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20192023
most citedBenchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints

6 citations · 10 across the 10 of their papers we have counts for

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Showing 2022 · eess.SYShow all

6 papers · 2 filters

eess.SY2022★ 6 cited

Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints

David Stenger, Dirk Abel

Controller tuning based on black-box optimization allows to automatically tune performance-critical parameters w.r.t. mostly arbitrary high-level closed-loop control objectives. Ho…

eess.SY2022

Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing

Ahmed Elkhashap, Dirk Abel

In this contribution, a novel Reduced Order Model (ROM) formulation of the grey-box model proposed in Elkhashap et al. (2020a) for the pharmaceutical continuous vibrated fluid bed…

eess.SY2022

Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle

David Stenger, Maximilian Nitsch, Dirk Abel

The performance of a guidance, navigation and control (GNC) system of an autonomous underwater vehicle (AUV) heavily depends on the correct tuning of its parameters. Our objective…

eess.SY2022

Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines

Armin Norouzi, Saeid Shahpouri, David Gordon +6

The high thermal efficiency and reliability of the compression-ignition engine makes it the first choice for many applications. For this to continue, a reduction of the pollutant e…

eess.SY2022★ 3 cited

Deep Learning based Model Predictive Control for Compression Ignition Engines

Armin Norouzi, Saeid Shahpouri, David Gordon +6

Machine learning (ML) and a nonlinear model predictive controller (NMPC) are used in this paper to minimize the emissions and fuel consumption of a compression ignition engine. In…

eess.SY2022

Model Order Reduction of The Time-Dependent Advection-Diffusion-Reaction Equation with Time-Varying Coefficients: Application to Real-Time Water Quality Monitoring

Ahmed Elkhashap, Dirk Abel

Advection-Diffusion-Reaction (ADR) Partial Differential Equations (PDEs) appear in a wide spectrum of applications such as chemical reactors, concentration flows, and biological sy…