Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. I: mathematical modelling

DOI10.1016/j.mcm.2009.07.011zbMath1185.90221OpenAlexW2042094482MaRDI QIDQ970050

B. E. Eshmatov

Publication date: 8 May 2010

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2009.07.011

zbMATH Keywords

ride comfortvehicle suspensionhandlingdynamic-Qgradient-based mathematical optimisationsemi-active

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Application models in control theory (93C95)

Uses Software

• Matlab
• Adams

Cites Work

• Investigation of the applicability of the dynamic-Q optimisation algorithm to vehicle suspension design
• The dynamic-Q optimization method: an alternative to SQP?
• Optimisation of road vehicle passive suspension systems. I: Optimisation algorithm and vehicle model
• Optimisation of road vehicle passive suspension systems. II: Qualification and case study
• The LFOPC leap-frog algorithm for constrained optimization
• Sequential quadratic programming for large-scale nonlinear optimization
• Automatic differentiation of algorithms
• Application of genetic algorithms to the design optimization of an active vehicle suspension system
• Some advantages of stochastic methods in multicriteria optimization of multibody systems
• Gradient-based approximation methods applied to the optimal design of vehicle suspension systems using computational models with severe inherent noise

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