Asynchronous Sampled-Data Filtering Design for Fuzzy-Affine-Model-Based Stochastic Nonlinear Systems
Jianbin Qiu, Wenqiang Ji, Imre J. Rudas, Huijun Gao
Abstract
This article studies the asynchronous sampled-data filtering design problem for Itô stochastic nonlinear systems via Takagi-Sugeno fuzzy-affine models. The sample-and-hold behavior of the measurement output is described by an input delay method. Based on a novel piecewise quadratic Lyapunov-Krasovskii functional, some new results on the asynchronous sampled-data filtering design are proposed through a linearization procedure by using some convexification techniques. Simulation studies are given to illustrate the effectiveness of the proposed method.
Topics & Concepts
Asynchronous communicationNonlinear systemAffine transformationControl theory (sociology)LinearizationComputer scienceFuzzy logicMathematicsMathematical optimizationAlgorithmArtificial intelligenceControl (management)Pure mathematicsPhysicsQuantum mechanicsComputer networkStability and Control of Uncertain SystemsNeural Networks Stability and SynchronizationControl Systems and Identification