scholarly journals Data-Driven Optimal Control of Linear Time-Invariant Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 7191-7196
Author(s):  
Dzmitry Kastsiukevich ◽  
Natalia Dmitruk
Keyword(s):  
Optimal Control ◽  
Linear Time ◽  
Data Driven ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Time Invariant

scholarly journals Bond graph formulation of an optimal control problem for linear time invariant systems

2008 ◽  
Vol 345 (4) ◽  
pp. 349-373 ◽  
Author(s):  
Wilfrid Marquis-Favre ◽  
Omar Mouhib ◽  
Bogdan Chereji ◽  
Daniel Thomasset ◽  
Jérôme Pousin ◽  
...  
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Linear Time ◽  
Bond Graph ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Time Invariant

FRIT of Internal Model Controllers for Poorly Damped Linear Time Invariant Systems: Kautz Expansion Approach

2016 ◽  
Vol 28 (5) ◽  
pp. 745-751 ◽  
Author(s):  
Hnin Si ◽  
◽  
Osamu Kaneko ◽  
Keyword(s):  
Internal Model ◽  
Linear Time ◽  
Expansion Method ◽  
Parameter Tuning ◽  
Internal Model Control ◽  
Data Driven ◽  
Linear Time Invariant ◽  
Model Control ◽  
Linear Time Invariant Systems ◽  
Time Invariant

[abstFig src='/00280005/18.jpg' width='300' text='Data-driven approach to internal model controller with tunable parameters' ] This paper addresses the tuning of data-driven controllers for poorly damped linear time-invariant systems in the internal model control (IMC) architecture. In this study, fictitious reference iterative tuning (FRIT), which is one of the controller parameter tuning methods with the data obtained from a one-shot experiment, is used for tuning the controller. The Kautz expansion method in which the coefficients are tunable parameters is introduced to approximate the dynamics of linear time-invariant systems, which have poor damping characteristics. Such an approximated model with tunable parameters is implemented in the IMC architecture. A model and a controller can be realized simultaneously with a one-shot experiment by tuning the IMC with the parameterized Kautz expansion model and by using FRIT. The validity of the proposed method is examined with a numerical example.

Sign in / Sign up

Export Citation Format

Share Document