Learning in the synthesis of data-driven variable-gain controllers

被引：0

作者：

Heertjes, Marcel ^{[1
]}

Hunnekens, Bram ^{[1
]}

van de Wouw, Nathan ^{[1
]}

Nijmeijer, Henk ^{[1
]}

机构：

[1] Eindhoven Univ Technol, Dept Mech Engn, NL-5600 MB Eindhoven, Netherlands

来源：

2013 AMERICAN CONTROL CONFERENCE (ACC) | 2013年

关键词：

data-driven optimization; gradient methods; Lur'e systems; motion control; self-tuning; wafer scanners; PERFORMANCE; STABILITY; FEEDBACK; DESIGN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To deal with performance trade-offs in the control of motion systems, a method is developed for designing variable-gain feedback controllers. The idea is to select a piecewise affine controller structure and, subsequently, to find the nonlinear controller parameter values of this structure by data-driven performance optimization. Herein an H-2 performance objective is minimized. As a result, variable-gain controllers are synthesized using techniques from the field of learning and optimization. The method is applied to a wafer stage simulation model.

引用

页码：6685 / 6690

页数：6

共 50 条

[31] Preselection of Variable-Gain Tubes for Compressors
Singer, Kurt
JOURNAL OF THE SOCIETY OF MOTION PICTURE ENGINEERS, 1949, 52 (06): : 684 - 689
[32] HIGH-FREQUENCY DISTORTION IN EMITTER-DRIVEN VARIABLE-GAIN PAIRS
YEN, CS
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 1980, 15 (03) : 375 - 377
[33] P-Map: An Intuitive Plot to Visualize, Understand, and Compare Variable-Gain PI Controllers
Wu, Dongrui
AUTONOMOUS AND INTELLIGENT SYSTEMS, 2011, 6752 : 189 - 198
[34] A VARIABLE-THRESHOLD, VARIABLE-GAIN, INFRARED PHOTOPLETHYSMOGRAPH
HARRISON, DW
ISAAC, W
JOURNAL OF BEHAVIORAL ASSESSMENT, 1984, 6 (02): : 155 - 157
[35] Model-based piecewise affine variable-gain controller synthesis
Hunnekens, B. G. B.
Heertjes, M. F.
van de Wouw, N.
Nijmeijer, H.
2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 6045 - 6050
[36] Decentralized Data-Driven Tuning of Droop Frequency Controllers
Santos, Allan Almeida
Mora, Edwin
Peters, Jan
Steinke, Florian
2020 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT-EUROPE 2020): SMART GRIDS: KEY ENABLERS OF A GREEN POWER SYSTEM, 2020, : 141 - 145
[37] Data-Driven Synthesis of Optimization-Based Controllers for Regulation of Unknown Linear Systems
Bianchin, Gianluca
Vaquero, Miguel
Cortes, Jorge
Dall'Anese, Emiliano
2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 5783 - 5788
[38] Data-driven synthesis of optimization-based controllers for regulation of unknown linear systems
The Department of Electrical, Computer, and Energy Engineering, University of Colorado, Boulder, United States
不详
不详
arXiv,
[39] Data-Driven Synthesis of Safety Controllers for Partially-Observable Systems with Unknown Models
Jahanshahi, Niloofar
Zamani, Majid
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 1052 - 1057
[40] AN APPROACH TO DATA-DRIVEN LEARNING
MARKOV, Z
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1991, 535 : 127 - 140

← 1 2 3 4 5 →