This paper establishes a connection between the unknown input observer problem (also known as the exact input-decoupling filtering problem) and the Kalman filtering problem. Such a connection leads to a better understanding of filtering. As a consequence of this, tools for the analysis as well as synthesis of filters can be developed. Moreover, such tools can be utilized to establish performanc...

This research report focuses on the use of unknown input observers for detection and isolation of actuator and effector faults with control reconfiguration in overactuated systems. The proposed approach consists in tuning the observer parameters in order to make the filters decoupled from faults affecting selected groups of actuators or effectors. The control allocation actively uses input redu...

In this paper, we consider the problem of constructing partial state and input observers for linear systems with unknown inputs. Specifically, we develop a design procedure that characterizes the set of all linear functions of the states and inputs that can be reconstructed through a linear observer. Our design procedure directly produces the corresponding observer parameters, and also encompas...

In this study, the problem of master–slave synchronization two different chaotic systems is considered and solved under a novel set assumptions. The mathematical model each them contains unknown, constant parameters. Only single output master system available, only input slave control input. proposed, approach based on active cooperation adaptive observer controller slave. tuning function techn...

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....

Given a continuous-time Linear Parameter-Varying (LPV) system with sampled scheduling parameter and subject to an unknown input, this paper provides—under some Lipschitz assumptions—an exact discretization of extended which translates the sampled-data input estimation problem into discrete-time LPV observer design norm-bounded uncertainties. The bounds developed in process account for inter-sam...

This paper aims at designing observer for single-input-single-output (SISO) linear finite-dimensional systems corrupted by general disturbances. A new observer, referred to as extended dynamics (EDO), is proposed estimate both state and disturbance simultaneously. The only assumption the design that plant with unknown observable. treated combination of high-gain internal model contained in dyna...

Constant power loads have negative impedance characteristics, which reduce the damping of DC/DC converter systems and effects on stability DC microgrid. In this paper, a finite-time parameter observer-based sliding mode controller is proposed for boost with constant loads. Firstly, non-singular terminal sliding-mode designed based flatness differential control theory. Secondly, observer to esti...