Back to Search Start Over

Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs.

Authors :
Yang, Xiong
Zhu, Yuanheng
Dong, Na
Wei, Qinglai
Source :
IEEE Transactions on Neural Networks & Learning Systems; Oct2022, Vol. 33 Issue 10, p5830-5844, 15p
Publication Year :
2022

Abstract

We study the decentralized event-driven control problem of nonlinear dynamical systems with mismatched interconnections and asymmetric input constraints. To begin with, by introducing a discounted cost function for each auxiliary subsystem, we transform the decentralized event-driven constrained control problem into a group of nonlinear $H_{2}$ -constrained optimal control problems. Then, we develop the event-driven Hamilton–Jacobi–Bellman equations (ED-HJBEs), which arise in the nonlinear $H_{2}$ -constrained optimal control problems. Meanwhile, we demonstrate that all the solutions of the ED-HJBEs together keep the overall system stable in the sense of uniform ultimate boundedness (UUB). To solve the ED-HJBEs, we build a critic-only architecture under the framework of adaptive critic designs. The architecture only employs critic neural networks and updates their weight vectors via the gradient descent method. After that, based on the Lyapunov approach, we prove that the UUB stability of all signals in the closed-loop auxiliary subsystems is assured. Finally, simulations of an illustrated nonlinear interconnected plant are provided to validate the present designs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
33
Issue :
10
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
160690104
Full Text :
https://doi.org/10.1109/TNNLS.2021.3071548