We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …

There is a large variety of methods in literature for process design and control, which can be
classified into two main categories. The methods in the first category have a sequential …

This paper presents a new approach for sensor location for state and parameter estimation
for stable nonlinear systems. The unique feature of this technique is that sensor locations for …

A reinforcement learning-based method is proposed for optimal sensor placement in the
spatial domain for modeling distributed parameter systems (DPSs). First, a low-dimensional …

This paper presents a systematic approach to efficiently reconstruct the infinite dimensional
field in distributed process systems from a limited, and usually reduced, number of sensors …

In this article, we consider state estimation of wastewater treatment plants based on model
approximation. In particular, we consider a wastewater treatment plant described by the …

In this contribution we propose a systematic approach to field reconstruction of distributed
process systems from a limited and usually reduced number of measurements. The method …

This paper presents a new technique for placing sensors on processes described by stable
nonlinear dynamic systems. The methodology can compute locations for individual sensors …

Dresidual, j residual measurement agreement metric for hardware fault parameter j dj
closest point along fault trajectory for fault scenario j to the current observation fi effective …

This paper presents an approach for determining the optimal placement of multiple sensors
for processes described by a class of nonlinear dynamic systems. This approach is based …