Hybrid-triggered Proportional-Integral tracking control for fuzzy model based networked control systems against disturbance and actuator fault

This work personifies the problem of attaining aspired state tracking outcomes along with fault tolerance and disturbance attenuation for non-linear networked control systems (NCSs) based on interval type-2 (IT2) fuzzy approach. In particular, these objectives are accomplished by deploying a improved extended state observer (IESO) based composite disturbance rejection and fault-tolerant hybrid-triggered proportional-integral (PI) tracking control algorithm. Especially, a hybrid-triggered PI tracking controller is configured by embodying the event as well as time-triggered actions in the integral part of the described PI tracking controller to enhance the overall efficiency of the network transmission. Subsequently, an IESO is put into action for simultaneous estimations of the actuator fault and lumped disturbances impacting the system. These estimations are then blended into the hybrid-triggered PI tracking control for realizing eminent state tracking performance. On top of that, by employing the Lyapunov procedure, the stability requirements for the proffered system are organized as linear matrix inequalities (LMIs). Successively, the gain matrices of the PI tracking controller and IESO are acquired by solving these stability constraints. Further, to substantiate the productivity of built controller, numerical outcomes are graphically visualized.