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Reinforcement learning-based decision support system for COVID-19
(
Elsevier
, 2021 , Article)
Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and ...
A review of mathematical model-based scenario analysis and interventions for COVID-19
(
Elsevier
, 2021 , Article)
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness ...
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
(
Springer Nature
, 2022 , Article)
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ...
A Novel Proportional Navigation Based Method for Robotic Interception Planning with Final Velocity Control
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
This paper presents a new method for robot interception planning based on the proportional navigation. Guidance laws are basically developed for aerospace applications where a pursuer impacts a target using these methods, ...
Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
(
American Society of Mechanical Engineers (ASME)
, 2015 , Article)
Gas turbines are faced with new challenges of increasing flexibility in their operation while reducing their life cycle costs, leading to new research priorities and challenges. One of these challenges involves the ...
Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique. The key idea is to obtain a Koopman-based reduced-order ...
Event-triggered fault detection and isolation for discrete-time linear systems
(
Institution of Engineering and Technology
, 2016 , Article)
In this study, the problem of event-triggered fault detection and isolation (FDI) for discrete-time linear time invariant systems is considered. Using a Leunberger observer as the residual generator, a multi-objective ...
A Kernel-Based PCA Approach to Model Reduction of Linear Parameter-Varying Systems
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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 ...
Intervention in biological phenomena modeled by S-systems
(
IEEE
, 2011 , Article)
Recent years have witnessed extensive research activity in modeling biological phenomena as well as in developing intervention strategies for such phenomena. S-systems, which offer a good compromise between accuracy and ...
A Bayesian Approach for LPV Model Identification and Its Application to Complex Processes
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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 ...