an attempt is made for the first time to solve the quadratic and cubic model of magneto hydrodynamic poiseuille flow of phan-thein-tanner (ptt). series solution of magneto hydrodynamic (mhd) flow is developed by using homotopy perturbation method (hpm). results are presented graphically and the effects of non-dimensional parameters on the flow field are analyzed. the results obtained reveals ma...

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...

In this paper the real-world occurrence of the multiple-product multiple-constraint single period newsboy problem with two objectives, in which there is incremental discounts on the purchasing prices, is investigated. The constraints are the warehouse capacity and the batch forms of the order placements. The first objective of this problem is to find the order quantities such that the expected ...

the objective of this study was to investigate the drying kinetics of oyster mushroom, pleurotus ostreatus mushrooms were dried using a cabinet-type convective dryer. air temperatures of 50, 60 and 70 oc were used for the drying experiments. the experimental drying data were fitted to different theoretical models to predict the drying kinetics. nonlinear regression analysis was performed to rel...

In many cases economic optimal operation is the same as maximum plant throughput. This corresponds to maximum flow through the bottleneck(s). This insight may greatly simplify implementation and a real-time optimization (RTO) based on a nonlinear model is not necessary. The key issue is to identify the active "bottleneck" constraint and a coordinator MPC based on a linear model with constraints...

This paper presents a nonparametric identification of continuous-time nonlinear systems by using a Gaussian process (GP) model. The GP prior model is trained by artificial bee colony algorithm. The nonlinear function of the objective system is estimated as the predictive mean function of the GP, and the confidence measure of the estimated nonlinear function is given by the predictive covariance...

The problem of identifying the parameters of the constituent local linear models of Takagi–Sugeno fuzzy models is considered. In order to address the tradeoff between global model accuracy and interpretability of the local models as linearizations of a nonlinear system, two multiobjective identification algorithms are studied. Particular attention is paid to the analysis of conflicts between ob...