Optimal Control Application and Methods

Optimal Control Application and Methods

Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.

The subject involves the optimization of systems described by differential or difference equations and even covers hybrid systems and non-linear programming and optimization methods. The class of problems covered includes: static and dynamic optimization, linear-quadratic control, nonlinear optimal control, optimal systems design, dynamic programming, optimal stochastic control, periodic optimal control, optimal estimation, multi-criteria and multiple model optimal control, singular perturbation methods, repetitive control, the optimal control of large-scale or distributed systems, and time-delay systems. Papers on the theory of systems with great applications potential will be particularly encouraged including papers on areas such as predictive control, optimal adaptive control, nonlinear, safety critical and reliable control .

There is a significant interest in applications, which includes: process and manufacturing, aerospace and defence, marine and automotive systems, structural and mechanical design, robotics and manufacturing systems, chemical, petrochemical and industrial processes, electric power generation and distribution systems, energy systems and management, operations research and business, socio-economic models, biological and biomedical systems, environmental control, water treatment and ecology management, electrical and electronic systems and health care and support. It will also cover a wide range of interdisciplinary and complex systems problems, where multi-agent software solutions, intelligent sensors and either dynamic or static optimization plays a major role.

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