Abstract
In this contribution we show, mainly based on an example, how Hamiltonian counterparts for partial differential equations that allow for a variational principle can be derived in a systematic manner. The main tool will be the appropriate use of the Lagrange multiplier technique, which allows us to obtain several well-known Hamiltonian formulations by using a common principle. The Mindlin plate will be used to visualize the presented approach
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Notes
- 1.
In the integrand \(\mathcal{L}\circ \phi _{\epsilon }(\sigma )\) it is implicitly assumed that one plugs in the derivative of ϕ ε (σ) as the derivative variables x i α are present in \(\mathcal{L}\). Using a more precise notation this could be written as \(\mathcal{L}\circ j^{1}(\phi _{\epsilon }(\sigma ))\), but to enhance the readability we will not indicate the jet-prolongations (i.e. j 1) when it follows from the context.
- 2.
\(\rfloor\) denotes the natural contraction, i.e., \(\partial _{X^{i}}\rfloor \varOmega =\mathrm{ (-1)^{i-1}d}X^{1} \wedge \ldots \wedge \hat{\mathrm{d}X}^{i} \wedge \ldots \wedge \mathrm{d}X^{p}\) where \(\hat{\mathrm{d}X}^{i}\) is omitted.
References
Abraham R, Marsden JE (1978) Foundations of mechanics. Addison Wesley, Redwood city
Giachetta G, Mangiarotti L, Sardanashvily G (1997) New Lagrangian and Hamiltonian methods in field theory. World Scientific, Singapore
Macchelli A, van der Schaft AJ, Melchiorri C (2004) Port hamiltonian formulation of infinite dimensional systems I. modeling. In: Proceedings 43rd IEEE conference on decision and control (CDC), pp 3762–3767
Macchelli A, Melchiorri C, Bassi L (2005) Port based modelling and control of the Mindlin plate. In: Proceedings 44th IEEE conference on decision and control (CDC), pp 5989–5994
Marsden JE, Hughes TJR (1994) Mathematical foundations of elasticity. Dover Publications, New York
Marsden JE, Pekarsky S, Shkoller S, West M (2001) Variational methods, multisymplectic geometry and continuum mechanics. J Geom Phys 38:253–284
Olver PJ (1986) Applications of lie groups to differential equations. Springer, New York
Schlacher K (2008) Mathematical modeling for nonlinear control: a Hamiltonian approach. Math Comput Simul 97:829–849
Schlacher K, Schöberl M (2015) How to choose the state for distributed-parameter systems, a geometric point of view. In Proceedings 8th Vienna international conference on mathematical modelling, pp 500–501
Schöberl M, Schlacher K (2011) First order hamiltonian field theory and mechanics. Math Comput Model Dyn Syst 17:105–121
Schöberl M, Siuka A (2013) Analysis and comparison of port-hamiltonian formulations for field theories - demonstrated by means of the Mindlin plate. In: Proceedings 12th European control conference (ECC), pp 548–553
Schöberl M, Siuka, A (2014) Jet bundle formulation of infinite-dimensional port-hamiltonian systems using differential operators. Automatica 50:607–613
van der Schaft AJ, Maschke BM (2002) Hamiltonian formulation of distributed-parameter systems with boundary energy flow. J Geom Phys 42:166–194
Acknowledgements
This work has been partially supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 programme.
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Schöberl, M., Schlacher, K. (2017). Variational Principles for Different Representations of Lagrangian and Hamiltonian Systems. In: Irschik, H., Belyaev, A., Krommer, M. (eds) Dynamics and Control of Advanced Structures and Machines. Springer, Cham. https://doi.org/10.1007/978-3-319-43080-5_7
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DOI: https://doi.org/10.1007/978-3-319-43080-5_7
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