Adaptive feedback control by constrained approximate dynamic programming

被引：31

作者：

Ferrari, Silvia ^{[1
]}

Steck, James E. ^{[2
]}

Chandramohan, Rajeev ^{[2
]}

机构：

[1] Duke Univ, Dept Mech Engn, Durham, NC 27708 USA

[2] Wichita State Univ, Dept Aerosp Engn, Wichita, KS 67260 USA

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2008年 / 38卷 / 04期

基金：

美国国家科学基金会;

关键词：

approximate dynamic programming (ADP); constrained optimization; feedback control; neural networks (NNs);

D O I：

10.1109/TSMCB.2008.924140

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarantees. Prior knowledge of the linearized equations of motion is used to guarantee that the closed-loop system meets performance and stability objectives when the plant operates in a linear parameter-varying (LPV) regime. In the presence of unmodeled dynamics or failures, the NN controller adapts to optimize its performance online, whereas constrained ADP guarantees that the LPV baseline performance is preserved at all times. The effectiveness of an adaptive NN flight controller is demonstrated for simulated control failures, parameter variations, and near-stall dynamics.

引用

页码：982 / 987

页数：6

共 50 条

[31] Dynamic programming equations for constrained stochastic control
Chen, RC
Blankenship, GL
PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 2014 - 2022
[32] An approximate dynamic programming approach to a communication constrained sensor management problem
Williams, JL
Fisher, JW
Willsky, AS
2005 7TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), VOLS 1 AND 2, 2005, : 582 - 589
[33] A dynamic programming approach to constrained feedback hybrid ARQ design
Chande, V
Farvardin, N
1998 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, 1998, : 286 - 286
[34] Approximate dynamic programming for communication-constrained sensor network management
Williams, Jason L.
Fisher, John W., III
Willsky, Alan S.
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (08) : 4300 - 4311
[35] Event-triggered adaptive optimal control using output feedback: An adaptive dynamic programming approach
Zhao, Fuyu
Jiang, Zhong-Ping
Liu, Tengfei
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 1979 - 1984
[36] Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming
Gao, Weinan
Jiang, Yu
Jiang, Zhong-Ping
Chai, Tianyou
AUTOMATICA, 2016, 72 : 37 - 45
[37] Output feedback control of anti-linear systems using adaptive dynamic programming
Yu, Li
Wang, Hai
OPTIMAL CONTROL APPLICATIONS & METHODS, 2025, 46 (01): : 155 - 173
[38] A Retrospective on Adaptive Dynamic Programming for Control
Lendaris, George G.
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 945 - 952
[39] Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
George, Abraham P.
Powell, Warren B.
MACHINE LEARNING, 2006, 65 (01) : 167 - 198
[40] Adaptive Compressive Measurement Design Using Approximate Dynamic Programming
Zahedi, Ramin
Krakow, Lucas W.
Chong, Edwin K. P.
Pezeshki, Ali
2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 2442 - 2447

← 1 2 3 4 5 →