Adaptive event-based robust passive fault tolerant control for nonlinear lateral stability of autonomous electric vehicles with asynchronous constraints

Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Integral-Based Event-Triggered H$_{\infty }$ Observer Considering Intravehicle Communications

“…Table II presents the parameters used in the design of the proposed observer. The LMIs (19) and (20) in Theorem 1 were solved offline by using the LMI toolbox in MATLAB to obtain the observer gains, L i , and the triggering parameters, Ω i , for the three cases: Simulation results obtained from the proposed integralbased event-triggered H ∞ observer were compared with those obtained by considering a traditional event-triggered mechanism as described in [37]. For the traditional event-triggered mechanism, the observer gains and triggering parameters are listed in Appendix B.…”

“…When driving a vehicle, both its longitudinal velocity, v x , and the cornering stiffnesses of the front/rear tires, C αf and C αr , can vary significantly. As both parameters have a strong influence on the lateral stability of the vehicle [19], [38], [39], these time-varying parameter uncertainties must be considered in the design of the observer. It is assumed that the velocity is measurable online in a polytope space.…”

“…where Finally, by assuming that the matrix P has the structure P = P 1 0 0 P 2 , and applying the transformation M i = P 1 L i , LMI (19) is obtained.…”

“…Since knowledge of the sideslip and roll angles is critical for vehicle handling and safety control, their estimation continues to arouse great interest, especially to deal with the limitations and problems that arise with the improvement of modern control technologies embedded in electronic control systems [19] involving networked communications and distributed computing. The continuous and rapid development of more advanced vehicular applications and devices implies the coexistence of different vehicular communication networks [20], [21], both intra-and intervehicle.…”

Online anomaly detection and remaining useful life prediction of rotating machinery based on cumulative summation features

“…This paper uses the ''LOESS'' method to smooth the energy curve. Details can be found in Iwaniec et al, 35 Zhao et al, 36 Li et al 37 Although the energy of vibration signals can reflect the real-time degradation status of the bearings. It cannot reflect the influence of the past state on the current state, that is, the historical relevance of the time series.…”