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This paper presents a method that can achieve fast adaptation for a class of model-reference adaptive control systems. It is well known that standard model-reference adaptive control exhibits high-gain control behaviors when a large adaptive gain is used to achieve fast adaptation in order to reduce tracking error rapidly. High-gain control creates(More)
In the past several years there has been a lot of interest in the design of efficient autonomous intelligent controllers for Unmanned Aerial Vehicles (UAV). This is a highly complex and challenging problem since future UAVs will be expected to complete autonomously a wide variety of complex missions, and achieve performance comparable to that of manned(More)
In this paper effective Failure Detection, Identification and Reconfiguration (FDIR) algorithms are developed for a class of linearized aircraft models and second-order actuator dynamics. Assuming that the actuator dynamics are fast, a baseline controller is designed and, using the singular perturbation arguments, shown to achieve the control objective.(More)
—A systematic design procedure using state-feedback Certainty Equivalence Adaptive Control (CEAC) technique is developed for linear plants and a class of nonlinear plants with unmatched uncertainty. It is shown that a reduced order observer and adaptive laws with normalization in conjunction with the CEAC law result in a stable overall system in the case of(More)
In this paper the development and implementation of an Integrated Retrofit Reconfigurable Flight Control design for control effector damage compensation is presented. The proposed damage-adaptive control system has the capability of detecting and identifying flight-critical actuator failures and control effector damage, and rejecting the state-dependent(More)
In many practical situations uncertain plants are such that the unknown parameters do not affect the entire state of the system, but only some of the state variables. A question that arises in this context is the following: can a reduced-order adaptive observer be designed based only on the part of the dynamics affected by the uncertainty, such that, when(More)
In this paper an autonomous hierarchical architecture for controlling swarms of unmanned aerial vehicles (UAV) is investigated. Its purpose is to carry out complex missions involving Intelligence, Surveillance, and Reconnaissance (ISR), Suppression of Enemy Aerial Defenses (SEAD), Destruction of Enemy Aerial Defenses (DEAD), Close Air Support (CAS), and(More)