Name
Title | ||
|---|---|---|
Optimal synchronization controller design for complex dynamical networks with unknown system dynamics. |
Abstract | ||
|---|---|---|
In this paper, the optimal synchronization controller design problem for complex dynamical networks with unknown system internal dynamics is studied. A necessary and sufficient condition on the existence of the optimal control minimizing a quadratic performance index is given. The optimal control law consists of a feedback control and a compensated feedforward control, and the feedback control gain can be obtained by solving the well-known Algebraic Riccati Equation (ARE). Especially, in the presence of unknown system dynamics, a novel adaptive iterative algorithm using the information of system states and inputs is proposed to solve the ARE to get the optimal feedback control gain. Finally, a simulation example shows the effectiveness of the theoretical results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jfranklin.2018.11.054 | Journal of the Franklin Institute |
Field | DocType | Volume |
Synchronization,Mathematical optimization,Optimal control,Controller design,Iterative method,Control theory,Quadratic equation,Algebraic Riccati equation,System dynamics,Mathematics,Feed forward | Journal | 356 |
Issue | ISSN | Citations |
12 | 0016-0032 | 2 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ya-Wei Cao | 1 | 2 | 0.36 |
| Guang-Hong Yang | 2 | 3150 | 212.39 |
| Xiao-Jian Li | 3 | 264 | 13.82 |