On data-driven control design for non-minimum-phase plants: A comparative view

2016 ◽  
Author(s):  
Gianmarco Rallo ◽  
Simone Formentin ◽  
Sergio M. Savaresi
Keyword(s):  
Control Design ◽  
Data Driven ◽  
Minimum Phase

Data-driven Controller Tuning for Non-minimum Phase Plants with Stability Constraints

2014 ◽  
Vol 134 (12) ◽  
pp. 1802-1808
Author(s):  
Ryota Matsuo ◽  
Kazuhiro Yubai ◽  
Daisuke Yashiro ◽  
Junji Hirai
Keyword(s):  
Data Driven ◽  
Minimum Phase ◽  
Controller Tuning

Data-driven model reference control design by prediction error identification

2017 ◽  
Vol 354 (6) ◽  
pp. 2628-2647 ◽  
Author(s):  
Lucíola Campestrini ◽  
Diego Eckhard ◽  
Alexandre Sanfelice Bazanella ◽  
Michel Gevers
Keyword(s):  
Prediction Error ◽  
Control Design ◽  
Data Driven ◽  
Error Identification ◽  
Model Reference ◽  
Model Reference Control

Application of Mixed H2/H∞ Data Driven Control Design to Dual Stage Hard Disk Drives

2018 ◽  
Author(s):  
Omid Bagherieh ◽  
Prateek Shah ◽  
Roberto Horowitz
Keyword(s):  
Closed Loop ◽  
Transfer Functions ◽  
Hard Disk Drives ◽  
Control Design ◽  
Hard Disk ◽  
Data Driven ◽  
Disk Drives ◽  
Design Strategies ◽  
Data Driven Approach ◽  
Dual Stage

A data driven control design approach in the frequency domain is used to design track following feedback controllers for dual-stage hard disk drives using multiple data measurements. The advantage of the data driven approach over model based approach is that, in the former approach the controllers are directly designed from frequency responses of the plant, hence avoiding any model mismatch. The feedback controller is considered to have a Sensitivity Decoupling Structure. The data driven approach utilizes H∞ and H2 norms as the control objectives. The H∞ norm is used to shape the closed loop transfer functions and ensure closed loop stability. The H2 norm is used to constrain and/or minimize the variance of the relevant signals in time domain. The control objectives are posed as a locally convex optimization problem. Two design strategies for the dual-stage hard disk drive are presented.

scholarly journals Data-driven control design in the Loewner framework: Dealing with stability and noise

2018 ◽  
Author(s):  
Pauline Kergus ◽  
Simone Formentin ◽  
Charles Poussot-Vassal ◽  
Fabrice Demourant
Keyword(s):  
Control Design ◽  
Data Driven

scholarly journals Loewner-based Data-driven Iterative Structured Control Design

2021 ◽  
Author(s):  
Basile Bouteau ◽  
Pauline Kergus ◽  
Pierre Vuillemin
Keyword(s):  
Control Design ◽  
Data Driven
Sign in / Sign up

Export Citation Format

Share Document