Adaptive Decentralized Event-triggered Tracking Control for Large-scale Strongly Interconnected Nonlinear System with Global Performance

Robust and quantized repetitive tracking control for fractional‐order fuzzy large‐scale systems

“…Remark Note that some existing controller design methods (state‐feedback, adaptivity, finite‐time, $$$ {H}_{\infty } $$$, sampled‐data, guaranteed cost) were developed for LSSs in References 3,8,10,12,13,16,17, LSSs with fuzzy model in References 24–29, Fuzzy LSSs with input‐quantization in References 47–51, Fuzzy LSFOSs with estimation based controller in References 4,30–39, the disturbance rejection tracking control (RC,MRC) for nonlinear systems in References 40,41,43,44 and Fuzzy LSFOSs for disturbance rejection/tracking controller in References 41,54. In addition, this article discussed the disturbance rejection‐based MRC for Fuzzy LSFOSs with input‐quantizer and $$$ {H}_{\infty } $$$ performance index.…”

“…Also, the advantage of this control strategy is that it can be used to larger numbers of subsystems without the expense of networks communications 9 . Decentralized control protocol together with Lyapunov Krasovskii functional are developed, by designing the adaptive fixed‐time tracking control together with fuzzy model for nonlinear high‐order LSSs with unknown nonlinearities in Ma et al, 10 backstepping technique for nonstrict feedback nonlinear large‐scale (L‐S) with unmodeled dynamics in Bi et al 11 and asymptotic stability vi a $$$ {H}_{\infty } $$$ index for switched interconnected LSSs in Yu et al 12 Moreover, the tracking and stabilization of nonlinear LSSs have been actively carried in References 13–17 via decentralized control scheme.…”

Output regulation for time–delayed Takagi–Sugeno fuzzy model with networked control system

“…In the same consequences, tracking the desired signal is imperative in control of non-linear systems. Since last decade, numerous methods have been developed [24,38,47]. Based upon the previous research the regulation theory attained significant attention to design the controllers to track the desired signal along with the disturbance [34].…”