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AUTOMATICA
2004
114views more  AUTOMATICA 2004»
14 years 9 months ago
Adaptive control for nonlinear nonnegative dynamical systems
Nonnegative and compartmental models are widespread in engineering systems and life sciences and play a key role in the understanding of these systems. In this paper, we develop a...
Wassim M. Haddad, Tomohisa Hayakawa
RECOMB
2009
Springer
15 years 10 months ago
Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology
The dynamics of biological processes are often modeled as systems of nonlinear ordinary differential equations (ODE). An important feature of nonlinear ODEs is that seemingly minor...
Alexandre Donzé, Gilles Clermont, Axel Lega...
JDCTA
2010
155views more  JDCTA 2010»
14 years 4 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
SOCO
2002
Springer
14 years 9 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
SIGPRO
2008
136views more  SIGPRO 2008»
14 years 9 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...