Title
Iterative Solution Of Linear Matrix Inequalities For The Combined Control And Observer Design Of Systems With Polytopic Parameter Uncertainty And Stochastic Noise
Abstract
Most research activities that utilize linear matrix inequality (LMI) techniques are based on the assumption that the separation principle of control and observer synthesis holds. This principle states that the combination of separately designed linear state feedback controllers and linear state observers, which are independently proven to be stable, results in overall stable system dynamics. However, even for linear systems, this property does not necessarily hold if polytopic parameter uncertainty and stochastic noise influence the system's state and output equations. In this case, the control and observer design needs to be performed simultaneously to guarantee stabilization. However, the loss of the validity of the separation principle leads to nonlinear matrix inequalities instead of LMIs. For those nonlinear inequalities, the current paper proposes an iterative LMI solution procedure. If this algorithm produces a feasible solution, the resulting controller and observer gains ensure robust stability of the closed-loop control system for all possible parameter values. In addition, the proposed optimization criterion leads to a minimization of the sensitivity to stochastic noise so that the actual state trajectories converge as closely as possible to the desired operating point. The efficiency of the proposed solution approach is demonstrated by stabilizing the Zeeman catastrophe machine along the unstable branch of its bifurcation diagram. Additionally, an observer-based tracking control task is embedded into an iterative learning-type control framework.
Year
DOI
Venue
2021
10.3390/a14070205
ALGORITHMS
Keywords
DocType
Volume
polytopic uncertainty, stochastic disturbances, robust control, observer design, linear matrix inequalities, optimization
Journal
14
Issue
Citations 
PageRank 
7
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Andreas Rauh111.76
Robert Dehnert200.34
Swantje Romig300.68
Sabine Lerch400.34
Bernd Tibken500.34