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This paper is concerned with the problem of ∞ 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 ∞ performance but is also translated into a linear lower(More)
Complex industrial processes are controlled by the local regulation controllers at the field level, and the setpoints for the regulation are usually made by manual decomposition of the overall economic objective according to the operators' experience. If a precise static process model can be built, real-time optimization (RTO) can be used to generate the(More)
New results on robust H ∞ filtering design for discretetime piecewise linear delay systems Jianbin Qiu a , Gang Feng b & Jie Yang c a Department of Manufacturing Engineering and Engineering Management, University of Science and Technology of China & City University of Hong Kong Joint Advanced Research Center, Suzhou, PR China b Department of Manufacturing(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)