Lipschitz Stability in Discretized Optimal Control with Application to SQP
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Publication:4614938
DOI10.1137/18M1188483zbMath1407.49041OpenAlexW2912452729MaRDI QIDQ4614938
Marco M. Nicotra, Asen L. Dontchev, Mikhail I. Krastanov, Ilya V. Kolmanovsky, Vladimir M. Veliov
Publication date: 1 February 2019
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/18m1188483
Sensitivity, stability, well-posedness (49K40) Newton-type methods (49M15) Applications of optimal control and differential games (49N90) Discrete approximations in optimal control (49M25)
Related Items (4)
Stability for semilinear parabolic optimal control problems with respect to initial data ⋮ Time-distributed optimization for real-time model predictive control: stability, robustness, and constraint satisfaction ⋮ Approximating optimal finite horizon feedback by model predictive control ⋮ Nonlinear model predictive control with aggregated constraints
Uses Software
Cites Work
- Runge-Kutta methods in optimal control and the transformed adjoint system
- Approximating optimal finite horizon feedback by model predictive control
- Nonlinear model predictive control. Theory and algorithms
- Uniform Convergence and Mesh Independence of Newton's Method for Discretized Variational Problems
- Strongly Regular Generalized Equations
- Variational Analysis
- Second-Order Runge--Kutta Approximations in Control Constrained Optimal Control
- Metrically Regular Differential Generalized Equations
- Lipschitzian Stability in Nonlinear Control and Optimization
- Implicit Functions and Solution Mappings
- Multiplier Methods for Nonlinear Optimal Control
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