Constrained multivariable extremum-seeking for online fuel-efficiency optimization of Diesel engines

This work presents a new method for online fuel-efficiency optimization of Diesel engines, using constrained extremum-seeking. A two-input optimization problem, which is suitable for extremum-seeking, is integrated into a tracking control system. As a result, both air-path and fuel-path actuators are used for tracking and extremum-seeking. A key...

Timing prediction for service-based applications mapped on linux-based multi-core platforms

We develop a model-based approach to predict timing of service-based software applications on Linux-based multi-core platforms for alternative mappings (affinity and priority settings). Service-based applications consist of communicating sequential (Linux) processes. These processes execute functions (also called services), but can only execute...

Multiconstraint Static Scheduling of Synchronous Dataflow Graphs Via Retiming and Unfolding

Synchronous dataflow graphs (SDFGs) are widely used to represent digital signal processing algorithms and streaming media applications. This paper presents several methods for binding and scheduling SDFGs on a multiprocessor platform. Exploring the state space generated by a self-timed execution (STE) of an SDFG, we present an exact method for...

Results of real-time production optimization of a maturing North Sea gas asset with production constraints

Operating maturing assets poses increasingly complex challenges to operators. Meeting hourly or daily production targets becomes more difficult when wells are more often shut in for e.g. water washes (against salt deposition) or solvent jobs (at asphaltenes deposition). Declining reservoir pressure in turn results in less margin to compensate...

Real-Time Optimization of a maturing North Sea gas asset with production constraints

As gas and oil fields mature their operation becomes increasingly more complex, due to complex process dynamics, like slugging, gas coning, water breakthrough, salt or hydrate deposition. Moreover these phenomena also lead to production constraints in the upstream facilities. This complexity asks for operator support in how to optimally operate...

Adaptive and real-time optimal control for adaptive optics systems

An optimal control method to reject turbulence-induced wavefront distortions in an Adaptive Optics system is discussed. Details of a data-driven control approach are presented where the emphasis is put on the estimation of the optimal predictor of the wavefront disturbance. Several algorithms capable of finding the predictor parameters from the...