Characterization of a complementary sensitivity property in feedback control: An information theoretic approach

Automatica ◽  
2009 ◽  
Vol 45 (2) ◽  
pp. 504-509 ◽  
Author(s):  
Kunihisa Okano ◽  
Shinji Hara ◽  
Hideaki Ishii
Keyword(s):  
Feedback Control ◽  
Theoretic Approach ◽  
Information Theoretic ◽  
Information Theoretic Approach

scholarly journals Quantitative Characterization of Complex Systems—An Information Theoretic Approach

2021 ◽  
Vol 4 (4) ◽  
pp. 99
Author(s):  
Aditya Akundi ◽  
Eric Smith
Keyword(s):  
Information Theory ◽  
Complex Systems ◽  
Theoretic Approach ◽  
Systems Of Systems ◽  
Information Theoretic ◽  
Theoretical Approaches ◽  
The Social ◽  
Information Theoretic Approach

A significant increase in System-of-Systems (SoS) is currently observed in the social and technical domains. As a result of the increasing number of constituent system components, Systems of Systems are becoming larger and more complex. Recent research efforts have highlighted the importance of identifying innovative statistical and theoretical approaches for analyzing complex systems to better understand how they work. This paper portrays the use of an agnostic two-stage examination structure for complex systems aimed towards developing an information theory-based approach to analyze complex technical and socio-technical systems. Towards the goal of characterizing system complexity with information entropy, work was carried out in exploring the potential application of entropy to a simulated case study to illustrate its applicability and to establish the use of information theory within the broad horizon of complex systems. Although previous efforts have been made to use entropy for understanding complexity, this paper provides a basic foundation for identifying a framework to characterize complexity, in order to analyze and assess complex systems in different operational domains.

scholarly journals Typical Yet Unlikely: An Information Theoretic Approach to the Quantification of 'Normality'

2021 ◽  
Author(s):  
Matthew J Vowels
Keyword(s):  
Dimensional Space ◽  
Mean Value ◽  
Theoretic Approach ◽  
Real World Data ◽  
Information Theoretic ◽  
Arithmetic Average ◽  
The Mean ◽  
Information Theoretic Approach ◽  
Complex Phenomena

Normality has historically been considered an aspirational trait, synonymous with harmony and ideality. The arithmetic average has been used to define normality, and is often used both productively and unproductively as a blunt way to characterize samples and populations. A number of prior commentaries in the fields of psychology and social science have highlighted the need for caution when reducing complex phenomena to a single mean value. However, to the best of our knowledge, none have described and explained why the mean provides such a poor characterization of normality. We demonstrate that even for datasets with a relatively low number of dimensions (<10), data start to exhibit a number of peculiarities which become progressively severe as the number of dimensions increases. One such peculiarity is that the mean is both the most likely as well as one of the least typical points in multi-dimensional space. The availability of large, multi-dimensional datasets is increasing, and it is therefore especially important that researchers understand the peculiar characteristics of such data. We show that normality can be better characterized with `typicality', an information theoretic concept relating to the entropy of a distribution. An application of typicality to both synthetic and real-world data reveals that in multi-dimensional space, to be normal is actually to be highly atypical.

SPCp1-01: Voice Activity Detection for VoIP-An Information Theoretic Approach

2006 ◽  
Author(s):  
R. V. Prasad ◽  
R. Muralishankar ◽  
S. Vijay ◽  
H. N. Shankar ◽  
Przemyslaw Pawelczak ◽  
...  
Keyword(s):  
Voice Activity Detection ◽  
Theoretic Approach ◽  
Activity Detection ◽  
Information Theoretic ◽  
Information Theoretic Approach ◽  
Voice Activity
Sign in / Sign up

Export Citation Format

Share Document