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| A Simultaneous Strategy Based on Radial Basis Function for Dynamic Optimization |
| WANG Zhi-Qiang, SHAO Zhi-Jiang, WAN Jiao-Na, FANG Xue-Yi |
| (Department of Control Science and Engineering, Zhejiang University, Hangzhou 3100271, China) |
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Abstract A novel simultaneous strategy for solving dynamic optimization problems, which uses the radial basis function interpolation method to discretize the original models, was studied. In this strategy, the inverse multiquadric function is adopted as the basis function, and the indirect approach is used to solve the ordinary equations. All of these concepts were illustrated with two classic test problems successfully.
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Received: 22 April 2011
Published: 30 August 2011
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