Active vibration on offshore steel jacket platforms including delayed probabilistic actuator failures and resilient reliable sampled‐data control

This paper examines the unified dissipative performance of Offshore Steel Jacket Platforms (OSJPs) which include actuator failures and probabilistic delays, through a resilient reliable sampled-data controller. In detail, random variables fetching Bernoulli distribution are treated in particular for stochastic time-delays. By implementing Lyapunov–Krasovskii functions(LKF) together with Second Order Bessel–Legendre Inequality Technique (SOBLIT) an improved Reciprocally Convex (RCI) approach, provides impressive information about sampling to guarantee that OSJP is dissipative. The proposed criterion exhibited sort linear matrix inequalities (LMIs) highlights this study examine multi-dynamic interpretation extended dissipativity indices. advantage established methodology explored OSJPs existing results, carried out along control law, using their values experimental parameters.