This work proposes a proportional-integral fault estimation observer for nonlinear systems
by means of convex structures. Unlike the traditional approaches that consider quadratic …

Since the advent of linear matrix inequality (LMI) theory and toolboxes in the early nineties,
many problems in control which did not have an explicit analytical solution can be solved …

This paper presents actuator fault detection of discrete‐time nonlinear descriptor systems by
means of nonlinear unknown input observers. The approach is based on the exact …

This paper proposes the design of a robust Takagi–Sugeno (T–S) fuzzy reconfiguration
block for systems with unmeasured premise variables. The reconfiguration block is …

In this paper, an observer with exponential time-varying gain is proposed for a class of
nonlinear systems in Takagi–Sugeno form with both continuous-time and aperiodic sampled …

This article addresses the problem of state and unknown inputs (UIs) estimation for
nonlinear systems with arbitrary relative degree with respect to the UIs. For this purpose, a …

Robust stabilization of a class of uncertain nonlinear systems through a sampled‐data
control law is considered in this work. Based on the forward discrete‐time Euler …

This article investigates the design of Takagi–Sugeno (TS) fuzzy model‐based observers for
nonlinear systems with parametric uncertainties and unknown inputs. To address this …

This paper is concerned with fault reconstruction based on sliding mode observers; its
contribution is twofold: on the one hand, it develops a novel sliding mode observer whose …

This paper proposes a novel convex unknown input observer for simultaneously estimating
system states and sensor faults in nonlinear systems. The observer design is based on the …