Event-triggered DOFF quantization controller design method under spoofing attack

Abstract

The invention discloses a method for designing an event-triggered DOFF quantization controller under spoofing attack. The method comprises the following steps of: A, establishing a T-S fuzzy object model, a discrete event trigger model and a logarithmic quantizer model; B, establishing a spoofing attack model and a DOFF quantization controller model, and establishing a closed-loop T-S fuzzy system augmentation model organically fusing spoofing attack, a discrete event trigger, a logarithm quantizer and network induced delay parameters; and C, designing a DOFF quantization controller design condition organically fusing spoofing attack, a discrete event trigger, a logarithmic quantizer and network induced delay parameters, solving a positive definite matrix and a gain matrix, and obtaining a DOFF quantization controller suitable for the T-S fuzzy system under the influence of the spoofing attack and the event trigger by using a threshold parameter. According to the method, the problem that the existing T-S fuzzy system cannot be stable under the influence of spoofing attack, data quantization and network induced delay can be solved.

Description

technical field [0001] The invention relates to the field of networked control systems, in particular to a method for designing an event-triggered dynamic output feedback fuzzy (dynamic output feedback fuzzy, DOFF) quantitative controller of a T-S (Takagi-Sugeno) fuzzy system under deception attacks. Background technique [0002] The networked control system introduces the shared communication network into the control closed loop. It has the advantages of high flexibility, low cost, and convenient installation and maintenance. It is widely used in smart grids, smart transportation and other fields. Networked control systems usually adopt a well-developed periodic sampling control strategy. In order to ensure system performance in the worst case, the sampling rate is usually set higher. However, the worst case rarely occurs in practice. The large amount of redundant data generated by the high sampling rate leads to the waste of limited system resources such as network bandwid...

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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for designing an event-triggered DOFF quantization controller under spoofing attacks, which can solve the problem that the existing T-S fuzzy system cannot be stable under the influence of spoofing attacks, data quantization and network-induced delay, and effectively save network bandwidth and other system-constrained resources, and can remove the assumption that the system state is completely measurable

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