Zobrazeno 1 - 10
of 484
pro vyhledávání: '"A. P. Lastochkin"'
In this paper we consider trajectory tracking problem for robotic systems affected by unknown external perturbations. Considering possible solutions, we restrict our attention to composite adaptation, which, particularly, ensures parametric error con
Externí odkaz:
http://arxiv.org/abs/2406.19838
A new adaptive observer is proposed for a certain class of nonlinear systems with bounded unknown input and parametric uncertainty. Unlike most existing solutions, the proposed approach ensures asymptotic convergence of the unknown parameters, state
Externí odkaz:
http://arxiv.org/abs/2403.13664
In the adaptive control theory, the dynamic regressor extension and mixing (DREM) procedure has become widespread as it allows one to describe a variety of adaptive control problems in unified terms of the parameter estimation problem of a regression
Externí odkaz:
http://arxiv.org/abs/2403.11076
Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear/nonlinear systems parameters only if the external perturbations are equaled to zero or independen
Externí odkaz:
http://arxiv.org/abs/2312.15631
Most identification laws of unknown parameters of linear regression equations (LRE) ensure only boundedness of a parametric error in the presence of additive perturbations, which is almost always unacceptable for practical scenarios. In this paper, a
Externí odkaz:
http://arxiv.org/abs/2310.14073
The problem of state reconstruction is considered for uncertain linear time-invariant systems with overparameterization, arbitrary state-space matrices and unknown additive perturbation described by an exosystem. A novel adaptive observer is proposed
Externí odkaz:
http://arxiv.org/abs/2308.10289
The scope of this study is to develop a novel sensorless adaptive vibration suppression controller for two-mass systems with joint estimation of states and controller parameters. Unlike existing solutions, we simultaneously: (i) propose an analytical
Externí odkaz:
http://arxiv.org/abs/2303.13054
Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization
We consider a class of uncertain linear time-invariant overparametrized systems affected by bounded disturbances, which are described by a known exosystem with unknown initial conditions. For such systems an exponentially stable extended adaptive obs
Externí odkaz:
http://arxiv.org/abs/2302.13705
An adaptive state observer is proposed for a class of overparametrized uncertain linear time-invariant systems without restrictive requirement of their representation in the observer canonical form. It evolves the method of generalized parameters est
Externí odkaz:
http://arxiv.org/abs/2301.07342
Exponentially stable extended adaptive observer is proposed for a class of linear time-invariant systems with unknown parameters and overparameterization. It allows one to reconstruct unmeasured states and bounded external disturbance produced by a k
Externí odkaz:
http://arxiv.org/abs/2301.06169