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Event-triggered fault detection and isolation for discrete-time linear systems
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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 ...
Adaptive sliding mode-based diagnosis of actuator faults for LPV systems
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John Wiley and Sons Ltd
, 2017 , Article)
In this paper, an adaptive sliding mode observer is developed for actuator fault diagnosis of linear parameter-varying systems. The main advantage of the proposed approach is its ability to cope with time-varying distribution ...
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.
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Elsevier
, 2019 , Article)
In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment ...
A Robust MPC for Input-Output LPV Models
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying models in input-output form subject to constraints. To ensure the ...
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
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Elsevier B.V.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
Robust consensus of autonomous underactuated surface vessels
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Institution of Engineering and Technology
, 2017 , Article)
A distributed robust consensus of multiple autonomous underactuated surface vessels (AUSV) is studied in the presence of unknown environmental disturbances. The vehicles have 3 degrees of freedom and two actuators. Since ...
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. ...
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 ...
Adaptive sliding mode control for a general nonlinear multicompartment lung model with input pressure and rate saturation constraints
(
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 ...