activity
20202023
most citedRobust exact differentiators with predefined convergence time

89 citations · 264 across the 15 of their papers we have counts for

collaborators
Showing eess.SYShow all

12 papers · 1 filter

eess.SY2023★ 16 cited

Worst-case error bounds for the super-twisting differentiator in presence of measurement noise

Richard Seeber

The super-twisting differentiator, also known as the first-order robust exact differentiator, is a well known sliding mode differentiator. In the absence of measurement noise, it a…

eess.SY2023★ 16 cited

Generalized Filippov solutions for systems with prescribed-time convergence

Richard Seeber

Dynamical systems with prescribed-time convergence sometimes feature a right-hand side exhibiting a singularity at the prescribed convergence time instant. In an open neighborhood…

eess.SY2022

Implementing prescribed-time convergent control: sampling and robustness

Hernan Haimovich, Rodrigo Aldana-Lopez, Richard Seeber +1

According to recent results, convergence in a prespecified or prescribed finite time can be achieved under extreme model uncertainty if control is applied continuously over time. T…

eess.SY2022★ 42 cited

On inherent limitations in robustness and performance for a class of prescribed-time algorithms

Rodrigo Aldana-López, Richard Seeber, Hernan Haimovich +1

Prescribed-time algorithms based on time-varying gains may have remarkable properties, such as regulation in a user-prescribed finite time that is the same for every nonzero initia…

eess.SY2021

Unknown Input Observer Design for Linear Time-Invariant Systems -- A Unifying Framework

Markus Tranninger, Helmut Niederwieser, Richard Seeber +1

This paper presents a new observer design approach for linear time invariant multivariable systems subject to unknown inputs. The design is based on a transformation to the so-call…

eess.SY2021★ 9 cited

Integral state-feedback control of linear time-varying systems: A performance preserving approach

Richard Seeber, Markus Tranninger

An integral extension of state-feedback controllers for linear time-varying plants is proposed, which preserves performance of the nominal controller in the unperturbed case. Simil…

eess.SY2021★ 18 cited

Optimal Robust Exact Differentiation via Linear Adaptive Techniques

Richard Seeber, Hernan Haimovich

The problem of differentiating a function with bounded second derivative in the presence of bounded measurement noise is considered in both continuous-time and sampled-data setting…

eess.SY2021★ 18 cited

Higher-order sliding mode observer design for linear time-invariant multivariable systems based on a new observer normal form

Helmut Niederwieser, Markus Tranninger, Richard Seeber +1

In various applications in the field of control engineering the estimation of the state variables of dynamic systems in the presence of unknown inputs plays an important role. Exis…

eess.SY2021★ 4 cited

Detectability Conditions and State Estimation for Linear Time-Varying and Nonlinear Systems

Markus Tranninger, Richard Seeber, Martin Steinberger +2

This work proposes a detectability condition for linear time-varying systems based on the exponential dichotomy spectrum. The condition guarantees the existence of an observer, who…

eess.SY2021

Strong Detectability and Observers for Linear Time Varying Systems

Markus Tranninger, Richard Seeber, Juan G. Rueda-Escobedo +1

This work presents a notion of strong detectability for linear time varying systems affected by unknown inputs. It is shown that this notion is equivalent to detectability of an au…

eess.SY2020★ 89 cited

Robust exact differentiators with predefined convergence time

Richard Seeber, Hernan Haimovich, Martin Horn +2

The problem of exactly differentiating a signal with bounded second derivative is considered. A class of differentiators is proposed, which converge to the derivative of such a sig…

eess.SY2020★ 5 cited

Uniform Detectability of Linear Time Varying Systems with Exponential Dichotomy

Markus Tranninger, Richard Seeber, Martin Steinberger +1

Exponential dichotomies play a central role in stability theory for dynamical systems. They allow to split the state space into two subspaces, where all trajectories in one subspac…