Cooperative distributed stochastic MPC for systems with state estimation and coupled probabilistic constraints

DOI10.1016/j.automatica.2015.07.025zbMath1327.93427OpenAlexW1126510675MaRDI QIDQ900656

Li Dai, Mark Cannon, Yuanqing Xia, Basil Kouvaritakis, Yulong Gao

Publication date: 22 December 2015

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2015.07.025

zbMATH Keywords

state estimationdistributed controlstochastic systemsmodel predictive control (MPC)probabilistic constraints

Mathematics Subject Classification ID

Related Items (10)

Robust MPC for tracking constrained unicycle robots with additive disturbances ⋮ Event-triggered robust distributed nonlinear model predictive control using contraction theory ⋮ Online learning based risk-averse stochastic MPC of constrained linear uncertain systems ⋮ Linear quadratic optimal consensus of discrete-time multi-agent systems with optimal steady state: a distributed model predictive control approach ⋮ Adaptive neural-network sliding mode cascade architecture of longitudinal tracking control for unmanned vehicles ⋮ Distributed stochastic model predictive control for cyber-physical systems with multiple state delays and probabilistic saturation constraints ⋮ Distributed model predictive control of positive Markov jump systems ⋮ Scalable distributed model predictive control for constrained systems ⋮ Robust distributed model predictive control of linear systems: analysis and synthesis ⋮ MPC-based defense strategy for distributed networked control systems under DoS attacks

Cites Work

• Stochastic tube MPC with state estimation
• Explicit use of probabilistic distributions in linear predictive control
• Decentralized receding horizon control for large scale dynamically decoupled systems
• A probabilistically constrained model predictive controller
• Robust model predictive control of constrained linear systems with bounded disturbances
• Incorporating state estimation into model predictive control and its application to network traffic control
• Cooperative distributed MPC of linear systems with coupled constraints
• Distributed RHC for Tracking and Formation of Nonholonomic Multi-Vehicle Systems
• Distributed model predictive control of linear systems with persistent disturbances
• Robust distributed model predictive control
• Linear systems with state and control constraints: the theory and application of maximal output admissible sets
• Stochastic Receding Horizon Control of Constrained Linear Systems With State and Control Multiplicative Noise
• Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty
• Systems with persistent disturbances: Predictive control with restricted constraints

This page was built for publication: Cooperative distributed stochastic MPC for systems with state estimation and coupled probabilistic constraints