‎in this paper‎, ‎we consider the optimal asset control of a financial company which can control its liquid reserves by paying dividends and by issuing new equity‎. ‎we assume that the liquid surplus of the company in the absence of control is modeled by the diffusion model‎. ‎it is a hot topic to maximize the expected present value of dividends payout minus equity issuance until the time of ba...

This paper describes structured neural models and a computationally efficient (suboptimal) nonlinear Model Predictive Control (MPC) algorithm based on such models. The structured neural model has the ability to make future predictions of the process without being used recursively. Thanks to the nature of the model, the prediction error is not propagated. This is particularly important in the ca...

In this paper we propose an on-line design technique for the target control problem of hybrid automata. First, we compute off-line the shortest path, which has the minimum discrete cost, from an initial state to the given target set. Next, we derive a controller which successfully drives the system from the initial state to the target set while minimizing a cost function. The model predictive c...

Aim: This study evaluates the association between health-promoting lifestyles and diabetes knowledge with glycemic control in adults type 2 diabetes.
 Methods: cross-sectional employed convenience sampling a structured interview questionnaire consisting of following measures: demographic clinical characteristics, Health Promotion Lifestyle Profile II, questionnaire, laboratory measurements...

OBJECTIVE Postchallenge hyperglycemia (PCH) is known to contribute to suboptimal glycemic control in adults with non-insulin-requiring type 2 diabetes. The objective of this study was to estimate the prevalence of PCH among individuals with diabetes. RESEARCH DESIGN AND METHODS We conducted a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey (198...

The research on control loop performance monitoring and diagnostics has been and remains to be one of the most active research areas in process control community. Despite of numerous developments, it remains as a considerably challenging problem to obtain a minimum variance control benchmark from routine operating data for multivariable process since the solution relies on the interactor matrix...

This paper deals with the modeling, analysis, design and simulation of a robust control method for a permanent magnet synchronous machine (PMSM) supplied with a PWM inverter based on a LPV (Linear Parameter Variation)  standard controller. Under the influence of uncertainties and external disturbances, by a variation of ±150% of motor parameters from the nominal values, the robust performance c...