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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 ...
Suboptimal control reconfiguration in switched multi-agent networked systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this work, the control recovery problem in a directed network of switched multi-agent systems is studied. A distributed cooperative control strategy is proposed which ensures that the agents reach a consensus while the ...
On design of suboptimal tracking controller for a class of nonlinear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, a new technique for solving the suboptimal tracking problem for a class of nonlinear dynamical systems based on the pseudo linearization is presented. Towards this end, an optimal tracking problem using a ...
Design of a hydraulic ankle-foot orthosis
(
IEEE Computer Society
, 2016 , Conference Paper)
This paper presents the design and simulation of an ankle-foot orthosis (AFO) to assist human walking. Design requirements were established based on a quantitative study of published data, simulations of human walking, and ...
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 ...
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 ...
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ...
Fault detection and isolation of two-dimensional (2D) systems
(
Elsevier B.V.
, 2017 , Article)
In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ...
Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine
(
Elsevier Ltd
, 2015 , Article)
Sensors are one of the crucial components in gas turbines and the failure in sensor measurements can lead to serious problems in maintaining their safety and performance requirements. Our aim in this paper is to develop ...
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 ...