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Now showing items 81-90 of 95
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 ...
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 ...
A New Approach to Robust MPC Design for LPV Systems in Input-Output Form
(
Elsevier B.V.
, 2018 , Conference Paper)
In this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, ...
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 ...
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 ...
Event-triggered control for discrete-time linear parameter-varying systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper examines a new event-triggered control design approach for discrete-time linear parameter-varying (LPV) systems to reduce the data transmission of the scheduling variables and states to the controller. A parameter ...
MPC-Based Virtual Inertia Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
The aim of the work is to design a model predictive control (MPC)-based auxiliary (virtual inertia (VI)) controller for the load frequency control (LFC) of a non-linear microgrid under high renewable energy source (RES) ...
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
(
American Society of Mechanical Engineers (ASME)
, 2015 , Conference Paper)
In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ...
Multiple sensor fault diagnosis for non-linear and dynamic system by evolving approach
(
2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
, 2012 , Conference Paper)
Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection ...
Covert attack in load frequency control of power systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The purpose of this work is to design a covert agent structure that can create a non-zero frequency deviation in the load frequency control (LFC) system and illustrate the necessity of a secure communication network for ...