In the note, a generalized disturbance observer capable of estimating higher order
disturbances in the time series expansion is newly proposed. Initiated from a constant …

The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …

In the paper, an output-based disturbance observer of reduced order is presented for a class
of discrete-time linear systems. First, a general form of a disturbance observer is proposed …

We consider a novel method to design H∞ observers for a class of uncertain nonlinear
systems subject to unknown inputs. First, the main system dynamics are rewritten as an …

This paper considers discrete-time input reconstruction and state estimation assuming that
the system has no invariant zeros, without assuming that the initial condition is known, and …

This paper deals with the design of a robust fault detection observer for a Takagi-Sugeno
(TS) fuzzy model affected by sensor and actuator faults and unknown bounded disturbances …

Real-time numerical differentiation plays a crucial role in many digital control algorithms,
such as PID control, which requires numerical differentiation to implement derivative action …

Multiple models are recognised by their abilities to accurately describe nonlinear dynamic
behaviours of a wide variety of nonlinear systems with a tractable model in control …

The goal of state and input estimation is to simultaneously estimate both the unmeasured
states and unknown input. Although this problem has been widely studied, existing …

An active sensor fault tolerant controller for nonlinear systems represented by a decoupled
multimodel is proposed. Active fault tolerant control requires accurate fault estimation. Thus …