Yijian Liu

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In this article, a novel predictive controller based on a Bayesian inferring nonlinear model (BMPC) is presented and analyzed. In the construction of the BMPC, the Bayesian inferring model is selected as the predictive model with the characteristics of on-line tracing ability to the actual controlled object. The nonlinear programming method called the(More)
The model identification of the nonlinear system has been concerned by the industrial community all along. The relationship of the nonlinear dynamic system is contained in the data accumulated in the scene. To better utilize the data about the industrial objects, in this article, we put forward the nonlinear system predictor driven by the Bayesian-Gaussian(More)
A computer-based filling and emptying diesel engine simulation model has been developed, which can simulate the operational behavior of diesel engine under different performance failures and different running conditions. This paper firstly describes the simulation models and simulated results of a four-stroke, turbo-charged diesel engine. The calculated(More)
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