Energy-aware robust model predictive control based on noisy wireless sensors
From MaRDI portal
Publication:445028
DOI10.1016/j.automatica.2011.09.022zbMath1244.93040OpenAlexW2011416048MaRDI QIDQ445028
Daniele Bernardini, Alberto Bemporad
Publication date: 24 August 2012
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://www.openaccessrepository.it/record/22456
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (5)
Robust MPC for disturbed nonlinear discrete-time systems via a composite self-triggered scheme ⋮ Energy-aware robust model predictive control based on noisy wireless sensors ⋮ Event-triggered distributed predictive control for asynchronous coordination of multi-agent systems ⋮ Output-feedback controller design of a wireless networked control system with packet loss and time delay ⋮ Resource-aware MPC for constrained nonlinear systems: a self-triggered control approach
Cites Work
- Unnamed Item
- Energy-aware robust model predictive control based on noisy wireless sensors
- Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
- Theory and computation of disturbance invariant sets for discrete-time linear systems
- Control of systems integrating logic, dynamics, and constraints
- Set invariance in control
- Model predictive control. With a foreword by M. J. Grimble and M. A. Johnson
- On input-to-state stability of min-max nonlinear model predictive control
- Model Predictive Control with Delay Compensation for Air-to-Fuel Ratio Control
- A Survey on Explicit Model Predictive Control
- Min-max feedback model predictive control for constrained linear systems
- Min-max control of constrained uncertain discrete-time linear systems
- Guest Editorial Special Issue on Networked Control Systems
- Set-theoretic methods in control
- A survey of energy efficient network protocols for wireless networks
- The explicit linear quadratic regulator for constrained systems
This page was built for publication: Energy-aware robust model predictive control based on noisy wireless sensors