and Control}, year={2014}, pages={4367-4372} }