The event-triggered impulsive control (ETIC) problem is studied for stochastic networked control systems (NCSs) under random cyber attacks. The random cyber-attacks model is proposed to integrate denial-of-service (DoS) attacks and deception attacks into a unified framework by means of two independent Bernoulli random sequences. In ETIC systems, the impulsive control time sequence is generated by the event-triggered mechanism (ETM). Both continuous ETM and periodic ETM are developed by continuous measuring and periodic sampling, respectively. In order to exclude the Zeno behavior, an easy and effective method is provided to choose the waiting time of continuous ETM and the sampling period of periodic ETM. According to the proposed ETMs, sufficient conditions of the mean-square exponential stability are derived for stochastic NCSs. An example of Chua’s circuits is given to explain our ETIC schemes.

We study the stabilization problem for nonlinear stochastic systems via an event-triggered impulsive control (ETIC) scheme, where the impulsive control time sequence is generated by the event-triggered mechanism (ETM). Both continuous ETM and periodic ETM are developed by continuous measuring and periodic sampling, respectively. The continuous ETM with time regularization is proposed to exclude the Zeno behavior. The upper bound of the sampling period is given for the periodic ETM. By means of the continuous ETM and periodic ETM, sufficient conditions are given to guarantee the $p$ th moment uniform stability and the $p$ th moment exponential stability of related systems. Moreover, LMI-based conditions of exponential stability in the mean square are established for linear stochastic systems under ETIC. Finally, two examples are presented to illustrate the proposed ETIC schemes, in which an example of the consensus of linear stochastic multiagent systems is considered.

This paper studies the decentralized adaptive fuzzy tracking control problem for a class of large-scale interconnected uncertain systems while considering faults and denial-of-service (DoS) attack. It's assumed that nonlinear term, interconnected term, actuator faults coefficients and sensor faults coefficients are unknown. Thus fuzzy logic system (FLS) and adaptive method are utilized to deal with these unknown terms. Backstepping and dynamic surface control (DSC) technique are used in control design procedure and a new algorithm is proposed to obtain a switching observer gain for tracking problems with faults and cyber-attack. It turns out that the designed controller can compensate the effect of faults and uncertainties, all the signals in close-loop systems are bounded, and the tracking error converges to a small neighborhood of origin. Finally, a simulation example is given to prove the feasibility and effectiveness of the theoretical findings in this paper.

Summary: Quercus dentata Thunb., a dominant forest tree species in northern China, has significant ecological and ornamental value due to its adaptability and beautiful autumn coloration, with color changes from green to yellow into red resulting from the autumnal shifts in leaf pigmentation. However, the key genes and molecular regulatory mechanisms for leaf color transition remain to be investigated. First, we presented a high‐quality chromosome‐scale assembly for Q. dentata. This 893.54 Mb sized genome (contig N50 = 4.21 Mb, scaffold N50 = 75.55 Mb; 2n = 24) harbors 31 584 protein‐coding genes. Second, our metabolome analyses uncovered pelargonidin‐3‐O‐glucoside, cyanidin‐3‐O‐arabinoside, and cyanidin‐3‐O‐glucoside as the main pigments involved in leaf color transition. Third, gene co‐expression further identified the MYB‐bHLH‐WD40 (MBW) transcription activation complex as central to anthocyanin biosynthesis regulation. Notably, transcription factor (TF) QdNAC (QD08G038820) was highly co‐expressed with this MBW complex and may regulate anthocyanin accumulation and chlorophyll degradation during leaf senescence through direct interaction with another TF, QdMYB (QD01G020890), as revealed by our further protein–protein and DNA–protein interaction assays. Our high‐quality genome assembly, metabolome, and transcriptome resources further enrich Quercus genomics and will facilitate upcoming exploration of ornamental values and environmental adaptability in this important genus.