Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Huifen Hong"'
Autor:
Huifen Hong, He Wang
Publikováno v:
Symmetry, Vol 13, Iss 12, p 2295 (2021)
This paper investigates the fixed-time formation (FixF) control problem for second-order multi-agent systems (MASs), where each agent is subject to disturbance and the communication network is general directed. First, a FixF protocol is presented bas
Externí odkaz:
https://doaj.org/article/f16cfd7f4155483bae1b9ff4388d0b05
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:616-620
Publikováno v:
IEEE Transactions on Cybernetics. 52:13874-13886
This article investigates the distributed time-varying optimization problem for second-order multiagent systems (MASs) under limited interaction ranges. The goal is to seek the minimum of the sum of local time-varying cost functions (CFs), where each
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:3187-3199
This article investigates the distributed average tracking (DAT) problem for disturbed second-order multiagent systems, where a crowd of agents is required to track the average of the multiple time-varying signals. First, a new kind of distributed av
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:1451-1461
Autor:
Brian D. O. Anderson, Huifen Hong
Publikováno v:
IEEE Control Systems Letters. 4:698-703
Distributed fixed-time attitude tracking consensus is investigated in this letter for rigid spacecraft systems, with a directed communication graph containing a single leader which is the root of a directed spanning tree. The evolution of each follow
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:42-52
This paper investigates the distributed convex optimization problem (DCOP) based on continuous-time multiagent systems under a state-dependent graph. The objective is to optimize the sum of local cost functions, each of which is only known by the cor
Publikováno v:
Industrial & Engineering Chemistry Research. 59:4620-4635
Slow feature analysis (SFA) has been extensively adopted for process monitoring. Since the prominent ability of exploring dynamic information of the industrial process, SFA could monitor the proces...
Publikováno v:
2021 International Conference on Neuromorphic Computing (ICNC).
Publikováno v:
2021 International Conference on Control, Automation and Information Sciences (ICCAIS).