no code implementations • 6 Jan 2024 • Xubin Ping, Konstantin Zimenko, Andrey Polyakov, Denis Efimov
Homogeneous observer for linear multi-input multi-output (MIMO) system is designed.
no code implementations • 27 Mar 2023 • Hemant Tyagi, Denis Efimov
We consider the problem of finite-time identification of linear dynamical systems from $T$ samples of a single trajectory.
no code implementations • 16 Jul 2022 • Konstantin Zimenko, Denis Efimov, Andrey Polyakov
Hyperexponential stability is investigated for dynamical systems with the use of both, explicit and implicit, Lyapunov function methods.
no code implementations • 7 Jul 2022 • Andrey Polyakov, Denis Efimov, Xubin Ping
The paper proposes an algorithm for a discretization (sampled-time implementation) of a homogeneous control preserving the finite-time and nearly fixed-time stability property of the original (sampling-free) system.
no code implementations • 15 Apr 2022 • Wenjie Mei, Denis Efimov, Rosane Ushirobira
This paper studies the trajectory behavior evaluation for generalized Persidskii systems with an essentially bounded input on a finite time interval.
no code implementations • 20 Jul 2020 • Edouard Leurent, Denis Efimov, Odalric-Ambrym Maillard
We consider the problem of stabilization of a linear system, under state and control constraints, and subject to bounded disturbances and unknown parameters in the state matrix.
no code implementations • NeurIPS 2020 • Edouard Leurent, Denis Efimov, Odalric-Ambrym Maillard
We consider the problem of robust and adaptive model predictive control (MPC) of a linear system, with unknown parameters that are learned along the way (adaptive), in a critical setting where failures must be prevented (robust).
no code implementations • 9 Apr 2019 • Edouard Leurent, Denis Efimov, Tarek Raïssi, Wilfrid Perruquetti
The problem of behaviour prediction for linear parameter-varying systems is considered in the interval framework.
Systems and Control
no code implementations • 1 Mar 2019 • Edouard Leurent, Yann Blanco, Denis Efimov, Odalric-Ambrym Maillard
This work studies the design of safe control policies for large-scale non-linear systems operating in uncertain environments.
Systems and Control Robotics