A survey of interval observers design methods and implementation for uncertain systems
The goal of the interval observers is to deal with the large but bounded uncertainties and
disturbances by determining certain interval (upper and lower estimates) for the system …
disturbances by determining certain interval (upper and lower estimates) for the system …
Design and applications of interval observers for uncertain dynamical systems
Interval observer design and related techniques have been researched and applied in many
engineering fields and continue to be an active research area in the estimation and control …
engineering fields and continue to be an active research area in the estimation and control …
Fault detection for Lipschitz nonlinear systems with restricted frequency-domain specifications
This article deals with the problem of fault detection for discrete-time Lipschitz nonlinear
systems subject to a class of restricted frequency-domain specifications. We present a novel …
systems subject to a class of restricted frequency-domain specifications. We present a novel …
Iterative proportional-integral interval estimation of linear discrete-time systems
An iterative proportional-integral interval estimation strategy for linear discrete-time systems
is investigated in this article. A sequence iterative proportional-integral observer is built on …
is investigated in this article. A sequence iterative proportional-integral observer is built on …
Interval observer design method for asynchronous switched systems
J Huang, X Ma, X Zhao, H Che… - IET Control Theory & …, 2020 - Wiley Online Library
When designing interval observers for switched systems, for simplicity, it is always assumed
that the switching signal of interval observers is synchronised with one of subsystems …
that the switching signal of interval observers is synchronised with one of subsystems …
Iterative interval estimation-based fault detection for discrete time T–S fuzzy systems
This article investigates fault detection (FD) for discrete-time T–S fuzzy systems via an
iterative interval estimation method. By means of system output and the iterative estimation …
iterative interval estimation method. By means of system output and the iterative estimation …
Functional interval observer for discrete-time systems with disturbances
H Che, J Huang, X Zhao, X Ma, N Xu - Applied Mathematics and …, 2020 - Elsevier
This paper further investigates the design problem of the functional interval observer for
discrete-time systems with disturbances. Two methods are given to design functional interval …
discrete-time systems with disturbances. Two methods are given to design functional interval …
Interval estimation based on the reduced-order observer and peak-to-peak analysis
An interval estimation method based on the reduced-order observer and peak-to-peak
analysis is proposed for continuous-time linear time-invariant systems with disturbance and …
analysis is proposed for continuous-time linear time-invariant systems with disturbance and …
Zonotopic filtering for uncertain nonlinear systems: Fundamentals, implementation aspects, and extensions [applications of control]
AA de Paula, GV Raffo… - IEEE Control Systems …, 2022 - ieeexplore.ieee.org
This tutorial provides a comprehensive perspective on the study of zonotopic filtering for
nonlinear uncertain dynamical systems. Unlike stochastic methods that characterize the …
nonlinear uncertain dynamical systems. Unlike stochastic methods that characterize the …
A novel unknown input interval observer for systems not satisfying relative degree condition
In this article, a novel unknown input interval observer (UIIO) is proposed for systems not
satisfying the relative degree condition. In interval estimation, estimation errors are required …
satisfying the relative degree condition. In interval estimation, estimation errors are required …