Variable Sampling Approach to Mitigate Instability in Networked Control Systems With Delays

Author

Lopez-Echeverria, D. ; Magana, M.E.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA

Volume

23

Issue

1

fYear

2012

Firstpage

119

Lastpage

126

Abstract

This paper analyzes a new alternative approach to compensate for the effects of time delays on a dynamic networked control system (NCS). The approach is based on the use of time-delay-predicted values as the sampling times of the NCS. We use a one-step-ahead prediction algorithm based on an adaptive time delay neural network. The application of pole placement and linear quadratic regulator methods to compute the feedback gains taking into account the estimated time delays is investigated.

Keywords

adaptive control; compensation; delays; feedback; linear quadratic control; networked control systems; neurocontrollers; sampling methods; adaptive time delay neural network; compensation; feedback gain; instability mitigation; linear quadratic regulator method; networked control systems; one-step-ahead prediction algorithm; pole placement method; time delay; variable sampling approach; Actuators; Artificial neural networks; Delay; Delay effects; Neurons; Time frequency analysis; Training; Feedback control; networked control system; neural networks; prediction; time delay;

fLanguage

English

Journal_Title

Neural Networks and Learning Systems, IEEE Transactions on

Publisher

ieee

ISSN

2162-237X

Type

jour

DOI

10.1109/TNNLS.2011.2178445

Filename

6104223