Optimization of automotive valve train components with implicit filtering

DOI10.1023/A:1010071821464zbMath1077.93523MaRDI QIDQ1586413

J. W. David, M. Etheridge, O. J. Eslinger, T. D. Choi, Carl. T. Kelley

Publication date: 2000

Published in: Optimization and Engineering (Search for Journal in Brave)

zbMATH Keywords

mechanical systemsnoisy optimizationimplicit filteringautomotive valve trains

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Applications of mathematical programming (90C90) Application models in control theory (93C95) Control of mechanical systems (70Q05)

Related Items (11)

Optimization with hidden constraints and embedded Monte Carlo computations ⋮ Experimental and numerical verification of bifurcations and chaos in cam-follower impacting systems ⋮ Quantifying uncertainty with ensembles of surrogates for blackbox optimization ⋮ Binary, unrelaxable and hidden constraints in blackbox optimization ⋮ Two decades of blackbox optimization applications ⋮ A general mathematical framework for constrained mixed-variable blackbox optimization problems with meta and categorical variables ⋮ Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints ⋮ A new \texttt{DIRECT-GLh} algorithm for global optimization with hidden constraints ⋮ Derivative-free optimization methods ⋮ Dynamic improvements of static surrogates in direct search optimization ⋮ Convergence of the Implicit Filtering Method for Constrained Optimization of Noisy Functions

Uses Software

• LSODE
• KELLEY

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