Regular Papers

International Journal of Control, Automation and Systems 2008; 6(4): 596-606

© The International Journal of Control, Automation, and Systems

Optimal Bandwidth Allocation and QoS-adaptive Control Co-design for Networked Control Systems

Kun Ji and Won-jong Kim*

Texas A&M University, USA

Abstract

In this paper, we present a co-design methodology of dynamic optimal network-bandwidth allocation (ONBA) and adaptive control for networked control systems (NCSs) to optimize overall control performance and reduce total network-bandwidth usage. The proposed dynamic co-design strategy integrates adaptive feedback control with real-time scheduling. As part of this co-design methodology, a “closed-loop” ONBA algorithm for NCSs with communication constraints is presented. Network-bandwidth is dynamically assigned to each control loop according to the quality of performance (QoP) information of each control loop. As another part of the co-design methodology, a network quality of service (QoS)-adaptive control design approach is also presented. The idea is based on calculating new control values with reference to the network QoS parameters such as time delays and packet losses measured online. Simulation results show that this co-design approach significantly improves overall control performance and utilizes less bandwidth compared to static strategies.

Keywords Adaptive control, networked control system, optimal bandwidth allocation, quality of service.

Article

Regular Papers

International Journal of Control, Automation and Systems 2008; 6(4): 596-606

Published online August 1, 2008

Copyright © The International Journal of Control, Automation, and Systems.

Optimal Bandwidth Allocation and QoS-adaptive Control Co-design for Networked Control Systems

Kun Ji and Won-jong Kim*

Texas A&M University, USA

Abstract

In this paper, we present a co-design methodology of dynamic optimal network-bandwidth allocation (ONBA) and adaptive control for networked control systems (NCSs) to optimize overall control performance and reduce total network-bandwidth usage. The proposed dynamic co-design strategy integrates adaptive feedback control with real-time scheduling. As part of this co-design methodology, a “closed-loop” ONBA algorithm for NCSs with communication constraints is presented. Network-bandwidth is dynamically assigned to each control loop according to the quality of performance (QoP) information of each control loop. As another part of the co-design methodology, a network quality of service (QoS)-adaptive control design approach is also presented. The idea is based on calculating new control values with reference to the network QoS parameters such as time delays and packet losses measured online. Simulation results show that this co-design approach significantly improves overall control performance and utilizes less bandwidth compared to static strategies.

Keywords: Adaptive control, networked control system, optimal bandwidth allocation, quality of service.

IJCAS
December 2024

Vol. 22, No. 12, pp. 3545~3811

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