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Optimal Control Applications and Methods
Optim Contr Appl Meth
ISSN (printed): 01432087. ISSN (electronic): 10991514.
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 socioeconomic 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 linearquadratic control (deterministic and stochastic) optimal adaptive control (including selftuning) optimal shape design dynamic programming optimal stochastic control periodic optimal control optimal estimation multicriteria optimal control singular perturbation methods in optimal control and the optimal control of largescale systems timedelay systems and nonlinear feedback systems. Nonlinear programming techniques are included if used in the context of solving discretetime optimal control problems or a discrete approximation of the original optimal control problem.
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