A fixed-point iteration scheme for real-time model predictive control
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Publication:445951
DOI10.1016/j.automatica.2012.03.023zbMath1246.93042OpenAlexW2136574592MaRDI QIDQ445951
Publication date: 27 August 2012
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2012.03.023
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Related Items (5)
Symplectic method based on generating function for receding horizon control of linear time-varying systems ⋮ Time-distributed optimization for real-time model predictive control: stability, robustness, and constraint satisfaction ⋮ Stability analysis of neutral stochastic delay differential equations by a generalisation of Banach's contraction principle ⋮ A design technique for fast sampled-data nonlinear model predictive control with convergence and stability results ⋮ A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)
Cites Work
- Nonlinear model predictive control. Theory and algorithms.
- A continuation/GMRES method for fast computation of nonlinear receding horizon control
- Constrained model predictive control: Stability and optimality
- Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
- Robust receding horizon control of constrained nonlinear systems
- Suboptimal model predictive control (feasibility implies stability)
- Contractive model predictive control for constrained nonlinear systems
- Unconstrained receding-horizon control of nonlinear systems
- Stability and Incremental Improvement of Suboptimal MPC Without Terminal Constraints
- An efficient sequential linear quadratic algorithm for solving nonlinear optimal control problems
- On the stability of constrained MPC without terminal constraint
- A Real-Time Framework for Model-Predictive Control of Continuous-Time Nonlinear Systems
- Efficient MPC optimization using Pontryagin's minimum principle
- A Note on a Functional Inequality
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