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| Title: | Adaptive critic based neural networks for control-constrained agile missile control | |
| Author (s): | Dongchen Han Balakrishnan, S. N. | |
| Department/Lab Affiliations: | Mechanical & Aerospace Engineering | |
| Keywords: | Hamiltonian equations adaptive critic based neural networks angle of attack control-constrained agile missile control feedback feedback control flightpath angle missile control neurocontrollers optimal control optimisation two-network structure | |
| Issue Date: | 1999 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Dongchen Han; Balakrishnan, S. N. "Adaptive critic based neural networks for control-constrained agile missile control" Proceedings of the 1999 American Control Conference, 1999. Vol.4, 1999 Pages:2600-2604 vol.4 | |
| Abstract: | We investigate the use of an `adaptive critic' based controller to steer an agile missile with a constraint on the angle of attack from various initial Mach numbers to a given final Mach number in minimum time while completely reversing its flightpath angle. We use neural networks with a two-network structure called `adaptive critic' to carry out the optimization process. This structure obtains an optimal controller through solving Hamiltonian equations. This approach needs no external training; each network along with the optimality equations generates the output for the other network. When the outputs are mutually consistent, the controller output is optimal. Though the networks are trained off-line, the resulting control is a feedback control | |
| Type: | Article - Journal text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Adaptive critic based neural networks for control-constrained agile missile control | |
| contributor.author | Dongchen Han | |
| contributor.author | Balakrishnan, S. N. | |
| contributor.deptlab | Mechanical & Aerospace Engineering | |
| subject | Hamiltonian equations | |
| subject | adaptive critic based neural networks | |
| subject | angle of attack | |
| subject | control-constrained agile missile control | |
| subject | feedback | |
| subject | feedback control | |
| subject | flightpath angle | |
| subject | missile control | |
| subject | neurocontrollers | |
| subject | optimal control | |
| subject | optimisation | |
| subject | two-network structure | |
| date.issued | 1999 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Dongchen Han; Balakrishnan, S. N. "Adaptive critic based neural networks for control-constrained agile missile control" Proceedings of the 1999 American Control Conference, 1999. Vol.4, 1999 Pages:2600-2604 vol.4 | |
| identifier.pub.URI | ||
| description.abstract | We investigate the use of an `adaptive critic' based controller to steer an agile missile with a constraint on the angle of attack from various initial Mach numbers to a given final Mach number in minimum time while completely reversing its flightpath angle. We use neural networks with a two-network structure called `adaptive critic' to carry out the optimization process. This structure obtains an optimal controller through solving Hamiltonian equations. This approach needs no external training; each network along with the optimality equations generates the output for the other network. When the outputs are mutually consistent, the controller output is optimal. Though the networks are trained off-line, the resulting control is a feedback control | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:05:51Z | |
| date.available | 2007-04-05T14:05:51Z | |
| identifier.persist.URI | ||
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