A comprehensive simulation and optimization platform which offers a lot of functions such as decision analysis, production scheduling optimization and process dynamic simulation is urgently required for today's pr...
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A virtual factory integrated manufacturing system combined with system simulation and virtual reality is introduced in this paper. We describe the system architecture and development methodology, provide the working p...
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This paper is concerned with the stabilization problem of wireless networked controlsystems with network-induced delays of time-varying Markovian characterization. The effects of the sample rate changing on the netwo...
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The design of robust H-infinity controller for uncertain discrete-time Markovianjump systems with actuator saturation is addressed in this paper. The parameter uncertainties are assumed to be norm-bounded. Linear matr...
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The design of robust H-infinity controller for uncertain discrete-time Markovianjump systems with actuator saturation is addressed in this paper. The parameter uncertainties are assumed to be norm-bounded. Linear matrix inequality （LMI） conditions are proposed to design a set of controllers in order to satisfy the closed-loop local stability and closed-loop H-infinity performance. Using an LMI approach, a set of state feedback gains is constructed such that the set of admissible initial conditions is enlarged and formulated through solving an optimization problem. A numerical example is given to illustrate the effectiveness of the proposed methods.
Learning control of dynamical systems based on Markov decision processes (MDPs) is an interdisciplinary research area of machine learning, control theory, and operations research. The main objective in this research a...
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Model predictive controltechnology can now be found widely in a variety of applications including petroleum, chemical and papermaking industries. An approach is proposed to decide a benchmark and monitor model predic...
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To avoid the problem of estimating a general interactor, an improved computational method for user-specified benchmark is presented in this paper. The improved user-specified benchmark together with the historical ben...
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The development of next generation of industrialcontrol to meet business requirement and elegantly utilize the latest information technologies has been a challenge and opportunity to industrialcontrol community in c...
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In order to create a new mimic of glutathione peroxidase（GPx）, bioimprinting was used to generate gluta-thione（GSH） binding site and chemical modification was used to incorporate catalytic group selenocystine（Sec...
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In order to create a new mimic of glutathione peroxidase（GPx）, bioimprinting was used to generate gluta-thione（GSH） binding site and chemical modification was used to incorporate catalytic group selenocystine（Sec）. Human serum albumin（HSA） and S-substituted dinitrophenyl glutathione（GSH-S-DNP） were chosen as the imprinted matrix and imprinting template, respectively, to generate a GSH-imprinted protein（GSH-HSA） by bioimprinting. Sec was incorporated into the GSH-HSA by chemical modification to give a new GPx mimic（Se-GSH-HSA）. Se-GSH-HSA displayed considerably higher GPx activity than non-printed HSA（Se-HSA）. The enzymic properties and kinetics of Se-GSH-HSA were studied. Moreover, Se-GSH-HSA was confirmed to have stronger antioxidant ability to protect mitochondria against oxidative damage with ferrous sulfate/ascorbate-induced mitochondria damage model, indicating that Se-GSH-HSA has potential application in medicine.
A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based...
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