A calculus of variations approach to the optimal control of discrete event dynamic systems

We present some early results on the control of discrete event dynamic systems (DEDS) using calculus of variations techniques. The idea is motivated by the observation that DEDS can be described by recursive equations of the same form as those used to describe conventional discrete-time continuous-variable dynamic systems. The calculus of variations is one of the few techniques that can handle nonlinearities such as the "max" and "min" operations commonly encountered in DEDS models. We apply the idea to a DEDS control problem in transportation systems and obtain a simple expression for the optimal control policy.

[1]  Y. Wardi,et al.  Optimal release times in a single server: an optimal control perspective , 1998, IEEE Trans. Autom. Control..

[2]  Christos G. Cassandras,et al.  Introduction to the Modelling, Control and Optimization of Discrete Event Systems , 1995 .

[3]  Peter Whittle,et al.  Optimal Control: Basics and Beyond , 1996 .

[4]  Xi-Ren Cao,et al.  Perturbation analysis of discrete event dynamic systems , 1991 .

[5]  Michel Minoux,et al.  Mathematical Programming , 1986 .

[6]  Yu-Chi Ho Overview of ordinal optimization , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[7]  George M. Siouris,et al.  Applied Optimal Control: Optimization, Estimation, and Control , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  Peter Whittle,et al.  Optimization Over Time , 1982 .

[9]  Jason H. Goodfriend,et al.  Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method , 1995 .

[10]  Yu-Chi Ho,et al.  The problem of large search space in stochastic optimization , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[11]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[12]  C. Cassandras,et al.  Concurrent sample path analysis of discrete event systems , 1996, Proceedings of 35th IEEE Conference on Decision and Control.