Managing quality-of-control and requirement-of-bandwidth in networked control systems via fuzzy bandwidth scheduling

Abstract

There is an unavoidable tradeoff between the control performance and the quality of service in networked control systems with resource constraints. To address the impact of network resources availability on requirement of bandwidth (RoB) and quality of control (QoC), an intelligent control approach to dynamic bandwidth management, namely fuzzy bandwidth management, is proposed based on fuzzy logic control technique. In order to guarantee the system's stability, the lower and upper bound of the assignable bandwidth are evaluated in terms of linear matrix inequalities and the resource constraints, respectively. In addition, the normalizable criterions of QoC and RoB are also defined, which can estimate the performance of the whole networked control systems. Preliminary simulations are carried out to highlight the merits of the proposed approach. It is argued that the proposed approach can save significant bandwidth and simultaneously improve overall control performance in comparison with the fixed bandwidth allocation and optimal bandwidth allocation.Keywords: Fuzzy bandwidth management, networked control systems, quality of control, requirement of bandwidth.

A bandwidth allocation scheme in fieldbuses

“…It can also be implemented in the CAN protocol operated on a CSMA/NBA mechanism. Recently, the use of Ethernet-based industrial network systems has become widespread in manufacturing and process control industries [17,18]. Most industrial Ethernets have adopted switch-based communication technology.…”

“…Ji and Kim [17] presented a co-design methodology of dynamic optimal bandwidth allocation and adaptive control for networked control systems to optimize overall control performance and reduce total network-bandwidth usage. Li, Wang and Jiang [18] proposed a fuzzy logic control based bandwidth management scheme to address the impact of network resources availability on requirement of bandwidth and quality of control. This paper reviews a bandwidth allocation scheme (BAS) that is applicable to many different kinds of fieldbus protocols.…”

An approach based on an adaptive multi-rate smith predictor and gain scheduling for a networked control system: Implementation over Profibus-DP

“…For example, in [15] a robust approach is considered, and in [16] linear matrix inequalities are used.…”

A co-design approach for bilateral teleoperation over hybrid network

“…Fuzzy inference system (FIS) is used in many applications related to QoS evaluation, handoff process, bandwidth control as in [19], [20] and [21]. The sugeno FIS is preferred in online decision due to its simplicity and efficiency.…”