Feedback Entropy in Dynamical Systems

Set-membership filtering using random samples

P Hua Leong, GN Nair

2016-08-01

Set-membership filtering aims to determine the set of feasible states when the system dynamics and received measurements are corru..

Structural Routability of n-Pairs Information Networks

GN Nair

2014-01-01

Information does not generally behave like a conservative fluid flow in communication networks with multiple sources and sinks. Ho..

Two extensions of topological feedback entropy

R Hagihara, GN Nair

2013-12-01

Topological feedback entropy (TFE) measures the intrinsic rate at which a continuous, fully observed, deterministic control system..

A nonstochastic information theory for communication and state estimation

GN Nair

2013-06-03

In communications, unknown variables are usually modelled as random variables, and concepts such as independence, entropy and info..

A note on topological feedback entropy and invariance entropy

F Colonius, C Kawan, G Nair

2013-03-25

For discrete-time control systems, notions of entropy for invariance are compared. One is based on feedbacks, and the other one on..

Quantized Control and Data Rate Constraints †

Girish N Nair

2013-01-01

This article briefly describes the topic of quantized control with limited data rates. The focus is on the problem of stabilizing ..

A nonstochastic information theory for feedback

GN Nair

2012-01-01

This paper extends a recently proposed theory of nonstochastic maximin information to study feedback systems with erroneous channe..

A non-stochastic information theory for communication and state estimation over erroneous channels

GN Nair

2011-12-01

In communications, unknown variables are usually modelled as random variables, with concepts such as independence, entropy and inf..

When is n-pairs information a multicommodity flow?

GN Nair

2011-10-26

Information does not generally behave like a flow in communication networks with multiple sources and sinks. However, it is often ..