Combining the use of the adaptive dynamic programming method and optimized backstepping strategy, this paper focuses on the secure consensus problem for constrained nonlinear multi-agent systems (MASs) subject to deni...
详细信息
Combining the use of the adaptive dynamic programming method and optimized backstepping strategy, this paper focuses on the secure consensus problem for constrained nonlinear multi-agent systems (MASs) subject to denial-of-service (DoS) attacks and input delay. Since network channels between some agents often suffer from intrusions by attackers during data transmission, we consider information transfers in both attack-sleep and attack-active scenarios, and construct a novel distributed observer with a switched mechanism to estimate the leader's state information. In order to optimize system performances while ensuring that the system states do not exceed constraint sets, a new performance index function and a tan-type barrier Lyapunov function (BLF) are introduced. Besides, by employing the Pade approximation and an intermediate variable, the effect of input delay is removed. As a consequence, the proposed optimal control can smoothly steer the nonlinear MASs to realize the followers-leader consensus tracking goal, and all system states are consistently constrained within their compact sets. Finally, simulation results verify the effectiveness of this control scheme.
In the presence of parametric uncertainties for microgrids, this paper proposes an adaptive secondary control method via the distributed adaptivedynamicprogramming theory. For the controller design, a single critic ...
详细信息
In the presence of parametric uncertainties for microgrids, this paper proposes an adaptive secondary control method via the distributed adaptivedynamicprogramming theory. For the controller design, a single critic neural network is introduced to deal with the uncertainties in the model of distributed generators. By using such technique, the secondary controller can be trained directly from data measurements and thus can adapt to system or external disturbances. In addition, the proposed controller is distributed, which means that the realization of the controller only needs the information of each distributed generator and its neighbors on the communication digraph. Thus, the requirement for a central controller is obviated and the system reliability is improved. Accordingly, stability of the closed-loop system is proved by Lyapunov technique. Finally, 4 scenarios including the islanding process, changes in system parameters, load variation, and changes in communication topology are given to demonstrate the effectiveness of the proposed method by a microgrid test system in MATLAB/SimPowerSystems.
This paper studies the distributed optimal consensus problem for a group of continuous-time linear systems in the scenario that the dynamics of linear systems are completely unknown. Both an optimal state feedback con...
详细信息
This paper studies the distributed optimal consensus problem for a group of continuous-time linear systems in the scenario that the dynamics of linear systems are completely unknown. Both an optimal state feedback control law and an optimal output feedback control law are constructed by solving the Algebraic Riccati Equation (ARE) that contains no global information, which guarantees the consensus of linear systems and the global optimality. adaptivedynamicprogramming (ADP) method is presented to solve the ARE, thus the control algorithms are not relying on the dynamics of linear systems any more. Finally, numerical simulation results are presented to demonstrate the efficiency of proposed approach.
暂无评论