Abstract
This article proposes a switched adaptive resilient control method for missile autopilot systems subject to parametric uncertainties and unknown actuator failures. The nonlinear longitudinal dynamics of missiles are approximated by a piecewise linear system, based on which a computational effective adaptive fault-tolerant mechanism consisting of adaptive laws with a dwell-time constraint is developed. The merit of the proposed adaptive laws consists in integrating time-varying positive-definite matrices instead of constant ones, guaranteeing that the resulting Lyapunov function is decreasing at the switching instants. This decreasing property plays a crucial role in guaranteeing error-bounded tracking, by compensating for possible increase due to actuator failures. The stability guarantee and tracking performance are validated through simulations for missile autopilot design over a large range of operating conditions.
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