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20022026
most citedSemi-passivity and synchronization of diffusively coupled neuronal oscillators

141 citations · 1.2k across the 53 of their papers we have counts for

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8 papers · 1 filter

math.OC2014★ 2 cited

Adaptive observers for nonlinearly parameterized systems subjected to parametric constraints

I. Yu. Tyukin, P. A. Rogachev, H. Nijmeijer

We consider the problem of adaptive observer design in the settings when the system is allowed to be nonlinear in the parameters, and furthermore they are to satisfy additional fea…

math.OC2009★ 100 cited

Adaptive Observers and Parameter Estimation for a Class of Systems Nonlinear in the Parameters

Ivan Y. Tyukin, Erik Steur, Henk Nijmeijer +1

We consider the problem of asymptotic reconstruction of the state and parameter values in systems of ordinary differential equations. A solution to this problem is proposed for a c…

math.OC2007★ 2 cited

Adaptive classification of temporal signals in fixed-weights recurrent neural networks: an existence proof

Ivan Tyukin, Danil Prokhorov, Cees van Leeuwen

We address the important theoretical question why a recurrent neural network with fixed weights can adaptively classify time-varied signals in the presence of additive noise and pa…

math.OC2006

Decentralized adaptation in interconnected uncertain systems with nonlinear parametrization

Ivan Tyukin, Cees van Leeuwen

We propose a technique for the design and analysis of decentralized adaptation algorithms in interconnected dynamical systems. Our technique does not require Lyapunov stability of…

math.OC2005

Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization

Tyukin Ivan, Danil Prokhorov, Cees van Leeuwen

We propose a technique for the design and analysis of adaptation algorithms in dynamical systems. The technique applies both to systems with conventional Lyapunov-stable target dyn…

math.OC2004

Adaptation and nonlinear parametrization: nonlinear dynamics prospective

Ivan Tyukin, Cees van Leeuwen

We consider adaptive control problem in presence of nonlinear parametrization of uncertainties in the model. It is shown that despite traditional approaches require for domination…