Identification of distributed parameter systems based on sensor networks and multivariable estimation techniques

Authors:
Constantin Volosencu
Affiliations:
Department of Automatics and Applied Informatics, "Politehnica" University of Timisoara, Timisoara, Romania
Venue:
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
Year:
2009

Citing 11
Cited 1

Introduction to the theory of neural computation

Introduction to the theory of neural computation
Modeling of dynamic systems

Modeling of dynamic systems
Nonlinear black-box modeling in system identification: a unified overview

Automatica (Journal of IFAC) - Special issue on trends in system identification
System identification (2nd ed.): theory for the user

System identification (2nd ed.): theory for the user
Automatic Mesh Generation: Applications to Finite Element Methods

Automatic Mesh Generation: Applications to Finite Element Methods
Wireless sensor networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
The Art of Modeling in Science and Engineering with Mathematica, Second Edition

The Art of Modeling in Science and Engineering with Mathematica, Second Edition
Identification of distributed parameter systems, based on sensor networks and artificial intelligence

WSEAS TRANSACTIONS on SYSTEMS
Interpolation techniques for spatial distributed system identification using wireless sensor networks

ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
Identification of non-linear systems, based on neural networks, with applications at fuzzy systems

ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
A comparative study for identification of distributed parameter systems using sensor networks and adaptive-network-based fuzzy inference

ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation

Fault detection and diagnosis of distributed parameter systems based on sensor networks and artificial intelligence

ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation

Quantified Score

Hi-index	0.00

Visualization

Abstract

The domain of system identification may be developed today using the powerful tool represented by the intelligent sensor networks, placed in real distributed parameter systems. The sensor networks, as a "distributed sensor", allow the usage of multivariable estimation techniques, in different ways: classical linear methods of modelling or methods based on artificial intelligence for complex non-linear systems. The paper presents a short survey of some results obtained in the study of using of sensor networks with multivariable estimation techniques to estimate heat transfer in space.