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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Guodong Liu, Xinggao |
| Copyright Year | 2014 |
| Abstract | Optimal control problem with incomplete and different integral time domains is a class of very common practical engineering problems. In traditional way, the integral items are transformed to the transient items and treated as artificial states to reduce the complexity of programming. However, its main disadvantage is time wasting for the considered problems. In this paper, an efficient computational method is therefore proposed for this type of problem, where the integral time domains can be either fixed or variable. By employing the control vector parameterization and a timescaling transformation, the original problem is converted to an approximate optimal parameter selection problem. Moreover, new gradient formulae for the cost and constraint functions are derived. With these gradient formulae, standard gradient-based optimization methods can be easily applied to solve the generated approximate problem. For illustration, three classical numerical examples are tested. The research results, which save 10–22 % of time, show the effectivity of the proposed approach. |
| Starting Page | 2883 |
| Ending Page | 2895 |
| Page Count | 13 |
| File Format | |
| ISSN | 0924090X |
| Journal | Nonlinear Dynamics |
| Volume Number | 78 |
| Issue Number | 4 |
| e-ISSN | 1573269X |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2014-08-27 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Nonlinear optimal control Optimal control computation Constrained optimal control Control parameterization Vibration, Dynamical Systems, Control Mechanics Mechanical Engineering Automotive Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ocean Engineering Applied Mathematics Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Aerospace Engineering |
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