Engang Tian
Nanjing Normal University
122 Papers
857 Citations
Engang Tian is an academic researcher from Nanjing Normal University. The author has contributed to research in topics: Computer science & Linear matrix inequality. The author has an hindex of 37, co-authored 87 publications. Previous affiliations of Engang Tian include Donghua University & Penn State College of Information Sciences and Technology.
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Papers
A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
TL;DR: Simulation results have shown that the proposed event-triggering scheme is superior to some existing event- triggering schemes in the literature.
1.6K
Stabilization of Systems With Probabilistic Interval Input Delays and Its Applications to Networked Control Systems
Dong Yue,Engang Tian,Zidong Wang,James Lam +3 more
- 01 Jul 2009
TL;DR: By making full use of the information concerning the probability distribution of the delays, criteria for the stochastic stability and stabilization controller design are derived.
Quantized Stabilization for T–S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks
TL;DR: This paper examines quantized stabilization for Takagi–Sugeno (T–S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks to guarantee the asymptotical stability of networked control systems by using Lyapunov stability theory and linear matrix inequality techniques.
212
Quantized output feedback control for networked control systems
Engang Tian,Dong Yue,Chen Peng +2 more
TL;DR: Based on a new model and an improved separation lemma, the observer-based controller is developed for the asymptotical stabilization of the NCSs, which are shown in terms of nonlinear matrices inequalities.
191
Delay-dependent robust H∞ control for T--S fuzzy system with interval time-varying delay
Engang Tian,Dong Yue,Yijun Zhang +2 more
TL;DR: New conditions for the existence of robust H"~ controller are obtained based on the parallel distributed compensation (PDC) method in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using the LMI optimization techniques.
186