Probabilistic analysis of dynamic stability for a rotating BDFG tapered beam with time-varying velocity and stochastic parameters

2021 ◽  
Author(s):  
Yanxun Zhou ◽  
Yimin Zhang ◽  
Guo Yao
Keyword(s):  
Dynamic Stability ◽  
Probabilistic Analysis ◽  
Time Varying ◽  
Tapered Beam ◽  
Stochastic Parameters

scholarly journals Dynamic Stability Analysis of Periodically Time-Varying Rotor System with a Transverse Crack

Engineering ◽  
2011 ◽  
Vol 03 (07) ◽  
pp. 719-725 ◽  
Author(s):  
Costin D. Untaroiu ◽  
Alexandrina Untaroiu ◽  
Mihail Boiangiu
Keyword(s):  
Stability Analysis ◽  
Dynamic Stability ◽  
Transverse Crack ◽  
Rotor System ◽  
Time Varying

Probabilistic analysis of dynamic stability for milling process

2016 ◽  
Vol 86 (3) ◽  
pp. 2105-2114 ◽  
Author(s):  
Xianzhen Huang ◽  
Yimin Zhang ◽  
Chunmei Lv
Keyword(s):  
Dynamic Stability ◽  
Probabilistic Analysis ◽  
Milling Process

scholarly journals Finite-Horizon H-Infinity Control for Time-Varying State-Saturated Systems under Stochastic Communication Protocol

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Kewang Huang ◽  
Feng Pan
Keyword(s):  
Model Transformation ◽  
Controller Design ◽  
Communication Protocol ◽  
Finite Horizon ◽  
Time Varying ◽  
Transformation Technique ◽  
H Infinity ◽  
Stochastic Parameters ◽  
H Infinity Control ◽  
Data Collision

In this paper, the H∞ control problem is investigated for a class of time-varying state-saturated systems with both stochastic parameters and nonlinearities under the stochastic communication protocol (SCP). The sensor-to-controller network is considered where only one sensor can obtain access to the communication network at each transmission instant. The SCP is adopted to mitigate the undesirable data collision phenomenon. The model transformation technique is employed to simplify the addressed problem, and then, the completing squares method is carried out to obtain a sufficient condition for the existence of the finite-horizon H∞ controller. The controller parameters are characterized by solving two coupled backward recursive Riccati-like difference equations. A simulation example is finally utilized to illustrate the effectiveness of the proposed controller design scheme.

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