An engine control systems design for low emission vehicles by generalized predictive control based on identified model

2006 ◽  
Author(s):  
Seiji Hashimoto ◽  
Hiroyuki Okuda ◽  
Yasushi Okada ◽  
Shuichi Adachi ◽  
Shinji Niwa ◽  
...  
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Systems Design ◽  
Generalized Predictive Control ◽  
Engine Control ◽  
Low Emission ◽  
Control Systems Design

An engine control systems design for low-emission vehicles by generalized predictive control based on identified model

2009 ◽  
Vol 169 (3) ◽  
pp. 47-55
Author(s):  
Seiji Hashimoto ◽  
Hiroyuki Okuda ◽  
Yasushi Okada ◽  
Shuichi Adachi ◽  
Shinji Niwa ◽  
...  
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Systems Design ◽  
Generalized Predictive Control ◽  
Engine Control ◽  
Low Emission ◽  
Control Systems Design

scholarly journals NETWORKED ROBUST PREDICTIVE CONTROL SYSTEMS DESIGN WITH PACKET LOSS

2014 ◽  
Vol 65 (1) ◽  
pp. 3-11
Author(s):  
Quang T. Nguyen ◽  
Vojtech Veselý ◽  
Alena Kozáková ◽  
Pavel Pakshin
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Linear Systems ◽  
Predictive Control ◽  
Packet Loss ◽  
Controller Design ◽  
Systems Design ◽  
Stabilizing Controller ◽  
Control Systems Design ◽  
The Stability

Abstract The paper addresses problem of designing a robust output feedback model predictive control for uncertain linear systems over networks with packet-loss. The packet-loss process is arbitrary and bounded by the control horizon of model predictive control. Networked predictive control systems with packet loss are modeled as switched linear systems. This enables us to apply the theory of switched systems to establish the stability condition. The stabilizing controller design is based on sufficient robust stability conditions formulated as a solution of bilinear matrix inequality. Finally, a benchmark numerical example-double integrator is given to illustrate the effectiveness of the proposed method.

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