Real-time optimization of continuous processes via constraints adaptation
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This review discusses some issues related to the use of simulation in transportation analysis. Potential pitfalls are identified and discussed. An overview of some methods relevant to the use of an advanced simulation tool in an optimization context is als ...
Sense of touch belongs to one of the five Human Senses. Whereas blind people largely use feeling in everyday life, sighted person mainly focus on hearing and vision. However, haptic interface started being introduced in customers applications, such as smar ...
We derive an optimization framework for computing a view selection policy for streaming multi-view content over a bandwidth constrained channel. The optimization allows us to determine the decisions of sending the packetized data such that the end-to-end r ...
In dynamic optimization problems, the optimal input profiles are typically obtained using models that predict the system behavior. In practice, however, process models are often inaccurate, and on-line adaptation is required for appropriate prediction and ...
Real-time optimization (RTO) methods use measurements to offset the effect of uncertainty and drive the plant to optimality. Explicit RTO schemes, which are characterized by solving a static optimization problem repeatedly, typically require multiple itera ...
Optimization is important in science and engineering as a way of finding ”optimal” situations, designs or operating conditions. Optimization is typically performed on the basis of a mathematical model of the process under investigation. In practice, optimi ...
Reverse convex programming (RCP) represents an important class of global optimization problems consisting of concave cost and inequality constraint functions. While useful in many practical scenarios due to the frequent appearance of concave models, a more ...
Efficient Global Optimization (EGO) is an optimization strategy based on approximating functions, namely Gaussian process models. We show the application of this technique to a model calibration problem referred to a geomechanical application. By means of ...
This paper addresses an optimization based approach to follow a geometrically defined path by an unmanned helicopter. In particular, this approach extends reference model following concepts. Instead of using vehicle dynamics, the optimization is based on t ...
This deliverable describes the OpenIoT self-management and optimization framework, in terms of algorithms and mechanisms that it comprises as well as in terms of their implementation over the OpenIoT platform and associated cloud infrastructure. As a first ...