A stable adaptive controller design approach via neuro-fuzzy (NF) dynamic inversion is developed for the trajectory tracking of the robotic manipulator which can be identified in the Takagi-Sugeno (T-S) fuzzy framewor...
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ISBN:
(纸本)0780388739
A stable adaptive controller design approach via neuro-fuzzy (NF) dynamic inversion is developed for the trajectory tracking of the robotic manipulator which can be identified in the Takagi-Sugeno (T-S) fuzzy framework with both structure and parameters identified through input/output (I/O) data from the robot control process. The dynamic NF (DNF) system aims to approximate the whole robot dynamics rather than its nonlinear components as is done by static neural networks (NNs). The dynamic inversion introduced for the controller design is constructed by the DNF system and will help the NF controller design because it does not require the assumption that the robot states should be on a compact set. The system stability and the convergence of tracking errors are guaranteed by Lyapunov stability theory, and the learning algorithm for the DNF system is obtained thereby. Finally, simulation studies are carried out to show the viability and effectiveness of the proposed control approach.
We consider the problem of tracking the output of an unmanned tandem helicopter. We investigate the dynamic model and analyze the exact linearization first. We present approximate linearization to design the controlle...
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We consider the problem of tracking the output of an unmanned tandem helicopter. We investigate the dynamic model and analyze the exact linearization first. We present approximate linearization to design the controller for output tracking based on dynamic extension method. Simulation results show the effectiveness of the method.
Pseudo control compensation based neural network dynamic inversion control is applied in super-maneuverable flight control. The base control law is designed in nonlinear dynamic inversion; neural networks are used to ...
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ISBN:
(纸本)0780382730
Pseudo control compensation based neural network dynamic inversion control is applied in super-maneuverable flight control. The base control law is designed in nonlinear dynamic inversion; neural networks are used to adaptively cancel inversion error. Pseudo control compensator is designed to cancel the interaction between actuator and adaptive neural networks. Simulations show that limitation that needs accurate mathematical model in dynamic inversion method can be released. The actuator that affects the adaptive factor is removed in this control structure and the robustness of the whole system is greatly improved.
This paper deals with H/sub 2/ guaranteed cost (GC) fuzzy output feedback control problem for missile altitude control system. First, the Takagi-Sugeno fuzzy model is employed to represent the dynamics of the missile ...
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ISBN:
(纸本)0780385675
This paper deals with H/sub 2/ guaranteed cost (GC) fuzzy output feedback control problem for missile altitude control system. First, the Takagi-Sugeno fuzzy model is employed to represent the dynamics of the missile altitude control system. Next, we present necessary and sufficient conditions for the existence of a quadratically stabilizing fuzzy output feedback controller which also assure H/sub 2/ guaranteed cost performance on a fuzzy dynamic system where the uncertainty is of the norm bounded type. The conditions are presented as a collection of linear matrix inequalities. A simulation on the missile altitude system is given to illustrate the effectiveness of the proposed design method.
In this paper, analysis to the temperature rise in three ULSI interconnect structures of 50nm node technology have been carried out by using the compact quasi-analytic model we developed. Although the error in analyzi...
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The evolution of surface morphology of Cu-W thin films with deposition time on silicon wafers was studied by discrete wavelet transform (DWT). A strategy based on wavelet transform to describe surface morphology of th...
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The evolution of surface morphology of Cu-W thin films with deposition time on silicon wafers was studied by discrete wavelet transform (DWT). A strategy based on wavelet transform to describe surface morphology of thin films was presented. The results showed that the surface morphology of thin films was unstable until the sputtering time exceeds 10 min. The surface morphology variations of different thin films could be distinguished primarily by high frequency signals.
Extracting and using goal orderings is a way to improve efficiencies of planning algorithms. During extracting goal orderings, some of existing methods can only deal with atomic goals of a specific problem that will i...
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ISBN:
(纸本)0780382730
Extracting and using goal orderings is a way to improve efficiencies of planning algorithms. During extracting goal orderings, some of existing methods can only deal with atomic goals of a specific problem that will introduce too much redundant work, and the others deal with predicates of a planning domain that can not extract enough goal orderings. The paper addressed an abstract method to extract goal orderings. The method used unification to identify different instantiations of a predicate when dealing with predicates. It can not only reduce redundant work during extracting, but also get enough goal orderings.
Cu-Zr/ZrN films were grown on Si(111) wafer by magnetron sputtering. The films were characterized with X-ray diffraction (XRD) and scanning electron microscopy (SEM). Its resistivity was studied from application consi...
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Cu-Zr/ZrN films were grown on Si(111) wafer by magnetron sputtering. The films were characterized with X-ray diffraction (XRD) and scanning electron microscopy (SEM). Its resistivity was studied from application considerations. We conclude that when the film is used as a diffusion barrier, many features, including low contact resistivity, well defined interface and good thermal stability, should be considered in film growth.
Copper film was grown by DC pulsed unbalance magnetron sputtering (UBMS) on ZrN diffusion barrier film, previously deposited by RF reactive magnetron sputtering on Si wafer surface. The Cu films were then characterize...
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Copper film was grown by DC pulsed unbalance magnetron sputtering (UBMS) on ZrN diffusion barrier film, previously deposited by RF reactive magnetron sputtering on Si wafer surface. The Cu films were then characterized with X-ray diffraction (XRD), Auger electron spectroscopy (AES) and atomic force microscopy (AFM). The results show that UBMS-Cu film effectively restricts Cu diffusion into silicon and improves thermal stability of Cu/ZrN/Si system because of the high compactness of the Cu/ZrN layers.
Cu-Cr alloy films were deposited on different diffusion barrier layers with ion beam auxiliary co-sputtering that combined magnetron sputtering (MS) and ion beam sputtering (IBS). The rolling contact fatigue test was ...
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Cu-Cr alloy films were deposited on different diffusion barrier layers with ion beam auxiliary co-sputtering that combined magnetron sputtering (MS) and ion beam sputtering (IBS). The rolling contact fatigue test was used to evaluate the adhesion strength. We found that the diffusion barriers could improve the adhesion strength at the interface. When the CrN acted as diffusion barrier the adhesion strength was highest. The Cu-Cr alloy film with high bombarding energy had higher adhesion strength for the reason that the transition zone was wider.
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