## Abstract

Motivated by the design of complex networks transmitting pulse-like signals, we investigate and develop a network theory for Hamiltonian systems. The main topics of this paper are articulated around the following result: under a few natural assumptions, a network of Hamiltonian systems with energy-conserving interactions will itself be Hamiltonian for the symplectic form ω_{c l} = ω - G^{*} (K (I - C K)^{- 1}) where ω is the symplectic form of the individual components of the network, K encodes the network structure and C, which we call the symplectic gain matrix, is related to the non-involutivity of the control vector fields. A further analysis of this form will reveal how certain interactions result in effectively putting constraints on the system, giving a new result in the flavor of the Dirac theory of constrained Hamiltonian systems but of a control-theoretic origin. Throughout the paper, we use the Toda lattice to illustrate the results and find a new approach to the description of the periodic Toda lattice as a Hamiltonian system on the space of Jacobi matrices.

Original language | English (US) |
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Pages (from-to) | 217-224 |

Number of pages | 8 |

Journal | Systems and Control Letters |

Volume | 58 |

Issue number | 3 |

DOIs | |

State | Published - Mar 2009 |

Externally published | Yes |

## Keywords

- Dirac-Bergmann theory
- Hamiltonian systems
- Networks
- Symplectic form
- Toda flows

## ASJC Scopus subject areas

- Control and Systems Engineering
- Computer Science(all)
- Mechanical Engineering
- Electrical and Electronic Engineering