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Optimal Control Applications and Methods
Optim Contr Appl Meth

ISSN (printed): 0143-2087. ISSN (electronic): 1099-1514.

Optimal Control Applications & Methods provides an interdisciplinary forum for the reporting of interesting optimal control applications in order to emphasize both the commonality of the underlying theory and the diversity of its applications. The major thrust is on applications which include: aerospace marine and automotive systems structural and mechanical design robots and manufacturing systems chemical and industrial processes electric power systems and energy management operations research and business socio-economic models biomedical systems environmental control and ecology management and electrical and electronic systems. A second and complementary objective is to provide a focal point for the development comparison and testing of computational algorithms for solving optimal control problems. The usual definition of optimal control implies the optimization of systems described by differential equations and at least one control function. More specifically the class of problems appropriate for this journal includes linear-quadratic control (deterministic and stochastic) optimal adaptive control (including self-tuning) optimal shape design dynamic programming optimal stochastic control periodic optimal control optimal estimation multi-criteria optimal control singular perturbation methods in optimal control and the optimal control of large-scale systems time-delay systems and non-linear feedback systems. Non-linear programming techniques are included if used in the context of solving discrete-time optimal control problems or a discrete approximation of the original optimal control problem.

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