L
Long Wang
Researcher at Peking University
Publications - 881
Citations - 35407
Long Wang is an academic researcher from Peking University. The author has contributed to research in topics: Linear system & Population. The author has an hindex of 84, co-authored 835 publications receiving 30926 citations. Previous affiliations of Long Wang include Chinese Academy of Sciences & Tsinghua University.
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A comparative study of musical navigation methods for visually impaired users of GUI systems
TL;DR: To compare the performance of musical stimuli with different constructions for transmitting positional information of auditory cursors to visually impaired users, four different types of earcons including sequence of notes (SE), regrouped sequence of note (R-SE), quadrant (QU), and decimal digit (DE) were studied.
Proceedings ArticleDOI
A wearable capacitive sensing system with phase-dependent classifier for locomotion mode recognition
TL;DR: A capacitance based sensing system for recognizing human locomotion modes and the combination of capacitive sensing approach and phase-dependent classification method achieves satisfactory recognition results.
Proceedings ArticleDOI
Absolute stability and guaranteed domain of attraction for MIMO discrete-time Lur'e systems
TL;DR: In this article, the problem of absolute stability with a guaranteed domain of attraction is studied for a class of MIMO discrete-time Lur'e systems with local sector nonlinearities by means of piecewise-linear Lyapunov functions along with mixed monotone decomposition of the systems.
Posted Content
Social power evolution in influence networks with stubborn individuals
TL;DR: It is proved that for the models with stubbornness, autocracy can never be achieved, while democracy can be achieved under any network topology.
Proceedings ArticleDOI
Performance optimization and coordinated control of multiple biomimetic robotic fish
TL;DR: A novel behavior-selection mechanism is proposed to harmonize the behaviors of the robotic fish and prove to be more effective and feasible compared with tabu search algorithm.