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This paper concerns with the autonomous flight control system of an unmanned helicopter, which is combined with reinforcement learning based neuro-controller. We assume that PID (proportional-integral-derivative) type, linear feedback controller is predesigned and it can stabilize the system with limited performance. The conservative control behavior is improved by the synthesis of the poor feedback...
A lunar orbital capture guidance law is presented for a spacecraft with electrical propulsion system using Lyapunov feedback control approach. Construction of the Lyapunov function candidate is based on orbital elements which consist of angular momentum and eccentricity vectors. Unlike the orbit transfer problem between closed orbits, the lunar capture problem has two constraints. One thing is that...
The momentum transfer control of a rigid spacecraft with two momentum wheel actuators is investigated using feedback linearization technique focusing on very small nutation angle as a performance index. The equations of motion are transformed to a general linearized form by feedback linearization, including a guarantee of internal dynamics stability. It is known that the configuration of inertia properties...
An adaptive feedback linearization technique combined with neural networks is addressed for the momentum transfer control of a torque-free gyrostat with an attached spring-mass-dashpot damper. The input normalization neural network is used to adaptively compensate for the model error uncertainties of a nutation damper as an internal dynamics and avoid the unnecessary assumptions for stability analysis...
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