Interval Type-2 Fuzzy Model Predictive Control of Nonlinear Networked Control Systems

2015 ◽  
Vol 23 (6) ◽  
pp. 2317-2328 ◽  
Author(s):  
Qing Lu ◽  
Peng Shi ◽  
Hak-Keung Lam ◽  
Yuxin Zhao
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Nonlinear Networked Control Systems ◽  
Interval Type

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 Switching Fuzzy Guaranteed Cost Control for Nonlinear Networked Control Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Linqin Cai ◽  
Zhuo Yang ◽  
Jimin Yu ◽  
Zhenhua Zhang
Keyword(s):  
Control Systems ◽  
Cost Control ◽  
Controller Design ◽  
Networked Control Systems ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Guaranteed Cost Control ◽  
Networked Control ◽  
Nonlinear Networked Control Systems ◽  
Guaranteed Cost

This paper deals with the problem of guaranteed cost control for a class of nonlinear networked control systems (NCSs) with time-varying delay. A guaranteed cost controller design method is proposed to achieve the desired control performance based on the switched T-S fuzzy model. The switching mechanism is introduced to handle the uncertainties of NCSs. Based on Lyapunov functional approach, some sufficient conditions for the existence of state feedback robust guaranteed cost controller are presented. Simulation results show that the proposed method is effective to guarantee system’s global asymptotic stability and quality of service (QoS).

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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