WebApr 12, 2024 · The presented adaptive control only uses relative output measurements and the local information of the connection to each subsystem, and hence the proposed control scheme is fully distributed. The contributions of this paper are at least two-fold. WebDec 7, 2024 · Sufficient conditions for a consensus in the form of linear matrix inequalities are given via distributed adaptive control based on parameter-dependent Lyapunov functions. The adaptive control protocols require only the neighbor information of the agents, and the algorithm that designs the protocols reduces the influence of the …
Distributed Adaptive Output Feedback Control for ... - ResearchGate
WebOct 13, 2024 · To track the active leader, a distributed adaptive consensus protocol based on the relative output information with its neighboring agents is proposed for each following agent. To deal with uncertain dynamics, an adaptive learning law is included in the proposed protocol. Web2 days ago · In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system ... fnb namibia investment rates
Distributed adaptive finite-time tracking for multi-agent …
WebApr 12, 2024 · In this paper, we propose a new distributed adaptive control design to solve the consensus output tracking problem for strongly connected nonlinear multi … WebJun 25, 2024 · Distributed Adaptive Attitude Control for Networked Underactuated Flexible Spacecraft Abstract: This paper studies the distributed adaptive control of a team of underactuated flexible spacecraft under a leader-follower architecture with the measurements of the rigid bodies only. WebAug 2, 2024 · First, a distributed framework is proposed for coordinated navigation of a team of aerial robots while collision-free is guaranteed based on NMPC computed within a neighborhood of the robots. Second, a graph-based adaptive formation transform approach activated in obstacle dense area is proposed. The remainder paper is structured as follows. fnb namibia helpline number