Optimal control of a stochastic oscillator in non-equilibrium thermodynamics

Using a parametrically-controlled stochastic oscillator (a model of a heat engine) as illustration, we bring geometric control theory to non-equilibrium thermodynamics. A problem of optimal control is to find finite-time protocols maximizing efficiency of the heat engine. In the approximation of linear response theory, working cycles of the engine are constrained minimizers of energy dissipation, determined through the Pontryagin maximum principle.

[1]  Nigel J. Newton,et al.  Information and Entropy Flow in the Kalman–Bucy Filter , 2005 .

[2]  C. Adams,et al.  Isoperimetric curves on hyperbolic surfaces , 1999 .

[3]  David A. Sivak,et al.  Geometry of thermodynamic control. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  J. Willems,et al.  Stochastic control and the second law of thermodynamics , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[5]  P. Krishnaprasad Optimal Control and Poisson Reduction , 1993 .

[6]  Andrei A. Agrachev,et al.  Introduction to Riemannian and Sub-Riemannian geometry , 2012 .

[7]  V. Jurdjevic Geometric control theory , 1996 .

[8]  R. Zwanzig Nonequilibrium statistical mechanics , 2001, Physics Subject Headings (PhySH).

[9]  J. Willems Dissipative dynamical systems part I: General theory , 1972 .

[10]  W. Mccrea An Introduction to the Study of Stellar Structure , 1939, Nature.

[11]  A. Bloch,et al.  Nonholonomic Mechanics and Control , 2004, IEEE Transactions on Automatic Control.

[12]  V. Jurdjevic,et al.  Hamiltonian point of view of non-Euclidean geometry and elliptic functions , 2001, Syst. Control. Lett..

[13]  David A. Sivak,et al.  Thermodynamic metrics and optimal paths. , 2012, Physical review letters.