Learn More
This paper investigates the multirate networked industrial process control problem in double-layer architecture. First, the output tracking problem for sampled-data nonlinear plant at device layer with sampling period T<sub>d</sub> is investigated using adaptive neural network (NN) control, and it is shown that the outputs of subsystems at device layer can(More)
—This paper is concerned with the problem of H ∞ model approximation for discrete-time Takagi–Sugeno (T–S) fuzzy time-delay systems. For a given stable T– S fuzzy system, our attention is focused on the construction of a reduced-order model, which not only approximates the original system well in an H ∞ performance but is also translated into a linear lower(More)
This paper revisits the problem of delay-dependent robust energy-to-peak filtering for a class of discrete-time switched linear systems with time-varying state delay and polytopic uncertainties. The objective is to design a homogeneous switched linear filter guaranteeing the asymptotic stability of the resulting filtering error system with a minimized(More)
This paper presents a novel approach to control general nonlinear systems based on Takagi-Sugeno (T-S) fuzzy dynamic models. It is first shown that a general nonlinear system can be approximated by a generalized T-S fuzzy model to any degree of accuracy on any compact set. It is then shown that the stabilization problem of the general nonlinear system can(More)