Publication

A review of convex approaches for control, observation and safety of linear parameter varying and Takagi-Sugeno systems

Journal Article (2019)

Journal

Processes

Pages

814

Volume

7

Number

11

Doc link

https://doi.org/10.3390/pr7110814

File

Download the digital copy of the doc pdf document

Abstract

This paper provides a review about the concept of convex systems based on Takagi-Sugeno, linear parameter varying (LPV) and quasi-LPV modeling. These paradigms are capable of hiding the nonlinearities by means of an equivalent description which uses a set of linear models interpolated by appropriately defined weighing functions. Convex systems have become very popular since they allow applying extended linear techniques based on linear matrix inequalities (LMIs) to complex nonlinear systems. This survey aims at providing the reader with a significant overview of the existing LMI-based techniques for convex systems in the fields of control, observation and safety. Firstly, a detailed review of stability, feedback, tracking and model predictive control (MPC) convex controllers is considered. Secondly, the problem of state estimation is addressed through the design of proportional, proportional-integral, unknown input and descriptor observers. Finally, safety of convex systems is discussed by describing popular techniques for fault diagnosis and fault tolerant control (FTC).

Categories

control system analysis, control system synthesis, control theory.

Author keywords

linear parameter varying (LPV) systems, Takagi-Sugeno systems, convex systems, linear matrix inequalities (LMIs), fault diagnosis, fault tolerant control (FTC)

Scientific reference

F.R. Lopez, D. Rotondo and G. Valencia. A review of convex approaches for control, observation and safety of linear parameter varying and Takagi-Sugeno systems. Processes, 7(11): 814, 2019.