Voluntary defense strategy and quantized sample-data control for T-S fuzzy networked control systems with stochastic cyber-attacks and its application

• This paper proposes a T-S fuzzy NCSs with SCA and VDS, which designs a defense mechanism against CAs carries out by hackers. This has strong application and development potential in the field of network information security. • A novel TDPRC is developed, which fully taps the TVD information under this condition. In addition, an improved BLF is introduced to construct a new LKF, which better optimizes the performance of the algorithm. • A new quantized sample data and VDS controller under SCAs is achieved to ensure self-defense under the premise of CAs by hackers, and to ensure that the T-S fuzzy NCS with a better dissipation index is AS. This work studies mainly the dissipative analysis issue of T-S fuzzy networked control systems (NCSs) with stochastic cyber-attacks (SCAs) and voluntary defense strategy (VDS), which has strong application background in the network information security field. Firstly, a novel time-delay-product relaxed condition (TDPRC) is introduced, which fully excavates time-varying delay (TVD) information in the established condition. Secondly, an improved boundary circulatory function (BLF) is developRed, which takes advantage of the characteristics of the sampling moments. Here, when t ∈ [ t k , t k + 1 ) , we only require Q d ( t ) to be an asymmetric matrix in V c ( x ( t ) ) . Then, a novel criterion and the corresponding control algorithm are developed by using reciprocally convex matrix inequality (RCMI), proper integral inequalities, and the linear convex combination method (LCCM). Furthermore, a new quantized sample-data and VDS controller under SCAs is established, which can prove that T-S fuzzy NCSs under a better dissipative index are asymptotically stable (AS). Lastly, a numerical simulation of the dynamic equation of truck-trailer system to certify the theory’s feasibility and validity.