A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system,i n which the security-demanded transmissio...
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A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system,i n which the security-demanded transmission connections can switch smoothly among the multiple proxies by maint aining a coherent connection *** mechanism is transparent to application programs and can support th e building of *** the cooperation of some other security components,the mechanism guarantees the reso urce availab.lity and reliability of the end system against some attacks to the specific ports or hosts.
Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squar...
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Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squares methods is applied to ship steering control, as provides an efficient way for the improvement of ship steering control performance. It removes the defect that the conventional intelligent algorithm learning must be provided with some sample data. The parameters of controller are on-line learned and adjusted. Simulation results show that the ship course can be properly controlled in case of the disturbances of wave, wind, current. It is demonstrated that the proposed algorithm is a promising alternative to conventional autopilots.
In this paper, we consider the design of static output feedback H∞ controller for Takagi-Sugeno fuzzy systems subject to sensor nonlinearities. The control problem is reduced to a feasibility problem of bilinear matr...
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This paper deals with H2 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 altitu...
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This article analyzes Takagi-Sugeno (TS) fuzzy models in system identification for model-based controller design. TS fuzzy model-based controls have been proposed to overcome the long-standing criticism of lack of sta...
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This article analyzes Takagi-Sugeno (TS) fuzzy models in system identification for model-based controller design. TS fuzzy model-based controls have been proposed to overcome the long-standing criticism of lack of stability of fuzzy controls. However, the application of these controllers is limited as TS fuzzy models for controller design can only be obtained by transformation of nonlinear mathematical models. The proposal that fuzzy controls be used as control methods for uncertain systems has deviated from the original intention of fuzzy control. In this work, we investigate the possibility of extending TS fuzzy model-based control into uncertain systems. We show the limitation of these control methods and clarify the gap between fuzzy model based-control and fuzzy model identification. For the identification of constant-affine state-space models, a subspace identification algorithm is proposed to identify the true local dynamics with zero initial conditions.
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.
A composite controller is designed based on singular perturbation model of one-link flexible manipulators with external disturbances and parameters uncertainties, where a new adaptive sliding mode controller with H∞ ...
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A composite controller is designed based on singular perturbation model of one-link flexible manipulators with external disturbances and parameters uncertainties, where a new adaptive sliding mode controller with H∞ tracking performance is designed for the slow subsystem, the adaptive algorithm is used to estimate the unknown perturbation part of system parameters, then, the H∞ tracking design technique and the adaptive sliding mode control scheme are combined to derive the final control law. An optimal controller is designed to stabilize the fast subsystem. Numerical simulation results confirm that the proposed controller can not only attenuate effectively the effect of system uncertainties on tracking error, but also can reduce significantly chattering inherent in conventional sliding mode control. Also, tip vibration can be suppressed effectively.
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.
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.
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.
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