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This paper addresses a design of robust controller for a multi-functional remote weapon carrier, mainly including establishing a nonlinear/linear system model and designing a digital robust controller with convergent manifold, to control the weapon carrier to be satisfied the system stable requirements and precision positioning control. First, the nonlinear/linear parameter estimation is fulfilled...
This approach addresses an observer-based adaptive fuzzy sliding-mode guidance law design for missiles equipped with thrust vector control (TVC) and divert control system (DCS). The aim of the present work is to achieve bounded target interception under the 3 degree-of-freedom (DOF) control to improve the intercepting accuracy of the missile by narrowing the distance between the intercepting missile...
This paper presents a velocity driving control system of a powered wheelchair for considering the riding comfort in terms of sway suppression of the passenger. This control system aims to provide comfortable ride during the velocity control of wheelchair. To this end, a passenger model which consists of passenger's physical frame and seating condition is firstly derived for designing the comfort driving...
This approach presents a novel scheme based on fixed-manifold robust control for a step-down dc-dc converter, so that the described converter can generate a constant output voltage, which is lower than the input voltage, using closed-loop compensation while guaranteeing stability in a resistance load. The output phase trajectories, which are used to describe the system dynamics and to form a manifold,...
In this paper, an adaptive fuzzy sliding mode controller (AFSMC) is proposed for a linear induction motor (LIM) taking into account the longitudinal end effect and uncertainties including the friction force. The dynamic mathematical model of an indirect field-oriented LIM drive is firstly derived for controlling the LIM. On the basis of a backstepping control law, a sliding mode controller (SMC) embedded...
A novel online hybrid direct/indirect adaptive Petri fuzzy neural network (PFNN) controller with stare observer for a class of multi-input multi-output (MIMO) uncertain nonlinear systems is developed in the paper. By using the Lyapunov synthesis approach, the online observer-based tracking control law and the weight-update law of the adaptive hybrid intelligent controller are derived. According to...
When analyzing the traffic accidents in terms of predicting injury severity, past studies often use too many variables and thus lead to over fitting and complicate the interpretation of the analysis. By adopting feature selection technique, irrelevant and redundant features from a dataset will be filtered out such that high discrimination power and informative features will be provided. This paper...
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