In this paper an approach to on-line ARMA parameter estimation based on a pseudo-linear regression and a QR matrix decomposition is developed. The algorithm has proven to be stable and has fast convergence properties if the unknown ARMA model satisses the strictly positive real condition. The derivation of the algorithm is straightforward and the computational complexity is O(N 2), however, fas...

In this paper, an input shaping method is proposed. This method only requires the system output, and doesn't need the system model information. In the application of this method, the basic form of an input shaping filter is first decided, then according to the form of the filter, the system output is decomposed into several weighted signals. Based on the decomposition, the least square method i...

We consider learning a sequence classifier without labeled data by using sequential output statistics. The problem is highly valuable since obtaining labels in training data is often costly, while the sequential output statistics (e.g., language models) could be obtained independently of input data and thus with low or no cost. To address the problem, we propose an unsupervised learning cost fu...

In this paper, a multi-objective optimization method is implemented by using of genetic algorithm techniques in order to determine optimum configuration of solar chimney power plant. The objective function which is simultaneously considered in the analysis is output power of the plant. Output power of the system is maximized. Design parameters of the considered plant include collector radius (R...

This paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of articial neural networks, can get a real input vector and calculates its corresponding fuzzy o...

The selection of an external site for a radioisotope determination of cardiac output is discussed with respect to satisfying the analytical conditions of the Stewart-Hamilton dilution equation. Examples of both single-chamber and multichamber recording are illustrated, along with a discussion of the difficulties of curve calibration and extrapola. tion from multiple sites. The development of a ...

Object detection technique generally could not localize facial features precisely because there is a tradeoff between detection robustness and facial feature support [2]. To address this problem, we propose a method to calculate probabilistic-like output for each pixel of image. This output describes the similarity of a patch of image to the training samples. The probabilistic-like output is af...

An iterative procedure is discussed to estimate poles and zeros of a rational transfer function from speech signals, which takes advantage of the individual solutions of AR and MA processes. Besides speech, analyses of test signals are also carried out, which lead to optimal results. In contrast to Prony’s and related methods, the algorithm don’t presuppose a pair of an input and output signal....

In this paper, we have presented a simple method in order to solve the pole placement problem of linear output feedback systems with state space models. Pole placement is a control method assigned to arbitrary closed loop poles by state or output feedback. In linear systems, poles have influence on stability, system response, transient response, and band width. Pole placement methods are used i...