Hybrid decentralized maximum entropy control for large-scale dynamical systems.
In the analysis of complex, large-scale dynamical systems it is often essential to decompose the overall dynamical system into a collection interacting subsystems. Because of implementation constraints, cost, and reliability considerations, a decentralized controller architecture is often required f...
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2006
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Hybrid decentralized maximum entropy control for large-scale dynamical systems. Haddad, Wassim. Hui, Qing. Chellaboina, VijaySekhar. Nersesov, Sergey. In the analysis of complex, large-scale dynamical systems it is often essential to decompose the overall dynamical system into a collection interacting subsystems. Because of implementation constraints, cost, and reliability considerations, a decentralized controller architecture is often required for controlling large-scale interconnected dynamical systems. In this paper, a novel class of fixed-order, energy-based hybrid decentralized controllers is proposed as a means for achieving enhanced energy dissipation in large-scale lossless and dissipative dynamical systems. These dynamic decentralized controllers combine a logical switching architecture with continuous dynamics to guarantee that the system plant energy is strictly decreasing across switchings. The general framework leads to hybrid closed-loop systems described by impulsive differential equations. In addition, we construct hybrid dynamic controllers that guarantee that each subsystem-subcontroller pair of the hybrid closed-loop system is consistent with basic thermodynamic principles. Special cases of energy-based hybrid controllers involving state-dependent switching are described. 2006 Villanova Faculty Authorship vudl:178307 Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006 en |
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Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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Haddad, Wassim. Hui, Qing. Chellaboina, VijaySekhar. Nersesov, Sergey. |
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In the analysis of complex, large-scale dynamical
systems it is often essential to decompose the overall dynamical
system into a collection interacting subsystems. Because of
implementation constraints, cost, and reliability considerations,
a decentralized controller architecture is often required for
controlling large-scale interconnected dynamical systems. In
this paper, a novel class of fixed-order, energy-based hybrid
decentralized controllers is proposed as a means for achieving
enhanced energy dissipation in large-scale lossless and
dissipative dynamical systems. These dynamic decentralized
controllers combine a logical switching architecture with continuous
dynamics to guarantee that the system plant energy is
strictly decreasing across switchings. The general framework
leads to hybrid closed-loop systems described by impulsive
differential equations. In addition, we construct hybrid dynamic
controllers that guarantee that each subsystem-subcontroller
pair of the hybrid closed-loop system is consistent with basic
thermodynamic principles. Special cases of energy-based hybrid
controllers involving state-dependent switching are described. |
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2006 |
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Villanova Faculty Authorship |
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vudl:178307 |
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Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006 |
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en |
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Haddad, Wassim. Hui, Qing. Chellaboina, VijaySekhar. Nersesov, Sergey. |
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Haddad, Wassim. Hui, Qing. Chellaboina, VijaySekhar. Nersesov, Sergey. Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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Haddad, Wassim. Hui, Qing. Chellaboina, VijaySekhar. Nersesov, Sergey. |
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Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006 |
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Villanova Faculty Authorship |
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Haddad, Wassim. |
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2006 |
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Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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In the analysis of complex, large-scale dynamical
systems it is often essential to decompose the overall dynamical
system into a collection interacting subsystems. Because of
implementation constraints, cost, and reliability considerations,
a decentralized controller architecture is often required for
controlling large-scale interconnected dynamical systems. In
this paper, a novel class of fixed-order, energy-based hybrid
decentralized controllers is proposed as a means for achieving
enhanced energy dissipation in large-scale lossless and
dissipative dynamical systems. These dynamic decentralized
controllers combine a logical switching architecture with continuous
dynamics to guarantee that the system plant energy is
strictly decreasing across switchings. The general framework
leads to hybrid closed-loop systems described by impulsive
differential equations. In addition, we construct hybrid dynamic
controllers that guarantee that each subsystem-subcontroller
pair of the hybrid closed-loop system is consistent with basic
thermodynamic principles. Special cases of energy-based hybrid
controllers involving state-dependent switching are described. |
| title |
Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
| title_full |
Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
| title_full_unstemmed |
Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
| title_short |
Hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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hybrid decentralized maximum entropy control for large-scale dynamical systems. |
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2006 |
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2006-01-01T00:00:00Z |
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English |
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