Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Soumitri N. Kolavennu"'
Publikováno v:
Journal of Process Control. 13:623-631
In this paper, a robust nonlinear controller is designed in the Input/Output (I/O) linearization framework, for non-square multivariable nonlinear systems that have more inputs than outputs and are subject to parametric uncertainty. A nonlinear state
Publikováno v:
Chemical Engineering Science. 56:4339-4349
Input/output (I/O) linearization via state feedback provides a convenient framework for designing controllers for multivariable nonlinear systems. However this approach does not account for parametric uncertainty which may lead to loss of stability a
Publikováno v:
IFAC Proceedings Volumes. 34:77-82
In this paper, a nonlinear controller is designed in the Input/Output (I/O) linearization framework, for non-square multivariable nonlinear systems that are subject to parametric uncertainty. A non linear state feedback is synthesized that approximat
Autor:
Soumitri N. Kolavennu, Steve D. Huseth
Publikováno v:
Wireless Networking Based Control ISBN: 9781441973924
Within wireless sensor networks, the location of the sensor can be a critical attribute of the data sensed. A device knowing its relative position to the other devices in the wireless network or its absolute position with respect to a map increases t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f01659ffdba2dadfb7ce2fb7531cff7
https://doi.org/10.1007/978-1-4419-7393-1_7
https://doi.org/10.1007/978-1-4419-7393-1_7
Publikováno v:
Volume 3: 6th Design for Manufacturing Conference.
The processing of composite materials has advanced from being a fine art to a well-studied science. The Advanced Materials Intelligent Processing Center (AMIPC) program demonstrates the use of process models, advanced technologies and data-centric al
Publikováno v:
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).
Input/output linearization via state feedback provides a convenient framework for designing controllers for multivariable nonlinear systems. However, in the presence of parametric uncertainty, this approach leads to inexact linearization as well as l
Autor:
Karl Steiner, Sanjay Parthasarathy, Suresh Advani, Anoop K. Mathur, Wendy Foslien Graber, Soumitri N. Kolavennu, Simon Bickerton, Roderic C. Don, Hai D. Pham, Ercument Murat Sozer
Publikováno v:
Handbook of Composites ISBN: 9780412540202
A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::303e353826c649c16717cdb612c14e24
https://doi.org/10.1007/978-1-4615-6389-1_21
https://doi.org/10.1007/978-1-4615-6389-1_21