scholarly journals Output-Based Event-Triggered Model Predictive Control for Networked Control Systems * *The research works presented here have been partly supported by the German Ministry for Economic Affairs and Energy, project “Net-Control”, funding no. 03ET1278C.

2017 ◽  
Vol 50 (1) ◽  
pp. 8951-8956
Author(s):  
Felix Berkel ◽  
Benjamin Watkins ◽  
Steven Liu ◽  
Daniel Görges
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Networked Control ◽  
Event Triggered

Event-triggered robust model predictive control for Lipschitz nonlinear networked control systems subject to communication delays

2020 ◽  
pp. 014233122096905
Author(s):  
Saeid Ghorbani ◽  
Ali Akbar Safavi ◽  
S. Vahid Naghavi
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Networked Control ◽  
Robust Model Predictive Control ◽  
Robust Model ◽  
Nonlinear Networked Control Systems ◽  
Event Triggering ◽  
Event Triggered

In this paper, the problem of event-triggered robust model predictive control (MPC) was examined for a class of Lipchitz nonlinear networked control systems (NCS) with network-induced delays and subject to external disturbances. An event-triggering scheme for a continuous-time NCS was proposed, which reduced the communication traffic and computational burden of the MPC algorithm simultaneously. In comparison with the existing event-triggered nonlinear MPC (NMPC) approaches, the controller in this paper was designed as a state feedback control law, which minimized a “worst-case” performance index over an infinite horizon subject to constraints on the control input. The controller and event generator parameters were developed as a convex optimization problem, encompassing some linear matrix inequalities (LMIs). Simulation results showed that the proposed event-triggering NMPC scheme preserved closed-loop performance while reducing the communication rate and the computational time.

scholarly journals A Model Predictive Control Approach for Stochastic Networked Control Systems

2010 ◽  
Vol 43 (19) ◽  
pp. 7-12 ◽  
Author(s):  
D. Bernardini ◽  
M.C.F. Donkers ◽  
A. Bemporad ◽  
W.P.M.H. Heemels
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Networked Control ◽  
Control Approach
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