نتایج جستجو برای: nonlinear predictive contro
تعداد نتایج: 359623 فیلتر نتایج به سال:
surge is one of the two destructive factors in compressors. surge is the stream instability phenomenon in compressor that imposes severe damages to the compressors. nowadays, suppressingsurge phenomenon is one of the most important issues in oil and gas industries, especially when flow reduction or gas reflux is considered. according to moore-greitzer compressor model, this paper designs an act...
this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays. an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...
This paper addresses the problem of controlling a nonlinear process when linear models have been identified at different operating points. A multimodel approach is used to to identify and contro l highly nonlinear process. The internal linear model representation of the nonlinear plant for conventional robust controller is replaced by the linear parameter varying (LPV) model, which introduces t...
laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. therefore, it is widely adopted for complex industrial process control. in this work, laguerre function based adaptive model predictive control algorithm (ampc) was implemented to control continuous stirred tank rea...
capital asset pricing model (capm) has been among the common models to estimate expected returns rate. since the linearity assumption is considered in the standard version of the capital asset pricing model, estimating beta in nonlinear setting will be inconsistent and bias-oriented. therefore, this study tries to evaluate predictive power of nonlinear capital asset pricing model as well as sta...
The analysis study has been done for a First Order Plus Delay Time (FOPDT) model controlled by Proportional Integral Derivative (PID), proportional integral(PI),Internal Model Controller(IMC) and Model Predictive Control (MPC) using MATLAB software. The study has been done for both MPC and conventional control methods to design the controller for the level tank system and the results has been c...
A nonlinear model predictive control (NMPC) algorithm based on neural network is designed for boiler- turbine system. The boiler–turbine system presents a challenging control problem owing to its severe nonlinearity over a wide operation range, tight operating constraints on control move and strong coupling among variables. The nonlinear system is identified by MLP neural network and neur...
DURING the past decade vascular malformations of the superior mediastinum have been the object of intense clinical interest. However, the occurrence of anomalies of the pulmonary artery as a cause of tracheobronchial obstruction has gone almost unrecognized. We previously reported 3 cases in which significant respiratory obstruction was produced by a left pulmonary artery coursing anomalously a...
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