A New Event-Triggered Adaptive Fixed-Time Control Design for Uncertain Nonlinear Systems.

This article investigates the problem of dynamic memory event-triggered (DMET) fixed-time tracking control within time-varying asymmetric constraints for nonaffine nonstrict-feedback uncertain nonlinear systems with unmodeled dynamics and unknown disturbances. The existing dynamic event-triggered control methods cannot handle the nonlinear systems with unmodeled dynamics and nonaffine inputs, which greatly limits the applicability of the strategy. To this end, a novel DMET adaptive fuzzy fixed-time control protocol is constructed based on the idea of command filtered backstepping, in which a new dynamic signal function is established to deal with the unmodeled dynamics and an improved DMET mechanism (DMETM) is designed to solve the problem of nonaffine inputs.

Event-Based Remote State Estimation for Nonlinear Systems: A Box Particle Filtering Method.

This article is concerned with the problem of event-based remote state estimation for nonlinear/non-Gaussian systems on a wireless network with limited bandwidth. To reduce unnecessary data transmissions, a novel event-triggering mechanism is developed by using the least-square technique. Based on this, an event-triggered box particle filtering scheme is designed to realize the minimum mean-squared error estimation at the remote estimator end, in which the posterior probability density functions are calculated separately according to the information of the event-triggered indicator to avoid the problem of excessive estimation error.

Event-Triggered Adaptive Output Feedback Control for a Class of Uncertain Nonlinear Systems With Actuator Failures.

This paper investigates the event-triggered adaptive output feedback control problem for a class of uncertain nonlinear systems in the presence of actuator failures and unknown control direction. By utilizing the adaptive backstepping technique, an event-based output feedback controller is developed together with a time-variant event-triggered rule. In this design, the radial basis function neural network algorithms are first introduced to identify the unknown terms of the systems.

Structural diversity directed by switchable coordination of substitute groups in a ternary Cu(II)-triazole-sulfoisophthalate self-assembly system: synthesis, crystal structures and magnetic behavior.

Four magnetic samples with different building blocks and dimensionalities, {[Cu(4)(atr)(2)(μ(3)-OH)(2)(sip)(2)]·4H(2)O}(n) (1), {[Cu(4)(atr)(2)(H(2)O)(8)(μ-OH)(2)(sip)(2)]·1.3CH(3)OH·0.7H(2)O}(n) (2), {[Cu(3)(atr)(4)(H(2)O)(2)(sip)(2)]·4H(2)O}(n) (3) and {[Cu(3)(atr)(4)(H(2)O)(2)(μ(3)-OH)(sip)(Hsip)]·2CH(3)OH·2.

[Inhibition of HLA-DRB1*0405 gene expression by siRNA].

Objective: To investigate the effects of small interfering RNA (siRNA) of HLA DRB1(*)0405 HLA-DRB1(*)0405 gene expression with plasmid-based siRNAs.

Method: Plasmid expressing HLA-DRB1(*)0405-renilla fusion protein-siCHECK-2/HLA-DRB1(*)0405, 6 different short hairpin RNAs (shRNAs) targeting 6 19 bp nucleotide sequences of HLA-DRB1(*)0405 (siRNA1 approximately 6), and one shRNA targeting the control non-specific sequence (siRNAC) were designed and constructed. Human embryonic kidney cells of the line 293 were cultured and co-transfected by lipids some with the plasmid siCHECK-2/HLA-DRB1(*)0405 and one specific shRNA expressing vector transiently, and cells without shRNA-transfection were used as negative controls.

[The study of inhibitory peptides on T cell activation in rheumatoid arthritis].

Objective: To study the inhibitory role of altered HA308 - 317 peptides in T cell responses in patients with rheumatoid arthritis (RA).

Methods: Peripheral blood mononuclear cells (PBMC) were obtained from 27 HLA-DRB1 positive RA patients. T cell responses to altered HA308-317 peptides were examined by using (3)H incorporation assay.