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Distributed event-triggered consensus-based control for current sharing and voltage stabilization of DC microgrids
(
Elsevier B.V.
, 2020 , Conference Paper)
In this paper, the problem of distributed event-based control of large scale power systems is addressed. Towards this end, a Direct Current (DC) microgrid that is composed of multiple interconnected Distributed Generation ...
Simultaneous Actuator Fault Estimation and Fault-tolerant Tracking Control for Multi-agent Systems: A Sliding-mode Observer-based Approach
(
Taylor and Francis Ltd.
, 2020 , Article)
This study is concerned with the design of a distributed simultaneous fault estimation and fault-tolerant control scheme for linear multi-agent systems subject to actuator faults. For each agent, a sliding-mode observer-based ...
Dynamical observer for continuous linear Roesser systems
(
Elsevier B.V.
, 2020 , Conference Paper)
Monitoring of industrial systems for anomalies such as faults and cyber-attacks as unknown and extremely undesirable inputs in the presence of other inputs (like disturbances) is an important issue for ensuring the safety ...
Distributed Fast Fault Detection in DC Microgrids
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The problem of distributed fast fault detection for a direct current (dc) microgrid that is composed of multiple interconnected distributed generation units (DGUs) is addressed in this article. A local fault detector is ...
Global dissipativity of high-order Hopfield bidirectional associative memory neural networks with mixed delays
(
Springer
, 2020 , Article)
In this paper, the problem of the global dissipativity of high-order Hopfield bidirectional associative memory neural networks with time-varying coefficients and distributed delays is discussed. By using Lyapunov?Krasovskii ...
Global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays
(
Taylor and Francis Ltd.
, 2020 , Article)
This paper is concerned with the global dissipativity of fuzzy cellular neural networks with inertial term and proportional delays. Based on Lyapunov functionals and linear matrix inequality approach, new sufficient ...