Optimal parameter estimation of dynamical systems using direct transcription methods

DOI10.1080/17415970500104499zbMath1194.93050OpenAlexW2064437821MaRDI QIDQ3588245

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Publication date: 10 September 2010

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415970500104499

zbMATH Keywords

parameter estimationnonlinear programmingcollocationdirect transcription

Mathematics Subject Classification ID

System identification (93B30)

Related Items (2)

Optimal terrain-following for towed-aerial-cable sensors ⋮ Uncertainty estimation in equality-constrained MAP and maximum likelihood estimation with applications to system identification and state estimation

Uses Software

• SNOPT
• OTIS

Cites Work

• Optimal estimation of parameters of dynamical systems by neural network collocation method
• A sparse nonlinear optimization algorithm
• On the use of constraints in least squares estimation and control
• Parameter estimation in dynamic systems
• Direct trajectory optimization using nonlinear programming and collocation
• Discrete approximations to optimal trajectories using direct transcription and nonlinear programming
• Large Scale Parameter Estimation Using Sparse Nonlinear Programming Methods
• SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
• The pseudospectral Legendre method for discretizing optimal control problems
• Direct optimization using collocation based on high-order Gauss-Lobatto quadrature rules

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