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An adaptive sliding mode observer for linear systems under malicious attack
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Recent years have witnessed extensive research activities in the development of control law architectures for cyber-physical systems consisting of sensing, computing and communication modules working together to control ...
Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment
(
Elsevier Inc.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
Adaptive sliding mode control for a general nonlinear multicompartment lung model with input pressure and rate saturation constraints
(
John Wiley and Sons Ltd
, 2016 , Article)
Summary In this article, we develop an output feedback adaptive sliding mode controller for a general multicompartment lung mechanics model with nonlinear resistance and compliance respiratory parameters. Specifically, for ...
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
(
Elsevier B.V.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
(
IEEE
, 2014 , Conference Paper)
General anesthesia is required for patients undergoing surgery as well as for some patients in the intensive care units with acute respiratory distress syndrome. How-ever, most anesthetics affect cardiac and respiratory ...
An output-feedback adaptive control architecture for mitigating actuator attacks in cyber-physical systems
(
John Wiley and Sons Ltd
, 2019 , Article)
In this paper, we present a control design framework wherein an adaptive-based corrective signal is augmented to the output of the nominal controller in order to suppress or counteract the effect of malicious actuator ...
Reinforcement learning-based control for combined infusion of sedatives and analgesics
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The focus of several clinical trials and research in the area of clinical pharmacology is to fine tune the drug dosing in the phase of additive, antagonistic, and synergistic drug interactive effects. It is important to ...
A general multicompartment lung mechanics model with nonlinear resistance and compliance respiratory parameters
(
IEEE
, 2014 , Conference Paper)
In this paper, we develop a nonlinear multicompartment lung mechanics model that accounts for nonlinearities in both the airway resistances and the lung compliances. Many models assume that the airway resistances for a ...