Adaptive observer‐based control for fractional‐order chaotic MEMS system

This paper proposes an adaptive observer-based scheme to control fractional-order chaotic micro-electro-mechanical-systems (MEMS). The model of a system exhibits the dynamic behaviour physical more accurately than similar integer-order one. An considering unknown parameters is presented for micro-electro-mechanical-system. To handle existence parameters, law consists both estimated and also states that have been designed. First, observer designed estimate state variables. asymptotic convergence zero estimation error proved using Lyapunov scheme. After that, with as foundation, expanded closed-loop ensure its stability. evaluation proposed method shows efficacy via simulations two case studies.