Composite adaptive neural control for automatic carrier landing system with input saturation and output constraints
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Saturation (graph theory)
Three kinds of C/C composites with different matrix carbon were prepared, and then the ring-block sliding friction behavior was tested on M2000 tester against C/C ring with smooth lamination structure pyrocarbon matrix(SL).The results show that the coefficient of friction(COF) of the composite with SL(composite A) or resin carbon matrix(composite B) is lower than that of the composite with rough lamination structure pyrocarbon matrix(composite C). The COF of composite A and B decreases with the increase of load, while that of composite C increases at first and then decreases with the highest value of 0.145 at 100 N. The volume loss of composite A and B is close and remain stable when the load is higher than 80 N with the highest value is only 0.39 mm3. But the value loss of composite C increases up to the highest value of 1.47 mm3at 100 N and then remains some fluctuation. The COF of composite A can reach the stable value quickly while those of composite B and C still decrease after 5 hours' test. SEM images of worn surface show that some large film on composite A is peeled off, some dotted adhesive wear scar can be found on the worn surface of composite B. Abrasive worn is the main wear mechanism for tribological behavior of the three C/C composites.
Lamination
Matrix (chemical analysis)
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Teaching a subject on system identification and adaptive control to Master’s students is a challenging task. In view of providing a platform to achieve the teaching-learning on adaptive control effectively, this paper proposes a real-time robotic adaptive control experiment. The robotic system consists of flexible links which is subjected to varied payloads. The link flexure of this robot and other parameters conditions are uncertain thus necessitating an adaptive control to handle the payload variations. A simple regressor-based adaptive control is designed by linear parametric representation of a highly nonlinear and coupled dynamics this robot with flexible links (flexible robot). To reinforce the student’s concept of design, development, and implementation of an adaptive control, experiments were undertaken in real-time for different payloads. Attempts have been made to make the students’ understanding more clear how an adaptive controller performs well for situations with varied parameters which is not possible to obtain by a fixed gain controller.
Payload (computing)
Representation
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Spray pyrolysis
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Emphasis (telecommunications)
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Evidence for existence of composite copper/oxygen vacancy nanofilaments is presented. The composite conductive nanofilment (CF) is a serial resistive connection of Cu and Vo CFs forming a composite Vo/Cu CF where the Cu filament segment is formed first and Vo filament completes the composite CF. A composite CF has been also formed in reverse order as Cu/Vo. Both composite CFs, Vo/Cu and Cu/Vo, display Vform at considerable lower voltages than monolithic CFs.
Resistive touchscreen
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NTO and TNAZ are two important explosive materials. In the present study, 1:1 molar composite of them are investigated within the constraints of density functional theory at the level of B3LYP/6-31++G(d,p). Certain quantum chemical, physicochemical and spectral properties of the composite have been harvested and compared with the respective values of its components. The formation of composite is exothermic and favorable. The components in the composite undergo certain type of interaction to affect properties of each other.
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Quantum chemical
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Model Predictive Control
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A tutorial on robust control, adaptive control, robust adaptive control and adaptive control of robotic manipulators is presented in a systematic manner. Some limitations of the above methods are also illustrated. The relationships between the robust control, adaptive control and robust adaptive control are demonstrated. Basic information on the joint space control, operational space control and force control is also given. This tutorial summarizes the most advanced control techniques currently in use in a very simple manner, and applies to robotic manipulators, which can provide an informative guideline for students who have little knowledge of controls or who want to understand the adaptive control of robotics in a systematic way.
Robot manipulator
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Adaptive control has been recognized as an effective approach for mechanical robot manipulator controller design due to the presence of nonlinearties and uncertainties in robot dynamic models. Numerous results addressing different aspects of the control problem have been reported in the literature in recent years. The purpose of this paper is to present an indepth review of these existing developments whereby the robot adaptive control problems and solutions are systematically studied. The essential overall objective is to unify the various design ideas under a common frame work. Within this frame work, the various design techniques are catagorized into three groups; (i) model-reference adaptive control, (ii) Self tuning adaptive control, and (iii) Linear perturbation adaptive control. The design conditions and solutions of each technique are discussed, and the relationships between these techniques are examined. Finally some remarks on the effectiveness and implementation of adaptive controllers are presented.
Robot manipulator
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