Title
Output Feedback-Based Boundary Control of Uncertain Coupled Semilinear Parabolic PDE Using Neurodynamic Programming.
Abstract
In this paper, neurodynamic programming-based output feedback boundary control of distributed parameter systems governed by uncertain coupled semilinear parabolic partial differential equations (PDEs) under Neumann or Dirichlet boundary control conditions is introduced. First, Hamilton-Jacobi-Bellman (HJB) equation is formulated in the original PDE domain and the optimal control policy is derived ...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2669941
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Observers,Optimal control,Aerospace electronics,Artificial neural networks,Output feedback,Mathematical model,Stability analysis
Parabolic partial differential equation,Hamilton–Jacobi–Bellman equation,Lyapunov function,Control theory,Nonlinear system,Optimal control,Control theory,Distributed parameter system,Partial differential equation,Mathematics
Journal
Volume
Issue
ISSN
29
4
2162-237X
Citations 
PageRank 
References 
1
0.35
8
Authors
3
Name
Order
Citations
PageRank
Behzad Talaei142.12
Sarangapani Jagannathan2113694.89
John R. Singler35912.98