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السجلات المعروضة 41 -- 50 من 81
Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
(
2013 IEEE International Conference on Prognostics and Health Management, PHM 2013
, 2013 , Conference Paper)
Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ...
Event-triggered fault detection for networked control systems subject to packet dropout
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
This paper investigates the problem of fault detection for discrete-time networked systems subject to packet dropout under an event-triggered scheme. The packet dropout has been modeled as a Markov process and an event-triggered ...
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ...
Control reconfiguration for multiple autonomous vehicles subject to actuator faults and disturbances
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, control reconfiguration problem in a team of multi-agent systems subject to actuator faults and environmental disturbances is studied. The proposed distributed control strategy has the capability of being ...
Robust Hybrid EKF approach for state estimation in multi-scale nonlinear singularly perturbed systems
(
IEEE
, 2014 , Conference Paper)
In this paper a general framework is developed for state estimation in a class of nonlinear continuous-time singularly perturbed systems. Our approach is based on the hybrid extended Kalman filter in which observations are ...
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 ...
State-dependent adaptive dynamic programing for a class of continuous-time nonlinear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The state-dependent Riccati equation (SDRE) technique can be used to solve optimal control problems for a wide class of nonlinear dynamical systems. In this method, instead of solving a complicated Hamilton-Jacobi-Bellman ...
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
(
2013 7th IEEE GCC Conference and Exhibition, GCC 2013
, 2013 , Conference Paper)
This paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems ...
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
(
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ...