Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

Distributed observers are the framework of fusing observed data by constructing a
cooperative observer network. This article renders a scheme of distributed observers for a …

Dynamics model learning deals with the task of inferring unknown dynamics from
measurement data and predicting the future behavior of the system. A typical approach to …

A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy
models with linear or affine consequents. It is well known that the stability of these …

In this paper, we investigate the estimation problem for a class of partially observable
nonlinear systems. For the proposed Partial Observer Normal Form (PONF), necessary and …

This paper proposes a scheme of distributed observer for a class of nonlinear system. The
observer includes a group of local observers and all of these local observers are linked with …

For fast, nonlinear and unstable dynamical systems, such as magnetic levitation, high quality
of control is essential. Such control can be generated by different feedback structures, most …

We propose a new type of Proportional Integral (PI) state observer for a class of nonlinear
systems in continuous time which ensures an asymptotic stable convergence of the state …

Stability is an important issue for the secure operation of power systems as an unsecured
system faces a lot of unusual operating conditions and due to these unusual operating …

In this paper, we investigate Partial Observability Normal Forms (PONF) of nonlinear
dynamical systems. Necessary and sufficient conditions for the existence of a …