Zobrazeno 1 - 10
of 94
pro vyhledávání: ''
Publikováno v:
CDC
2020 59th IEEE Conference on Decision and Control (CDC), 2436-2441
STARTPAGE=2436;ENDPAGE=2441;TITLE=2020 59th IEEE Conference on Decision and Control (CDC)
2020 59th IEEE Conference on Decision and Control (CDC), 2436-2441
STARTPAGE=2436;ENDPAGE=2441;TITLE=2020 59th IEEE Conference on Decision and Control (CDC)
This paper considers the problem of learning control laws for nonlinear polynomial systems directly from the data, which are input-output measurements collected in an experiment over a finite time period. Without explicitly identifying the system dyn
Autor:
Andrey Polyakov, Sergiy Zhuk
Publikováno v:
CDC
IEEE Conference on Decision and Control
IEEE Conference on Decision and Control, Dec 2020, Jesu Island, South Korea
IEEE Conference on Decision and Control
IEEE Conference on Decision and Control, Dec 2020, Jesu Island, South Korea
International audience; The paper proposes a new homogeneous observer for finite-dimensional projections of quadratic homogeneous hyperbolic PDEs with compact state space. The design relies upon new sufficient conditions for fixed-time convergence of
Autor:
Pavlo Mykhaylov, Mykola Nechyporuk, Roman Chekhmestruk, Alexandr Romanyuk, Oksana V. Romanyuk, Sergey Vyatkin
Publikováno v:
ACIT
free-form patches based on analytical perturbation functions are considered. Free forms based on analytical perturbation functions have the advantage of spline representation of surfaces-a high degree of smoothness of the free form with a small numbe
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
In stochastic differential systems, impulsive effects play an important role. By using the Lyapunov function and the Razumikhin technique, this paper investigates the mean-square exponential stability of linear time-delay stochastic systems with impu
Autor:
Frederic Mazenc
Publikováno v:
ICSTCC
Continuous-time systems with discrete measurements are considered. It is shown that the technique of [7] can be used to design converging observers in the case where the size of some intervals between 2 measurements is larger than the upper bound ens
Publikováno v:
Allerton
Allerton 2019-57th Annual Allerton Conference on Communication, Control, and Computing
Allerton 2019-57th Annual Allerton Conference on Communication, Control, and Computing, Sep 2019, Monticello, United States. pp.208-214, ⟨10.1109/ALLERTON.2019.8919798⟩
Allerton 2019-57th Annual Allerton Conference on Communication, Control, and Computing
Allerton 2019-57th Annual Allerton Conference on Communication, Control, and Computing, Sep 2019, Monticello, United States. pp.208-214, ⟨10.1109/ALLERTON.2019.8919798⟩
In this article, we analyze the limiting eigen-value distribution (LED) of random geometric graphs (RGGs). The RGG is constructed by uniformly distributing n nodes on the d-dimensional torus $\Gamma^{d}\equiv [0, 1]^{d}$ and connecting two nodes if t
Publikováno v:
Allerton
There has been much recent interest in hierarchies of progressively stronger convexifications of polynomial optimisation problems (POP). These often converge to the global optimum of the POP, asymptotically, but prove challenging to solve beyond the
Autor:
Zhibin Du
Publikováno v:
IEEE Access, Vol 6, Pp 74931-74939 (2018)
Cographs is a well-known class of graphs in graph theory, which can be generated from a single vertex by applying a series of complement (or equivalently join operations) and disjoint union operations. The distance spectrum of graphs is a rather acti
Autor:
Davood Rezaei, Mohammad Saleh Tavazoei
Publikováno v:
2019 27th Iranian Conference on Electrical Engineering (ICEE).
In this paper, an oscillatory condition is obtained for fractional order relay feedback systems. This condition is derived by time domain representation of the response of the fractional order relay feedback system on the basis of the Mittag-Leffler
Autor:
Salar Fattahi, Somayeh Sojoudi
Publikováno v:
CDC
Given a linear multivariate regression problem with a block sparsity structure on the regression matrix, one popular approach for estimating its unknown parameter is block-regularization, where the sparsity of different blocks of the regression matri