Optimization-Driven Methods for Optimal Operation and Control Strategies

Dear Colleagues,

It is my pleasure to invite contributions to this Special Issue on Optimization-Driven Methods for Optimal Operation and Control Strategies.

Numerical optimization approaches have improved significantly in recent years. They enable us to find optimal operation and control strategies that trade-off many aspects of process operation while taking constraints into account. This has made optimization-based approaches attractive for industrial practitioners as well as academic research.

This Special Issue will collect contributions that apply and develop optimization concepts for realizing optimal process operation and control. This includes online-optimization methods, such as model predictive control (MPC) and real-time optimization (RTO), as well as developments that use optimization off-line for designing an optimal control structure, or controllers, including tuning. Applications of optimizations and new developments of optimization algorithms and methods are both welcome.

Topics include

• Model predictive control
• Dynamic real-time optimization / economic model predictive control
• Real-time optimization / modifier adaptation / self-optimizing control
• Optimization-based controller design and controller tuning methods
• Learning-based optimization for optimal operation
• Data-based optimization of operations
• Plant-wide control approaches and control structure design

We welcome especially contributions in which optimization-based methods have been applied in industrial or pilot systems.

Prof. Dr. Johannes Jäschke
Guest Editor

Manuscript Submission Information

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