A note on the state space representation of aeroelastic systems for time domain analysis

2021 ◽  
Vol 104 ◽  
pp. 103294
Author(s):  
Douglas D. Bueno ◽  
Earl H. Dowell
Keyword(s):  
State Space ◽  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
The State ◽  
Space Representation ◽  
State Space Representation

Dynamic Analysis of a Torsional MEMS Scanner Mirror: Part 1 — Disturbance Analysis Framework

2005 ◽  
Author(s):  
Faik Can Meral ◽  
Ipek Basdogan
Keyword(s):  
State Space ◽  
Transfer Functions ◽  
State Space Model ◽  
Time Domain Analysis ◽  
The State ◽  
Space Representation ◽  
Modeling And Analysis ◽  
Lyapunov Approach ◽  
State Space Representation ◽  
Disturbance Analysis

Future optical micro systems such as Micro Electro Mechanical Systems (MEMS) scanners and micro-mirrors will extend the resolution and sensitivity offered by their predecessors. These systems face the challenge of achieving nanometer precision subjected to various disturbances. Predicting the performance of such systems early in the design process can significantly impact the design cost and also improve the quality of the design. Our approach aims to predict the performance of such systems under various disturbance sources and develop a generalized design approach for MEMS structures. In this study, we used ANSYS for modeling and analysis of a torsional MEMS scanner mirror. ANSYS modal analysis results, which are eigenvalues (natural frequencies) and eigenvectors (modeshapes), are used to obtain the state space representation of the mirror. The state space model of the scanner mirror was reduced using various reduction techniques to eliminate the states that are insignificant for the transfer functions of interest. The results of these techniques were compared to obtain the best approach to obtain a lower order model that still contains all of the relevant dynamics of the original model. After the model size is reduced significantly, a disturbance analysis is performed using Lyapunov approach to obtain root-mean-square (RMS) values of the mirror rotation angle under the effect of a disturbance torque. The Lyapunov approach results were validated using a time domain analysis.

Time-Domain Hydroelastic Analysis of a Flexible Marine Structure Using State-Space Models

2008 ◽  
Vol 131 (1) ◽  
Author(s):  
Reza Taghipour ◽  
Tristan Perez ◽  
Torgeir Moan
Keyword(s):  
State Space ◽  
Time Domain ◽  
State Space Model ◽  
Space Representation ◽  
Regular Waves ◽  
State Space Representation ◽  
Alternative State ◽  
Marine Structure ◽  
Hydroelastic Analysis ◽  
The Mathematical Model

This article deals with time-domain hydroelastic analysis of a marine structure. The convolution terms associated with fluid memory effects are replaced by an alternative state-space representation, the parameters of which are obtained by using realization theory. The mathematical model established is validated by comparison to experimental results of a very flexible barge. Two types of time-domain simulations are performed: dynamic response of the initially inert structure to incident regular waves and transient response of the structure after it is released from a displaced condition in still water. The accuracy and the efficiency of the simulations based on the state-space model representations are compared to those that integrate the convolutions.

Open-Circuit Fault Identification Method for Interleaved Converters Based on Time-Domain Analysis of the State Observer Residual

2019 ◽  
Vol 34 (4) ◽  
pp. 3740-3749 ◽  
Author(s):  
Nicolas Wassinger ◽  
Emiliano Penovi ◽  
Rogelio Garcia Retegui ◽  
Sebastian Maestri
Keyword(s):  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
State Observer ◽  
Open Circuit ◽  
The State ◽  
Fault Identification ◽  
Identification Method

scholarly journals Shannon Entropy Analysis of the Genome Code

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
J. A. Tenreiro Machado
Keyword(s):  
Dynamical Systems ◽  
State Space ◽  
Shannon Entropy ◽  
Large Volume ◽  
The State ◽  
Space Representation ◽  
Entropy Analysis ◽  
Genomic Information ◽  
State Space Representation

This paper studies the chromosome information of twenty five species, namely, mammals, fishes, birds, insects, nematodes, fungus, and one plant. A quantifying scheme inspired in the state space representation of dynamical systems is formulated. Based on this algorithm, the information of each chromosome is converted into a bidimensional distribution. The plots are then analyzed and characterized by means of Shannon entropy. The large volume of information is integrated by averaging the lengths and entropy quantities of each species. The results can be easily visualized revealing quantitative global genomic information.

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