An adaptiveevent trigger H Load Frequency Control（LFC） is studied for power systems subjected to probability denial of service（DOS） attacks in this *** LFC design specifically consider the existence of DOS ***, a...
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An adaptiveevent trigger H Load Frequency Control（LFC） is studied for power systems subjected to probability denial of service（DOS） attacks in this *** LFC design specifically consider the existence of DOS ***, a time-delay model related to area control error is established for power ***, an adaptiveevent trigger parameter communication scheme is designed, which adaptively changes the parameter of the event trigger according to whether the last communication line was attacked by *** scheme not only considers DOS attack, but also has the advantage of improving communication ***, for DOS attacks in the system, an H filter is designed and a filtering error model is ***, based on the filtering error model, using Lyapunov stability theory and linear matrix inequality（LMI） technology, the sufficient conditions for the mean square asymptotic stability of load frequency control power system and the design method of H filter are given ***, a case study is given to verify the effectiveness of this method.
This paper investigates the event-triggered secondary regulation problem for islanded alternating-current (AC) microgrids with unknown communication link faults. In order to handle unknown time-varying communication l...
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This paper investigates the event-triggered secondary regulation problem for islanded alternating-current (AC) microgrids with unknown communication link faults. In order to handle unknown time-varying communication link faults and avoid utilizing global information, a distributed secondary regulation strategy is proposed, which achieves voltage and frequency regulations, as well as power sharing. Meanwhile, to save system resources and relieve the communication burden, an adaptiveevent-triggered mechanism is designed. Finally, an islanded AC microgrid test system is built in MATLAB/SimPowerSystems to validate the proposed strategy. It indicates that the proposed strategy highly reduces the controller updates and increases the reliability of system.
This paper focuses on the event-triggered quantized secondary regulation problem for islanded alternating-current (AC) microgrids with actuator faults. In order to handle the actuator faults, including bias faults and...
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This paper focuses on the event-triggered quantized secondary regulation problem for islanded alternating-current (AC) microgrids with actuator faults. In order to handle the actuator faults, including bias faults and partial loss of effectiveness faults, a distributed secondary regulation strategy is proposed, which achieves voltage and frequency regulations, as well as power sharing. Due to the limited communication bandwidth, a uniform quantizer is introduced for information transmission. Meanwhile, to save system resources and relieve the communication burden, an adaptiveevent-triggered mechanism is designed. Finally, the proposed strategy is validated by using an islanded AC microgrid test system built in MATLAB/SimPowerSystems, which indicates that the proposed strategy increases the reliability of system and reduces the controller update times.
This brief addresses the event-triggered (ET) consensus of nonlinear multi-agent systems (MASs) over directed graphs. A new nonlinearity condition is presented which can be applied specifically for ET consensus of a c...
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This brief addresses the event-triggered (ET) consensus of nonlinear multi-agent systems (MASs) over directed graphs. A new nonlinearity condition is presented which can be applied specifically for ET consensus of a class of nonlinear MASs. The proposed condition is employed to design distributed consensus controller with exponential stability via dynamic ET mechanism for nonlinear systems. Based on the proposed condition, the resultant dynamic ET consensus approach guarantees elimination of the Zeno behavior. In contrast to existing linear studies, both handling of nonlinear dynamics and design of dynamic ET mechanism for nonlinear MASs are addressed. Simulation results are provided to verify the proposed approach.
This paper addresses the Dynamic Output Feedback Control (DOFC) problem for the network-based unmanned marine vehicle (UMV) systems, where the controller is located at the land-based console. The output measurements o...
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This paper addresses the Dynamic Output Feedback Control (DOFC) problem for the network-based unmanned marine vehicle (UMV) systems, where the controller is located at the land-based console. The output measurements on the system are transmitted to the land-based console via a communication network. A novel event-based transmission mechanism is devised to alleviate the communication burden, where the threshold of the event function is intelligently updated by a Q-learning algorithm. Since the communication delay is inevitably present in the networked controller design, a time-delay system model is established which incorporates both event-based transmission and communication delay. With help of the Lyapunov stability theory and the extended reciprocally convex matrix inequality approach, a sufficient condition is obtained which ensures asymptotic stability of the tracking error system while a prescribed H-infinity disturbance attenuation performance is met. Finally, the simulation study on a benchmark system shows that the proposed controller design not only attenuates the Yaw Velocity (YV) error variation and the Yaw Angle (YA) oscillation, but also reduces the communication load effectively. Compared with the existing results in literature, it is shown that the proposed control algorithm can provide a better tracking performance.
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