In this paper, we develop a sliding mode control architecture to control lung volume and minute ventilation in the presence of modelling system uncertainties. Since the applied input pressure to the lungs is, in general, nonnegative and cannot be arbitrarily large, as not to damage the lungs, a sliding mode control with bounded nonnegative control inputs is proposed. The controller only uses output information (i.e., the total volume of the lungs) and automatically adjusts the applied input pressure so that the system is able to track a given reference signal in the presence of parameter uncertainty (i.e., modelling uncertainty of the lung resistances and lung compliances) and system disturbances. Controllers for both matched and unmatched ...
This paper presents the implementation of a fuzzy proportional integral derivative (FPID) control de...
International audienceThis paper describes a method for designing discrete time static output feedba...
Measuring changes in intracranial pressure (ICP) is critical for diagnosing many cerebral pathologie...
This paper presents the application of adaptive fuzzy sliding mode control (AFSMC) for the respirato...
In this paper, we introduce a variable-gain control strategy for mechanical ventilators in the respi...
The thesis considers the development of robust output feedback sliding mode controllers for linear t...
\u3cp\u3eIn this paper, we introduce a switching control strategy for mechanical ventilators in medi...
This thesis considers the problem of developing sliding mode output tracking controllers for uncerta...
In this study a physiological closed-loop system for arterial CO2 partial pressure control was desig...
In this work, a model-free sliding mode control technique for linear and nonlinear uncertain multi-i...
The mathematical modeling of human respiratory system is an essentially part in saving precision inf...
The proton exchange membrane fuel cell gas control has been one key point in fuel cell management sy...
This paper describes a method for designing discrete time static output feedback sliding mode tracki...
This thesis describes the development of robust discrete time sliding mode controllers where only ou...
In this study, output feedback sliding mode control (OFSMC) is proposed for a class of system with t...
This paper presents the implementation of a fuzzy proportional integral derivative (FPID) control de...
International audienceThis paper describes a method for designing discrete time static output feedba...
Measuring changes in intracranial pressure (ICP) is critical for diagnosing many cerebral pathologie...
This paper presents the application of adaptive fuzzy sliding mode control (AFSMC) for the respirato...
In this paper, we introduce a variable-gain control strategy for mechanical ventilators in the respi...
The thesis considers the development of robust output feedback sliding mode controllers for linear t...
\u3cp\u3eIn this paper, we introduce a switching control strategy for mechanical ventilators in medi...
This thesis considers the problem of developing sliding mode output tracking controllers for uncerta...
In this study a physiological closed-loop system for arterial CO2 partial pressure control was desig...
In this work, a model-free sliding mode control technique for linear and nonlinear uncertain multi-i...
The mathematical modeling of human respiratory system is an essentially part in saving precision inf...
The proton exchange membrane fuel cell gas control has been one key point in fuel cell management sy...
This paper describes a method for designing discrete time static output feedback sliding mode tracki...
This thesis describes the development of robust discrete time sliding mode controllers where only ou...
In this study, output feedback sliding mode control (OFSMC) is proposed for a class of system with t...
This paper presents the implementation of a fuzzy proportional integral derivative (FPID) control de...
International audienceThis paper describes a method for designing discrete time static output feedba...
Measuring changes in intracranial pressure (ICP) is critical for diagnosing many cerebral pathologie...