Biased penalty function algorithms for optimal control problems with terminal restraints
From MaRDI portal
Publication:4102384
DOI10.1080/00207177608932852zbMath0335.49025OpenAlexW2034405339WikidataQ126244686 ScholiaQ126244686MaRDI QIDQ4102384
Publication date: 1976
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207177608932852
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Unnamed Item
- Unnamed Item
- A numerical study of augmented penalty function algorithms for terminally constrained optimal control problems
- Multiplier and gradient methods
- Modified quasilinearization and optimal initial choice of the multipliers. II: Optimal control problems
- Balance function for the optimal control problem
- Constrained optimization problems using multiplier methods
- On the method of multipliers for mathematical programming problems
- The Secant method for simultaneous nonlinear equations
- An extension of the predictive Min-H method to multivariable control
- Desensitizing algorithms for state-restrained optimal control assessments
- A predictive Min-H method to improve convergence to optimal solutions
- A Unifying Zero-Zone Function Approach to Restrained System Optimization
This page was built for publication: Biased penalty function algorithms for optimal control problems with terminal restraints