Finite– and fixed–time observers for uncertain multiple–outputs linear systems with unknown inputs
نویسندگان
چکیده
In this paper a family of homogeneity–based observers is proposed to estimate the state class multiple–outputs linear systems with some parametric uncertainties and unknown inputs. Such possesses robustness, finite– fixed–time convergence properties depending on considered The structure these simple since requires neither additional observers, for an priori stabilization, nor complex transformations, allows us straightforwardly apply case multiple–outputs. based relative degree sufficient conditions that imply strong observability system. Some simulation results illustrate performance homogeneous observers.
منابع مشابه
Functional Observers for Linear Systems with Unknown Inputs
In this paper, a straightforward approach is presented to design functional observers for linear systems with unknown inputs. Necessary and sufficient conditions are provided for the existence of the observers. Some illustrated examples are included.
متن کاملFull-order observers for linear systems with unknown inputs
This paper presents a simple method to design a full-order observer for linear systems with unknown inputs. The necessary and sufficient conditions for the existence of the observer are given.
متن کاملDesign of linear functional observers for linear systems with unknown inputs
In this paper, a straightforward approach is presented to design functional observers for linear systems with unknown inputs. Necessary and sufficient conditions are provided for the existence of the observers. Some illustrated examples are included.
متن کاملFault Detection Observers for Systems with Unknown Inputs
Many approaches for the design of unknown input observers were developed to estimate the state of a linear time-invariant dynamical system driven by both known and unknown inputs. These observers are often used for component failure detection, for instrument fault detection in systems subject to plant parameter variations or uncertainties and for fault detection and isolation for systems subjec...
متن کاملAdaptive observers for TS fuzzy systems with unknown polynomial inputs
A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy models, with linear or affine consequents. However, in practical applications, the process under consideration may be affected by unknown inputs, such as disturbances, faults or unmodeled dynamics. In this paper, we consider the problem of simultaneously estimating the state and unknown inputs in TS systems....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Robust and Nonlinear Control
سال: 2023
ISSN: ['1049-8923', '1099-1239']
DOI: https://doi.org/10.1002/rnc.6575