Non-fragile tracking control of constrained Waverider Vehicles with readjusting prescribed performance

Abstract The purpose of this article is to solve the fragile problem prescribed performance control (PPC) with application Waverider Vehicles (WVs). By problem, it denotes that tracking errors may break away from funnels if actuators are saturated. Firstly, we propose a new type readjusting which adaptively readjusts its such spurred transient and steady-state still guaranteed for in presence actuator saturation. Then, extend finite-time PPC into non-affine model WVs, ensuring always evolve within funnels. Furthermore, improved back-stepping procedure without derivation virtual law utilized develop non-fragile controllers, specially, there no need any fuzzy/neural approximation, avoiding computational burden problem. Finally, compared simulation results presented verify effectiveness advantage.