Abstract This paper proposes a Model Predictive Control (MPC) approach of both anesthesia and hemodynamic systems. The designed control strategy has been validated on novel unique patient simulator. aim this is to evaluate the feasibility MIMO closed-loop variables taking into account interaction (synergic antagonistic) between subsystems. proposed methodology takes variability, robust subsyste...

background: except in emergency cases, all patients should be seen first by a primary healthcare physician who decides whether a referral to secondary care is necessary. the present study examined the reasons for patient self-referral to specialists. methods: a random sample of 1036 individuals was selected from people attending public outpatient clinics and specialists’ offices in the private ...

We compare open loop versus closed loop identiication when the identiied model is used for control design, and when the system itself belongs to the model class, so that only variance errors are relevant. For three diierent control design criteria (minimum variance, LQG and model reference control) we show that, under those conditions, a better performance is achieved by closing the loop during...

In this paper, control of a non-isothermal continuous stirred tank reactor in which two parallel autocatalytic reactions take place has been addressed. The reactor shows chaotic behavior for a certain set of reactor parameters. In order to control the product concentration, an optimal state feedback controller has been designed. Since concentrations of reactor species are ...

The State-Dependant Riccati Equation method has been frequently used to design suboptimal controllers applied to nonlinear dynamic systems. Different methods for local stability analysis of SDRE controlled systems of order greater than two such as the attitude dynamics of a general rigid body have been extended in literature; however, it is still difficult to show global stability properties of...

This paper is concerned with the problem of design and implementation a robust adaptive control strategy for flexible joint electrically driven robots (FJEDR), while considering to the constraints on the actuator voltage input. The control design procedure is based on function approximation technique, to avoid saturation besides being robust against both structured and unstructured uncertaintie...