Search
Now showing items 11-20 of 70
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Obtaining mathematical models that can accurately describe nonlinear dynamics of complex processes and be further used for model-based control design is a challenging task. In this brief, a Bayesian approach is introduced ...
A Negative Selection Immune System Inspired Methodology for Fault Diagnosis of Wind Turbines
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
High operational and maintenance costs represent as major economic constraints in the wind turbine (WT) industry. These concerns have made investigation into fault diagnosis of WT systems an extremely important and active ...
Event-Triggered Suboptimal Tracking Controller Design for a Class of Nonlinear Discrete-Time Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
In this paper, using the state-dependent Riccati equation approach, an event-triggered technique is proposed to solve the tracking problem for a broad class of nonlinear discrete-time networked control systems. It is shown ...
A geometric approach to fault detection and isolation of multi-dimensional (n-D) systems
(
Springer New York LLC
, 2017 , Article)
In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time multi-dimensional (n-D) systems for the first time in the literature. These systems represent as generalization of the ...
Event-Triggered Multiobjective Control and Fault Diagnosis: A Unified Framework
(
IEEE Computer Society
, 2017 , Article)
In the area of robust control, fault diagnosis, and fault tolerant control of linear systems, many fundamental problems can be recast as H-\infty, l-1 and generalized H-2 control frameworks leading to the so-called mixed ...
Stochastic model predictive tracking of piecewise constant references for LPV systems
(
Institution of Engineering and Technology
, 2017 , Article)
This study addresses a stochastic model predictive tracking problem for linear parameter-varying (LPV) systems described by affine parameter-dependent state-space representations and additive stochastic uncertainties. The ...
A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
This brief presents a model reduction method for linear parameter-varying (LPV) systems using kernel-based principal component analysis (PCA). For state-space LPV models that are affine or rational in the scheduling variables ...
Fault-tolerant control of non-linear systems based on adaptive virtual actuator
(
Institution of Engineering and Technology
, 2017 , Article)
A new adaptive fault-tolerant control architecture for Lipschitz non-linear systems is developed. Specifically, the proposed approach involves a novel adaptive virtual actuator which is inserted between the faulty plant ...
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ...
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
(
Academic Press
, 2016 , Article)
In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ...