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CCE
2007
13 years 4 months ago
A multiple model, state feedback strategy for robust control of non-linear processes
In order to achieve global stability using well-established linear control theory and techniques, a multiple model approach has attracted increased attention in recent years. In o...
F. Y. Wang, Parisa A. Bahri, Peter L. Lee, I. T. C...
NIPS
1993
13 years 6 months ago
Mixtures of Controllers for Jump Linear and Non-Linear Plants
We describe an extension to the Mixture of Experts architecture for modelling and controlling dynamical systems which exhibit multiple modesof behavior. This extension is based on...
Timothy W. Cacciatore, Steven J. Nowlan
SOCO
2002
Springer
13 years 4 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
ISCI
2010
128views more  ISCI 2010»
13 years 3 months ago
Robust static output feedback controller synthesis using Kharitonov's theorem and evolutionary algorithms
This paper presents a simple but effective tuning strategy for robust static output feedback (SOF) controllers with minimal quadratic cost in the context of multiple parametric un...
Rosario Toscano, Patrick Lyonnet
DAC
2008
ACM
14 years 5 months ago
Variation-adaptive feedback control for networks-on-chip with multiple clock domains
This paper discusses the use of networks-on-chip (NoCs) consisting of multiple voltage-frequency islands to cope with power consumption, clock distribution and parameter variation...
Ümit Y. Ogras, Diana Marculescu, Radu Marcule...