CLPP: A User-Friendly Platform for Nonlinear Robust Observer Design

In this paper, a new user-friendly platform for robust observer design is presented. The aim of this software is to render the process of observer design as simple as possible for process practitioners and researchers involved in control or supervision tasks. The platform is dedicated to laboratory scale processes in which key variables are not directly measured and therefore need to be estimated. Moreover, model mismatches and uncertainties can be potentially recovered. The tool can also be used to analyze the feasibility of the related inverse problem for a given choice of the sensors, the sampling time, the observation window, etc. making it a precious tool to design the instrumentation of the process. A particularly useful feature for researchers is the possibility to automatically generate a Matlab S-function that may be connected to the user's own control/diagnosis modules to perform the estimation task. The software is intended to be freely available (by simple request) for research and educational purposes by mid 2010.