Preview

Advanced Engineering Research (Rostov-on-Don)

Advanced search

MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS

Abstract

In the present paper the problem of non-observable (hidden) random autoregression process control based on the criteria of minimal dispersion of dynamical ratio value between an observable autoregression processes with hidden random process-dependent behavior is researched.

A sequence of controlled parameters is calculated for the specific case of problem. An approach reducing the calculation complexity of control parameter is found.

About the Author

D. LEDNOV

Russian Federation


References

1. Kalman R.E. A New Approach to Linear Filtering and Prediction Problems// Transaction of the ASME-Jornal of Basic Engineering. – 1960. 82 (Series D): 35-45.

2. Панков А.Р., Миллер Г.Б. Минимаксная линейная рекуррентная фильтрация неопределенно-стохастических последовательностей по интегральному критерию// Информационные процессы. – 2001. – Т.1. - №2. – С.150-166

3. Agranovsky A.V. Lednov D.A. A model of controlled hidden linear autoregression processes for speakers identification// International Workshop ‘’SPEECH AND COMPUTER’’ (SPECOM). – 2005. – V2. – P.571-573.


Review

For citations:


LEDNOV D. MODEL OF OPTIMAL REGULATION OF NON-OBSERVABLE (HIDDEN) RANDOM PROCESS. Vestnik of Don State Technical University. 2006;6(2):125-133. (In Russ.)

Views: 331


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2687-1653 (Online)