Title | ||
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Output Feedback-Based Boundary Control of Uncertain Coupled Semilinear Parabolic PDE Using Neurodynamic Programming. |
Abstract | ||
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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 |
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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 Talaei | 1 | 4 | 2.12 |
Sarangapani Jagannathan | 2 | 1136 | 94.89 |
John R. Singler | 3 | 59 | 12.98 |