Data-based predictive control for networked non-linear systems with two-channel packet dropouts

Zhong-Hua Pang*, Donghua Zhou, Dehui Sun, G-P Liu

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid


This study is concerned with the data-based control of networked non-linear control systems with random packet dropouts in both the sensor-to-controller and controller-to-actuator channels. By taking advantage of the characteristics of networked control systems such as the packet-based transmission, timestamp technique, as well as smart sensor and actuator, a data-based networked predictive control (DBNPC) method is proposed to actively compensate for the two-channel packet dropouts, where only the input and output data of the non-linear plant are required. A sufficient condition for the stability of the closed-loop system is developed. Furthermore, the resulting DBNPC system can achieve a zero steady-state output tracking error for step commands. Finally, extensive simulation results on a networked non-linear system demonstrate the effectiveness of the proposed method.

Iaith wreiddiolSaesneg
Tudalennau (o-i)1154-1161
Nifer y tudalennau8
CyfnodolynIet control theory and applications
Rhif cyhoeddi7
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 23 Ebr 2015

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'Data-based predictive control for networked non-linear systems with two-channel packet dropouts'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn