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IJCNN
2008
IEEE
14 years 1 months ago
Robust adaptive control via neural linearization and four types of compensation
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Wen Yu, Xiaoou Li
AUTOMATICA
2008
93views more  AUTOMATICA 2008»
13 years 7 months ago
Further results on input-to-state stability for nonlinear systems with delayed feedbacks
We consider a class of nonlinear control systems for which stabilizing feedbacks and corresponding Lyapunov functions for the closed loop systems are available. In the presence of...
Frédéric Mazenc, Michael Malisoff, Z...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 8 days ago
Synthesis of a global asymptotic stabilizing feedback law for a system satisfying two different sector conditions
— Global asymptotic stabilization for a class of nonlinear systems is addressed. The dynamics of these systems are composed of a linear part to which is added some nonlinearities...
Vincent Andrieu, Christophe Prieur, Sophie Tarbour...
AUTOMATICA
2006
118views more  AUTOMATICA 2006»
13 years 7 months ago
Diagonal stability of a class of cyclic systems and its connection with the secant criterion
We consider a class of systems with a cyclic interconnection structure that arises, among other examples, in dynamic models for certain biochemical reactions. We first show that a...
Murat Arcak, Eduardo D. Sontag
CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 2 months ago
A design solution to the problem of adaptive output regulation for nonlinear minimum-phase systems
We propose a solution to the problem of adaptive output regulation for nonlinear minimum-phase systems that does not rely upon conventional adaptation schemes to estimate the frequ...
Alberto Isidori, Lorenzo Marconi, Laurent Praly