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Intervention in biological phenomena modeled by S-systems: A model predictive control approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2011 , Conference Paper)
Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise ...
Event-triggered fault detection for discrete-time linear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper the problem of event-triggered fault detection filter for discrete-time linear systems is considered and a multi-objective formulation of the problem is presented based on H, H- and generalized H2 performance ...
Direct adaptive disturbance rejection control for sedation and analgesia
(
IEEE Computer Society
, 2014 , Conference Paper)
Patient care in intensive care units involves the combined administration of several drugs. Apart from the desired drug effect, often such drugs disturb other physiological functions of the patient. Control strategies based ...
Optimal control of midazolam infusion for post operative patients in intensive care units
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
The critical task of anesthesia administration demands minimal drug titration by considering patient specific features and sedation requirements. Though there exist several sedation assessment monitors, physicians still ...
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ...
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
(
ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011
, 2011 , Conference Paper)
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which ...
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In this paper, a novel method for a time-varying parameter estimation technique using particle filters is proposed based on the concept of Recursive Prediction Error (RPE). According to the proposed method, a parallel ...
Fault detection and isolation of Riesz spectral systems: A geometric approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
The Riesz spectral (RS) systems represent a large class of parabolic and hyperbolic partial differential equations (PDE) in infinite-dimensional systems. In this work, a fault detection and isolation (FDI) methodology for ...
A novel particle filter parameter prediction scheme for failure prognosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Particle filters are well-known as powerful tools for accomplishing state and parameter estimation and their propagation prediction in nonlinear dynamical systems. Their ability to include system model parameters as part ...
Wavelet-based multiscale filtering of genomic data
(
IEEE Computer Society
, 2012 , Conference Paper)
Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...