Approximate dynamic programming for constrained linear systems: a piecewise quadratic approximation approach
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Publication:6152577
DOI10.1016/j.automatica.2023.111456arXiv2205.10065MaRDI QIDQ6152577
Shengling Shi, Kanghui He, Ton J. J. van den Boom, Bart De Schutter
Publication date: 13 February 2024
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.10065
neural networksreinforcement learningmodel predictive controlvalue function approximationapproximate dynamic programmingconstrained linear quadratic regulation
Dynamic programming in optimal control and differential games (49L20) Linear-quadratic optimal control problems (49N10) Model predictive control (93B45)
Cites Work
- Unnamed Item
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- On constrained infinite-time linear quadratic optimal control
- Multilayer feedforward networks are universal approximators
- An algorithm for multi-parametric quadratic programming and explicit MPC solutions
- Large scale model predictive control with neural networks and primal active sets
- A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
- Predictive Control for Linear and Hybrid Systems
- Efficient On-Line Computation of Constrained Optimal Control
- Stochastic global optimization methods part II: Multi level methods
- Piecewise convex programs
- The explicit linear quadratic regulator for constrained systems