Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Junkang-Ni"'
Publikováno v:
Information Sciences. 634:271-289
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:5286-5299
Publikováno v:
IEEE Transactions on Cybernetics. 52:6391-6405
This article investigates the problem of fixed-time event-triggered output consensus tracking for high-order multiagent systems (MASs) under directed interaction graphs. First, a fixed-time event-triggered distributed observer and triggering function
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:1319-1334
Fixed-time leader-follower quantized output consensus of high-order multi-agent systems over digraph
Publikováno v:
Information Sciences. 587:408-434
Autor:
Junkang Ni, Peng Shi
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:7903-7918
This article proposes a global adaptive neural network tracking control method for uncertain strict-feedback nonlinear system with output constraint and dead zone to achieve predefined-time convergence of the tracking error to predefined accuracy. Fi
Publikováno v:
ISA Transactions. 116:30-45
An integrated control scheme composed of modified nonlinear disturbance observer and predefined-time prescribed performance control is proposed to address the high-accuracy tracking problem of the unmanned aerial vehicles (UAVs) subjected to external
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:5865-5889
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:2488-2500
This paper considers fixed-time consensus tracking of second-order multiagent systems (MASs) under directed interaction topology. A novel distributed observer is presented to estimate the leader’s states within a fixed time, which overcomes the dif
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51:2550-2560
In this paper, the predefined-time consensus tracking problem of second-order multiagent systems (MASs) is investigated. A distributed observer is presented to estimate the tracking error for each follower within predefined time. A novel sliding surf