Distributed Adaptive Event-Triggered Fault-Tolerant Synchronization for Multiagent Systems

Intl J Robust & Nonlinear

Sun

Chen

2021

This article is concerned with the stability of switched nonlinear time‐delay systems with asynchronous switching. We start by extending the well‐known concept of integral input‐to‐state stability (iISS) to finite‐time integral input‐to‐state stability (FTiISS). It is clear to find that the new concept of FTiISS plays an important role in many branches of engineering and science. Leveraging the Razumikhin‐type theorem along with the average dwell time (ADT) and mode‐dependent ADT methods, sufficient ISS, iISS, finite‐time ISS, and FTiISS criteria for switched nonlinear time‐delay systems under asynchronous switching are presented. Our proposed results improve upon the existing results by removing some restrictive conditions, and subsume some existing ones as special cases. Finally, simulation examples are provided to illustrate the effectiveness and advantages of our results.

Section: Introductionmentioning

confidence: 99%

Finite‐time integral input‐to‐state stability for switched nonlinear time‐delay systems with asynchronous switching

Intl J Robust & Nonlinear

Sun

Chen

2021

“…Since faults may cause the instability of LSSs if they are not compensated and handled promptly, 22 the fault‐tolerant control (FTC) for nonlinear LSSs becomes a hot topic. In order to improve system reliability and security, several distributed and decentralized FTC methods have been proposed for linear multiagent systems 23,24 and weakly interconnected nonlinear LSSs, 2‐4,25,26 respectively. In detail, the decentralized adaptive FTC for nonlinear LSSs with unknown dead zones is proposed in the work of Chen and Tao 25 .…”

Section: Introductionmentioning

confidence: 99%

Decentralized adaptive tracking control for nonlinear large‐scale systems with unknown control directions

Intl J Robust & Nonlinear

Sun

2021

This article investigates decentralized adaptive tracking problems for nonlinear large‐scale systems with strong interconnections, unknown control directions and actuator faults. In the presence of measurable system states, a decentralized state feedback control algorithm with a certain inherent fault tolerance capabilities is developed using the dynamic surface control and adaptive techniques. Particularly, a special Nussbaum gain is introduced in the control laws to compensate unknown control directions and unknown bounds of actuator efficiency factor. Using the graph theory and Lyapunov analysis method, it is proved that the designed fault‐tolerant state feedback controller can drive the tracking error for each subsystem to a small neighborhood of the origin while keeping the semiglobal uniform ultimate boundedness for all other closed‐loop signals. When the system states are unmeasurable, an output feedback fault‐tolerant control framework is also formed by introducing a new K‐filters with adjustable parameters and constructing appropriate coordinate transformations. Finally, the effectiveness of the proposed fault‐tolerant control algorithms is verified by simulating two system models.

“…The associate editor coordinating the review of this manuscript and approving it for publication was Huai-zhi Wang . the consensus algorithm is the interaction between one controller and another neighboring controller in the same system through the communication link. The distributed agent makes decisions based on the obtained information and its own state in order to achieve the same state for themselves finally [4]. Distributed collaborative control has been extensively researched and applied in many engineering fields, such as automatic generation control [5], unmanned aerial vehicle (UAV) formation flight [6], convergent control of multi-agent [7].…”

Section: Introductionmentioning

confidence: 99%

Research on the Bi-Level Optimization Model of Distribution Network Based on Distributed Cooperative Control

Zhang

et al. 2021

IEEE Access

The uncertainty of high-permeability renewable energy output brings about great challenges to the operation control in distribution network. The traditional control mode has lower reliability, higher calculation and greater communication pressure. It is more difficult to realize the technical requirements of ''plug and play'' of power components. Therefore, a bi-level coordinated control model is proposed for the operation and energy management optimization of active distribution network with multi-microgrid in this paper. The consensus algorithm which exists in the multi-agent system is applied in the upper-level model and the capacity utilization ratio of the different microgrids is set as the consistent variable because the ratio of resistance and reactance is usually larger in distribution network and the interests in the different microgrid entities should be distributed fairly. Moreover, in the lower-level model, the lowest operating cost is the final goal and the model predictive control rolling optimization is utilized to reasonably allocate the output of the equipments in the microgrid according to the changing trend of renewable energy. Thereby the tracking of the upper-level control commands is realized. Finally, the simulations are conducted in the IEEE-33 nodes distribution system connected to a multi-microgrid to verify the feasibility and effectiveness of the proposed method, in which a reference for the optimal operation of higher penetration renewable energy to distribution network is provided.INDEX TERMS Bi-level model, consensus algorithm, distributed control, high-permeability, model predictive control. II. CONTROL STRATEGY OF MULTI-MICROGRID SYSTEM A. DISTRIBUTED COLLABORATIVE CONTROL