This paper considers the distributed secondary control for direct current (DC) microgrid to regulate the DC bus voltage containing local loads. An adaptive event-triggered protocol is employed to update the control in...
详细信息
This paper considers the distributed secondary control for direct current (DC) microgrid to regulate the DC bus voltage containing local loads. An adaptive event-triggered protocol is employed to update the control input to save transmission energy and ensure the control performance. Depending on the switch of the converter, a switching dynamical equation is proposed to describe a microgrid with a DC-DC boost converter. Moreover, the Lyapunov technique is developed to assure the stability of the system, which effectively handles real-time precision of input and model uncertainties. Combining this method with proportionate load sharing enables global average voltage management and the system performance preservation in DC microgrids for a variety of disturbances. Finally, the effectiveness of the proposed method is verified by simulation.
This paper is concerned with the outlier-resistant observer-based control problem for a class of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems under adaptive event-triggered protocol (AETP). To improve the e...
详细信息
This paper is concerned with the outlier-resistant observer-based control problem for a class of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems under adaptive event-triggered protocol (AETP). To improve the efficiency of resource utilization, AETP is mainly through an adjustable threshold parameter to dynamically schedule the data transmission, which occurs in the sensor-to-controller channel. In order to resist the abnormal measurement values, an output saturation composition is constructed in the observer. With the aid of Lyapunov theory, sufficient conditions are obtained to ensure the desired performance. Furthermore, the desired controller is designed for a class of IT2 T-S fuzzy systems. The combination of orthogonal decomposition and linear matrix inequalities is implemented to deal with the nonlinear coupling terms in the gain solving process. Finally, a numerical example is employed to justify the practicality and effectiveness of the proposed control scheme.
It is challenging to ensure car driving comfort and safety under denial-of-service (DoS) jamming attacks. For this reason, this article proposes a resilient-based and attack-intensity adaptiveevent-triggered control ...
详细信息
It is challenging to ensure car driving comfort and safety under denial-of-service (DoS) jamming attacks. For this reason, this article proposes a resilient-based and attack-intensity adaptiveevent-triggered control scheme to study the H-infinity controlled networked active quarter-vehicle suspension systems (QVSSs), which reduces the frequency of controller updates and provides robust resistance to DoS attacks. It is shown that if the tendency of DoS attack intensity increases, more communication signals can be transmitted to the controller. Conversely, if the tendency of DoS attack intensity decreases, fewer communication signals are being utilized. Using the novel two-side looped-functional method and some technical lemmas, sufficient conditions for the exponential stability and H-infinity control performance of QVSSs are obtained. Simulation results indicate that the suggested control approach enhances driving comfort and safety while reducing the data transmission burden.
This paper deals with the synchronization for semi-Markovian jump neural networks (S-MJNNs) with DoS attacks and adaptive event-triggered protocol. Aiming at reducing some conservatism of sojourn-time-exponential dist...
详细信息
This paper deals with the synchronization for semi-Markovian jump neural networks (S-MJNNs) with DoS attacks and adaptive event-triggered protocol. Aiming at reducing some conservatism of sojourn-time-exponential distribution of Markovian process, the semi-Markovian process is adopted to describe the sudden changes in structures and parameters. As a class of networked systems, the securities of dynamical systems are vulnerable to the DoS attacks that are supposed to obey the frequency constraint. First, on the basis of fully considering the characteristics of aperiodic DoS attacks, a feedback controller is constructed to realize the synchronization among the master-slave systems, in which an adaptive event-triggered protocol is adopted to adjust the amount of triggered data and save network resources more effectively than traditional event-triggeredprotocol. Then, sufficient conditions to ensure the exponential synchronization and solvable controller gain of the underlying S-MJNNs are given by means of stochastic Lyapunov stability and integral inequality. Finally, the quadruple-tank process model is shown to verify the proposed method. Note to Practitioners-As one of the research hotspots of neural networks, synchronization plays a crucial role in pattern recognition, associative memory, and information science. With the development of computer science and network technology, the information transmission is carried out through the network in the synchronized control of neural networks, which is bound to be affected by the non-ideal network environment. Therefore, the research on synchronization control should not only consider the realization of control method, but also consider the influence of network delay, cyber attacks, and other non-ideal network environment on system performance from the perspective of communication network. In this paper, the synchronization is studied for S-MJNNs with DoS attacks and adaptive event-triggered protocol. On the basis of full
暂无评论