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22

CDC
2008
IEEE

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A Hamiltonian approximation method for the reduction of controlled systems

13 years 6 months ago

A Hamiltonian approximation method for the reduction of controlled systems

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Abstract-- This paper considers the problem of model reduction for controlled systems. The paper considers a dual/adjoint formulation of the general optimization problem to minimize a criterion function subject to plant dynamics and system constraints. By carrying out an approximation on the Lagrangian or Hamiltonian system that is inferred from the dual optimization problem, a reduced Hamiltonian system is obtained that approximates the optimally controlled dynamical system. The merits of the method are illustrated on an example of a controlled binary distillation process.

Siep Weiland

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CDC 2008 | Control Systems | General Optimization Problem | Hamiltonian System | Optimization Problem |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	CDC
Authors	Siep Weiland

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