Stochastic output feedback MPC with intermittent observations

Stochastic output feedback MPC with intermittent observations

This paper designs a model predictive control (MPC) law for constrained linear systems with stochastic additive disturbances and noisy measurements, minimising a discounted cost subject to a discounted expectation constraint. It is assumed that sensor data is lost with a known probability. Taking in...

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Bibliographic Details
Main Authors: Cannon, M. (Author), Goulart, P.J (Author), Yan, S. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Chance constraint
Chance constraints
Constraint Satisfaction
Convex optimisation
Convex optimization
Discounted costs
Feedback
Linear systems
Model predictive control
Model-predictive control
Optimal control systems
Output feedback
Output-feedback
Packet drops
Packet loss
Predictive control systems
Quadratic programming
Sensors data
Stochastic control systems
Stochastic models
Stochastic systems
Stochastics
Uncertainty
Uncertainty analysis
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