Electrical Engineering: Recent submissions
Now showing items 1301-1320 of 2646
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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 ... -
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 ... -
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
( 2013 1st American Control Conference, ACC 2013 , 2013 , Conference Paper)In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ... -
Simultaneous fault detection and control design for an autonomous unmanned underwater vehicle
( 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 , 2013 , Conference Paper)In this paper, the problem of simultaneous fault detection and control (SFDC) for an autonomous unmanned underwater vehicle (AUV) is considered. An H∞ formulation of the SFDC problem using a dynamic observer is developed. ... -
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 ... -
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 ... -
Robust cooperative control reconfiguration/recovery in multi-agent systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations and environmental disturbances is investigated. Two controllers, namely the ... -
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 ... -
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 ... -
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 ... -
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
( American Society of Mechanical Engineers , 2014 , Article)In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme is based on the multiple model ... -
Cost performance based control reconfiguration in multi-agent systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations is investigated. The control protocol consists of two parts: healthy system ... -
A Bayesian approach for estimation of linear-regression LPV models
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a Bayesian framework for identification of linear parameter-varying (LPV) models with finite impulse response (FIR) dynamic structure is introduced, in which the dependency structure of LPV system on the ... -
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ... -
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ... -
Optimal control of midazolam infusion for post operative patients in intensive care units
( Wiley-Blackwell , 2015 , Article)The critical task of anesthesia administration demands optimal drug titration by considering patient-specific features and sedation requirements. Though there exist several sedation assessment monitors, physicians still ... -
An MPC approach for LPV systems in input-output form
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability ... -
Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes a method for reduction of scheduling dependency in linear parameter-varying (LPV) systems. In particular, both the dimension of the scheduling variable and the corresponding scheduling region are shrunk ... -
A kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
( Elsevier B.V. , 2015 , Conference Paper)This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ...