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This paper investigates the disturbance observer (DOB)-based neural adaptive control on the longitudinal dynamics of a flexible hypersonic flight vehicle (HFV) in the presence of wind effects. The coupling effect between flexible states and rigid body, and the accessional angle of attack (AOA) due to wind, is modeled as unknown disturbance, where the nonlinear DOB is constructed using the neural approximation...
One of the major challenges in multi-robot exploration is to fuse the partial maps generated by individual robots into a consistent global map. We address 3D volumetric map fusion by extending the well known iterative closest point(ICP) algorithm to include probabilistic distance and surface information. In addition, the relative transformation is evaluated based on Mahalanobis distance and map dissimilarities...
This paper presents the flight path angle tracking control of the longitudinal dynamics of a generic hypersonic flight vehicle(HFV). Due to the use of digital computers and microprocessors for controls applications, the discrete hypersonic flight control is investigated. The altitude command is transformed into the flight path angle information. The back-stepping scheme is applied for the attitude...
A hybrid system is a complex system which consists of continuous and discrete dynamics, and it displays discrete behaviors, in addition to continuous behaviors. Due to mode changes in a hybrid system, the employment of constant threshold will cause false alarm or missed detection. The cause is that mode changes lead to different composition of component uncertainties. In this paper, in view of component...
In this paper, a dual-mode structure repetitive control (DMRC) is proposed to further improve the control performance of RC. Without additional complexity and loss of tracking accuracy, DMRC can achieve faster error convergence rate than conventional RC does. In the presence of nonlinear load disturbances and parameter uncertainties, an application example of DMRC controlled single-phase PWM inverter...
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