### Abstract

The authors deals with the problem of determining optimal control locations for large interconnected dynamic systems where a limited number of control inputs are available. Particular applications presented include the stabilization of power systems during a stability crisis and the translation of large flexible space structures. A problem formulation is introduced that defines optimal control locations for large interconnected dynamic systems. Optimality is based on the concept of minimizing the maximum stretching of all connecting members over a defined class of inputs. Several types of large interconnected dynamic systems having structures that reveal optimal control locations are introduced. For these types of systems, optimality of control locations is proved analytically. A procedure based on these analytic insights for determining optimal control locations for any interconnected system is proposed. The procedure determines optimal control locations immediately from the structure of the dynamic equations (i. e. it does not require the computation needed to solve differential equations).

Original language | English |
---|---|

Pages (from-to) | 1224-1227 |

Number of pages | 4 |

Journal | Proceedings of the IEEE Conference on Decision and Control |

Publication status | Published - 1 Dec 1986 |

Externally published | Yes |

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### ASJC Scopus subject areas

- Control and Systems Engineering
- Modelling and Simulation
- Control and Optimization

### Cite this

*Proceedings of the IEEE Conference on Decision and Control*, 1224-1227.

**OPTIMAL CONTROL LOCATIONS FOR A CLASS OF LARGE DYNAMIC SYSTEMS.** / Huang, Garng Morton; Antonio, John.

Research output: Contribution to journal › Conference article

*Proceedings of the IEEE Conference on Decision and Control*, pp. 1224-1227.

}

TY - JOUR

T1 - OPTIMAL CONTROL LOCATIONS FOR A CLASS OF LARGE DYNAMIC SYSTEMS.

AU - Huang, Garng Morton

AU - Antonio, John

PY - 1986/12/1

Y1 - 1986/12/1

N2 - The authors deals with the problem of determining optimal control locations for large interconnected dynamic systems where a limited number of control inputs are available. Particular applications presented include the stabilization of power systems during a stability crisis and the translation of large flexible space structures. A problem formulation is introduced that defines optimal control locations for large interconnected dynamic systems. Optimality is based on the concept of minimizing the maximum stretching of all connecting members over a defined class of inputs. Several types of large interconnected dynamic systems having structures that reveal optimal control locations are introduced. For these types of systems, optimality of control locations is proved analytically. A procedure based on these analytic insights for determining optimal control locations for any interconnected system is proposed. The procedure determines optimal control locations immediately from the structure of the dynamic equations (i. e. it does not require the computation needed to solve differential equations).

AB - The authors deals with the problem of determining optimal control locations for large interconnected dynamic systems where a limited number of control inputs are available. Particular applications presented include the stabilization of power systems during a stability crisis and the translation of large flexible space structures. A problem formulation is introduced that defines optimal control locations for large interconnected dynamic systems. Optimality is based on the concept of minimizing the maximum stretching of all connecting members over a defined class of inputs. Several types of large interconnected dynamic systems having structures that reveal optimal control locations are introduced. For these types of systems, optimality of control locations is proved analytically. A procedure based on these analytic insights for determining optimal control locations for any interconnected system is proposed. The procedure determines optimal control locations immediately from the structure of the dynamic equations (i. e. it does not require the computation needed to solve differential equations).

UR - http://www.scopus.com/inward/record.url?scp=0023031360&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023031360&partnerID=8YFLogxK

M3 - Conference article

SP - 1224

EP - 1227

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

SN - 0191-2216

ER -