Sliding Mode Control-Based Autopilots for Leaderless Consensus of Unmanned Aerial Vehicles

The CUSCUS simulator for distributed networked control systems: Architecture and use-cases

“…To update the φ ij (t) according to (5) and (6) do not need any additional message exchange. If robot i and j always take the same action, then the changes they make should be symmetric, i.e., φ ij (t) = -φ ji (t).…”

“…In absence of a centralized controller, the fleet mobility is determined by decisions performed at each UAV, hence consensusbased or distributed coordination protocols are needed to avoid collisions, keep the network connected and achieve the mission-specific goals [5]. At the same time, the communication among nodes is strongly affected by the propagation conditions of the environment, so far that the effect of packet loss must be taken into account in networked robotic architecture design [6] [7].…”

Real-Time HIL Implementation of Sliding Mode Control for Standalone System Based on PV Array Without Using Dumpload

“…Therefore, to verify the stability condition given in (20), the sign of each term in (22) should be verified independently. The product sign of each term will define the overall sign of (22).…”

“…Therefore, extra solutions such as nonsingular TSMC (NTSMC) [16] and uncertainty estimator [17] are required. These methods and their extra solutions have been suggested for specific applications such as mobile robot [18]- [20] or an aircraft control as well electric vehicle control [21], [22]. But for applications, such as control of PV array [23] or control of electrical machines [24], when the chattering is not an issue, SMC is more suitable because it is less complicated and easy to implement in real time.…”

Finite interval tracking algorithm for nonlinear multi-agent systems with communication delays

“…In recent years, the control of multi-agent systems has attracted great attention due to its wide applications in both academic and industry areas, such as flocking Luo, Li, and Guan (2010), cooperative control of unmanned vehicles (Rao & Ghose, 2014;Wang & Ding, 2014;Yang, Naeem, Irwin, & Li, 2014) and formation control of mobile robots (Antonelli, Arrichiello, Caccavale, & Marino, 2014;Wang, Huang, Wen, & Fan, 2014). The tracking problem is an important topic in the study of multiagent systems as stated in Luo et al (2010), Yan, Guan, and Tan (2010), Hong, Hu, and Gao (2006), Jiang, Liu, and Wang (2014).…”