Optimal State Estimation for Boolean Dynamical Systems Conference Paper

abstract

• A novel state-space signal model is proposed for discrete-time Boolean dynamical systems. State evolution is governed by Boolean functions (i.e., logic gates) plus binary noise. The current system state is observed through an arbitrary function plus observation noise. The optimal recursive MMSE estimator for this model is called the Boolean Kalman filter (BKF), and an efficient algorithm is presented for its exact computation. The BKF is illustrated through an example of optimal context inference for Probabilistic Boolean Networks. 2011 IEEE.

name of conference

• 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

authors

• Braga Neto, Ulisses

published proceedings

• 2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR)

author list (cited authors)

• Braga-Neto, U.

citation count

• 28

complete list of authors

• Braga-Neto, Ulisses

publication date

• January 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers  Journal

keywords

• Boolean Network With Perturbation
• Cod Estimation
• Maximum Liklihood Estimation
• Stochastic Logic Model

Digital Object Identifier (DOI)

• 10.1109/acssc.2011.6190172

International Standard Book Number (ISBN) 13

• 9781467303231

start page

• 1050

end page

• 1054

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Facssc.2011.6190172