J
Jie Chen
Researcher at Beihang University
Publications - 487
Citations - 12669
Jie Chen is an academic researcher from Beihang University. The author has contributed to research in topics: Synthetic aperture radar & Linear system. The author has an hindex of 44, co-authored 453 publications receiving 10931 citations. Previous affiliations of Jie Chen include South China University of Technology & Northeastern University.
Papers
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Journal ArticleDOI
Optimal tracking performance for SIMO systems
TL;DR: These results characterize how nonsquare plants may pose additional difficulties for tracking, other than those resulted from nonminimum phase zeros and unstable poles.
Proceedings ArticleDOI
Consensus of second-order heterogeneous multi-agent systems under a directed graph
TL;DR: An adaptive σ-modification scheme for the gain adaption is proposed, which renders smaller control gains and thus requires smaller amplitude on the control input without sacrificing the consensus convergence.
Proceedings ArticleDOI
Asymptotic stability independent of delays: simple necessary and sufficient conditions
Jie Chen,Haniph A. Latchman +1 more
TL;DR: In this paper, the authors consider stability properties of linear time-invariant delay systems with both commensurate and non-commensurate delays and present necessary and sufficient conditions for each case, and demonstrate how these conditions may be extended to study asymptotic stability independent of delays for uncertain systems.
Proceedings ArticleDOI
Optimal tracking performance of discrete-time systems over an additive white noise channel
TL;DR: It is shown explicitly herein that the tracking performance will be additionally constrained by the plant unstable poles, as a consequence of noisy, power-constrained channels in the feedback loop.
Journal ArticleDOI
A Novel MTJ-Based Non-Volatile Ternary Content-Addressable Memory for High-Speed, Low-Power, and High-Reliable Search Operation
TL;DR: A novel MTJ-based NV-TCAM cell, which is composed of 15 transistors and 4 MTJs (15T-4MTJ), which can achieve ultra-low power consumption and significantly improve the search reliability by utilizing the differential MTJs with complementary states and positive feedback of cross-coupled inverters for sensing.