The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 89-446
Full Name: Constantin Volosencu
Position: Professor
Age: ON
Sex: Male
Address: Str. Ranetti nr. 52 ap. 7 Timisoara 300418
Country: ROMANIA
Tel: 0040724369136
Tel prefix:
Fax:
E-mail address: constantin.volosencu@aut.upt.ro
Other E-mails:
Title of the Paper: Algorithms for Estimation in Distributed Parameter Systems Based on Sensor Networks and ANFIS
Authors as they appear in the Paper: Constantin Volosencu
Email addresses of all the authors: constantin.volosencu@aut.upt.ro
Number of paper pages: 13
Abstract: This paper presents some algorithms for estimation of the state variables in distributed parameter systems of parabolic and hyperbolic types. These algorithms are expressed on regression using anterior values of adjacent state variables and on auto-regression using the anterior values of the same variable. The momentary values may be obtained using sensors from a network placed in the field of the distributed parameter systems. The computation of the estimates is done using the adaptive-network-based fuzzy inference scheme. The structure of the ANFIS is derived based on training using measured values obtained form the sensor network. The algorithms and the method of estimation, emerged from three powerful concepts as theory of distributed parameter systems, artificial intelligence, with its tool adaptive-network-based fuzzy inference and the intelligent wireless ad-hoc sensor networks allow treatment of large and complex systems with many variables by learning and !
extrapolation. They have applications in monitoring, fault estimation, detection and diagnosis of large and complex physical processes. The paper presents some case studies as applications of all four algorithms.
Keywords: System identification, Fault detection and diagnosis, Wireless sensor networks, Non-linear system identification, Distributed parameter systems, Adaptive-network-based fuzzy inference, Multivariable estimation techniques, Auto-regression, Non-linear uto-regression exogenous model, Heat distribution, Wave equation, Partial differential equations.
EXTENSION of the file: .pdf
Special (Invited) Session: Fault detection and diagnosis of distributed parameter systems based on sensor networks and artificial intelligence
Organizer of the Session: 640-709
How Did you learn about congress:
IP ADDRESS: 193.226.9.214
