Stochastic Model Predictive Control: Output-Feedback, Duality and Guaranteed Performance
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Summary
The aim is to develop an approach to Stochastic Model Predictive Control with guarantees and, from there, to seek a less onerous approximation, in particular the class of Partially Observable Markov Decision Processes.
- Type
- article
- Published
- 2017-06-02
- Cited by
- 25
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W2621300244
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:49319248
Keywords
Model predictive control, Control theory (sociology), Optimal control, Stochastic control, Dynamic programming
References
- Optimal control of systems
- Hidden Markov Models: Estimation and Control
- Persistently exciting model predictive control
- Stochastic optimal control : the discrete time case
- Stochastic Systems: Estimation, Identification, and Adaptive Control
- Classical potential theory and its probabilistic counterpart
- On Stability and Performance of Stochastic Predictive Control Techniques
- Nonlinear output-feedback model predictive control with moving horizon estimation
- Information space receding horizon control
- New approach to constrained predictive control with simultaneous model identification
- Chance‐constrained model predictive control
- Submersions and preimages of sets of measure zero
- MPC under the hood/sous le capot/unter der Haube
- Robust model predictive control: reflections and opportunities
- Robust output feedback model predictive control of constrained linear systems: Time varying case
- Robust output feedback model predictive control for linear systems via moving horizon estimation
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Error bounds for rolling horizon policies in discrete-time Markov control processes
- Incorporating state estimation into model predictive control and its application to network traffic control
- On the Infinite Horizon Performance of Receding Horizon Controllers
Cited by
- Particle Model Predictive Control: Tractable Stochastic Nonlinear Output-Feedback MPC
- Tractable dual optimal stochastic model predictive control: An example in healthcare
- Performance of Model Predictive Control of POMDPs
- Stochastic model predictive control - how does it work?
- Stochastic model predictive control with active uncertainty learning: A Survey on dual control
- Risk-aware model based control and applications on whey separation processes
- Tractable Stochastic Predictive Control for Partially Observable Markov Decision Processes with Time-Joint Chance Constraints
- Stochastic Predictive Control for Partially Observable Markov Decision Processes With Time-Joint Chance Constraints and Application to Autonomous Vehicle Control
- Convergence of Stochastic Nonlinear Systems and Implications for Stochastic Model-Predictive Control
- Stochastic predictive control under intermittent observations and unreliable actions
- Coupled methods of nonlinear estimation and control applicable to terrain-aided navigation. (Méthodes couplées de contrôle et d'estimation non linéaires adaptées à la navigation par corrélation de terrain)
- Pareto optimal control of the mean-field stochastic systems by adaptive dynamic programming algorithm.
- Optimization based input preview filtering for dynamical systems
- An ARX Model-Based Predictive Control of a Semi-Active Vehicle Suspension to Improve Passenger Comfort and Road-Holding
- Stochastic state-feedback control using homotopy optimization and particle filtering
- Event-triggered predictive control of nonlinear stochastic systems with output delay
- Nonlinear Stochastic Model Predictive Control: Existence, Measurability, and Stochastic Asymptotic Stability
- A fast equivalent scheme for robust constrained-input min–max finite horizon model predictive control via model-free critic-only Q-learning
- Ambiguity tube MPC
- On Using Feedback Control to Contend with Nature’s Randomness
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