Forecasting the future time series values from the past values plays important role in daily life. There are some techniques support for time series analysis such as statistics, Neural Network (NN), Fuzzy Logic (FL) a...
详细信息
Forecasting the future time series values from the past values plays important role in daily life. There are some techniques support for time series analysis such as statistics, Neural Network (NN), Fuzzy Logic (FL) and fusion NN and FL. However, there is lack of easy, free and visual tools for users to analysis time series data. In this paper we try to use Java program language to implement of Fuzzy Logic system using table lookup scheme to predict time series data. The results of our experiments show that our tool can give a high accuracy of prediction results. Since program is written in Java language so it can run across hardware and software platform and easily embed into website for user run through Internet.
We consider planning and implementation of fast motions for industrial manipulators constrained to a given geometric path. With such a problem formulation, which is quite reasonable for many standard operation scenari...
详细信息
ISBN:
(纸本)9781467363563
We consider planning and implementation of fast motions for industrial manipulators constrained to a given geometric path. With such a problem formulation, which is quite reasonable for many standard operation scenarios, it is intuitively clear that a feedback controller should be designed to achieve orbital stabilization of a time-optimal trajectory instead asymptotic. We propose an algorithm to convert an asymptotically stabilizing controller into an orbitally stabilizing one and check achievable performance in simulations and, more importantly, in experiments performed on a standard industrial robot ABB IRB 140 with the IRC5-system extended with an open control interface. It is verified that the proposed re-design allows significantly reduced deviations of the actual trajectories from the desired one at high speeds not only for a chosen base feedback design but also outperforming the state-of-the-art commercial implementation offered by ABB Robotics.
Hilbert-Huang Transform (HHT), proposed by N. E. Huang in 1998, is a novel algorithm for nonlinear and non-stationary signal processing. The key part of this method is decomposition the signal into finite number of In...
详细信息
Hilbert-Huang Transform (HHT), proposed by N. E. Huang in 1998, is a novel algorithm for nonlinear and non-stationary signal processing. The key part of this method is decomposition the signal into finite number of Intrinsic Mode Functions (IMF) which will meet the requirements of Hilbert Transform. In this part, the algorithm uses natural cubic spline to connect all local maxima and local minima to produce upper and lower envelope of the signal. However natural cubic spline which may lead overshoot and undershoot at intermediate point. In this paper we propose to apply constrained cubic spline into first part of the HHT to eliminate overshoot in upper and lower envelope. We also propose an improvement on Improved Slope Base Method (ISBM) to limit swing at the end points. The experiments showed that our proposals get better result than original proposal and speed up Empirical Mode Decomposition (EMD) process.
The paper presents a procedure for planning and controlling a team of identical mobile robots such that a set of target regions are reached. We consider a partitioned environment cluttered with a set of obstacles that...
ISBN:
(纸本)9781467347358
The paper presents a procedure for planning and controlling a team of identical mobile robots such that a set of target regions are reached. We consider a partitioned environment cluttered with a set of obstacles that randomly change their positions. Our approach abstracts both the control capabilities of robots and the information on obstacle locations into probabilistic discrete Petri net models, and it uses an online algorithm for planning and adjusting the sequences of regions the robots should traverse. At each iteration of the online algorithm we solve a linear programming problem that optimizes the robot paths by weighting the probabilities of following a sequence of partition regions and the steady-state probabilities of encountering obstacles along the resulted sequences. The approach is implemented as a fully automated Matlab package.
Distributed Real Time Systems (DRTS) are evolving to a higher level of complexity in terms of heterogeneity, dynamism and QoS constraints, as they must interact with an increasingly demanding environment. In an scenar...
详细信息
Bacteriorhodopsin (bR) is a light-sensitive protein which has a proton-pump function, and is found in the cell membrane of Halobacterium salinarum inhabiting the salt lake. Optical excitation of bR at an electrode-ele...
详细信息
Bacteriorhodopsin (bR) is a light-sensitive protein which has a proton-pump function, and is found in the cell membrane of Halobacterium salinarum inhabiting the salt lake. Optical excitation of bR at an electrode-electrolyte interface generates differential photocurrents while an incident light is turned on and off. This unique functional response is similar to that seen in retinal neurons. This paper describes the fabrication and evaluation of the dip-coated bR thin films, photocurrent characteristics, and biomimetic artificial retinas with the bR thin films.
This paper considers switching output feedback control of linear systems and variable-structure systems. Theory for stability analysis and design for a class of observer-based feedback control systems is presented. A ...
详细信息
We present in this paper a design method for two-dimensional two-channel sparse nonseparable FIR filter banks using transformation of variables. In a first phase the transformation function is designed in a least-squa...
详细信息
This paper addresses the path planning problem of a mobile robot based on linear temporal logic formulae over a set of regions of interest in the environment. The regions have fixed and known locations but have some d...
详细信息
This paper addresses the path planning problem of a mobile robot based on linear temporal logic formulae over a set of regions of interest in the environment. The regions have fixed and known locations but have some dynamic observations that can appear and disappear based on exponential probability density functions. The robot movement capabilities are modeled by a finite-state transition system. By drawing inspiration from temporal logic control for static environments, we find a run that has the greatest chance of satisfying the temporal logic specification. Then, we devise a supervising strategy for the robot motion along this run, which updates the execution based on the currently observed regions. The approach is supported by two simulations.
Two psychophysical experiments are conducted to identify masking effects for the perception of damping. The results indicate that the just noticeable difference for damping increases with the magnitude of additional m...
详细信息
暂无评论