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Prognosis and Health Monitoring of Nonlinear Systems Using a Hybrid Scheme Through Integration of PFs and Neural Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
In this paper, a novel hybrid architecture is proposed for developing a prognosis and health monitoring methodology for nonlinear systems through integration of model-based and computationally intelligent-based techniques. ...
Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models.
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Springer
, 2020 , Article)
Breast cancer is one of the major causes of mortality in women worldwide. The most aggressive breast cancer subtypes are human epidermal growth factor receptor-positive (HER2) and triple-negative breast cancers. Therapies ...
A Distributed Control Reconfiguration and Accommodation for Consensus Achievement of Multiagent Systems Subject to Actuator Faults
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
This paper tackles the development of distributed control reconfiguration and fault accommodation strategies for consensus achievement in multiagent systems in the presence of faulty agents whose actuators are unable to ...
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 ...
Adaptive sliding mode control for a general nonlinear multicompartment lung model with input pressure and rate saturation constraints
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John Wiley and Sons Ltd
, 2016 , Article)
Summary In this article, we develop an output feedback adaptive sliding mode controller for a general multicompartment lung mechanics model with nonlinear resistance and compliance respiratory parameters. Specifically, for ...
Event-triggered constant reference tracking control for discrete-time LPV systems with application to a laboratory tank system
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Institution of Engineering and Technology
, 2017 , Article)
This study develops a novel event-triggered control design methodology for discrete-time dynamic systems characterised by linear parameter-varying (LPV) models. To this end, an event-triggering mechanism is first introduced ...
An output-feedback adaptive control architecture for mitigating actuator attacks in cyber-physical systems
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John Wiley and Sons Ltd
, 2019 , Article)
In this paper, we present a control design framework wherein an adaptive-based corrective signal is augmented to the output of the nominal controller in order to suppress or counteract the effect of malicious actuator ...
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 ...
A Negative Selection Immune System Inspired Methodology for Fault Diagnosis of Wind Turbines
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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
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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 ...