This paper considers control of a laboratory Quadruple Tank System (QTS) in its nonMinimum Phase mode. This System is a well- known laboratory process suitable to illustrate the concepts of multivariable control methods. The objective of this paper was to design a controller based on combination of the sliding-mode and the state-feedback control methods using fuzzy logic. The proposed method takes advantage of the fast transient response of the sliding-mode controller and the zero steady-state error of the state-feedback controller. In other words, the fuzzy System uses the SMC when the QTS is in the transient mode and utilizes the SFC when it is near the steady-state mode. Hence, the advantages of both controllers have been used simultaneously. The switching between these two controllers is continuous and smooth based on a few simple fuzzy rules. Stability analysis of the proposed method is presented based on the Lyapunov stability direct method. Experimental results confirmed effectiveness of the proposed method as compared with the stand-alone controllers, especially when there are uncertainties in the System parameters.

A Systematic analytical and experimental method of identification of Two Input Two Output (TITO) Quadruple-Tank Process (QTP), operated at non-Minimum Phase condition has been presented. Parameters of the process transfer function matrix have been validated on an experimental laboratory-scale physical setup of the process. Appropriate input-output pairing and interaction among control loops have been studied based on the Relative Gain Array (RGA) analysis. Inverted Decoupling Internal Model Control (IMC) based Proportional Integral Derivative (PID) controller has been designed for the TITO process. The effect of changes in controller tuning parameters on the closed-loop response for servo problem has been reported in terms of quantitative performance indices such as Integral of Square of Error (ISE), Integral of Absolute Error (IAE), percentage overshoot and offset. The simulation results have been compared with the literature.

This article studies a class of non-Minimum Phase nonlinear Systems with non-affine internal dynamics. The non-Minimum Phase feature, along with the non-affine internal dynamic, makes complexities in the process of controller design for this class of Systems. In this paper, a new approach is presented for designing the control law for these Systems. In the proposed method, the System’ s equations, considering the System’ s relative degree, are rewritten in the normal form. The design procedure of the control law, in the considered System, has three main steps. First, using the constraint optimization approach, the virtual control law is designed to stabilize the non-Minimum Phase and non-affine internal dynamics. Then, by designed virtual controller and combination with backstepping method, the proper sliding surface is extracted and, finally, based on the proposed sliding surface, a robust control law is designed to stabilize all of the System’ s state variables. The simulation results on the TORA System show the efficiency of the proposed approach in the robust stabilization of this class of nonlinear Systems.

Three methods are discussed for stabilizing Linear Predictive Controller: Infinite Horizon Control (based on Optimal Control), Finite Horizon Control with end-point constraint, and in the third approach, at first the process is stabilized and then controller is designed. In this paper, a new method based on Finite Horizon Control with end-point constraint is proposed; it enables us to control some processes with repetitive unstable pole (Minimum or Non-Minimum Phase) that can’t be stabilized with existing methods. In these processes, step response has a variety range and the dynamic matrix for long prediction horizon is singular and then existing method fails to have a stable process. We modify the cost function of GPC Controller by adding terms to penalize error variations as well error and adjust these parameters. We have examined the method described for a practical System (Stewart Platform) with 6 unstable poles and 5 unstable zeros.

This paper analyzes the Phase noise of the single loop second-order frequency fractional-N synthesizer. The aim of this paper is the reduction of the output Phase noise in the application of commercial and military subSystems as well as general local oscillators. The mathematical model of PLL based frequency synthesizer is analyzed to develop the Minimum Phase noise in the specific frequency range. An exact closed form relationship between bandwidth and output Phase noise of the frequency synthesizer as well as the bandwidth-Phase noise diagram is extracted by using this closed form relationship. From the analysis and simulation results, we observe that the System has Minimum Phase noise at a particular closed-loop bandwidth. To validate simulation results, the synthesizer is implemented on the low loss professional printed circuit board (PCB). Measurement setup is scheduled on spectrum analyzer 8562A in the span of 5MHz and 10MHz. These measurements show excellent results in output spectrum of the frequency synthesizer.

The traditional method for studying non-stationary signals is spectrogram based on the short-time Fourier transform (STFT). The well known limitation of the STFT is the inherent trade-off between time and frequency resolution. The Wigner-Ville (WV) distribution has the best time-frequency resolution, but its draw back is generating cross-terms. The matching pursuit (MP) distribution based on using the Gaussian atom is always positive, does not include crossterm, and has convenient resolution. In this paper, we have shown in addition to the known properties, the MP distribution can also remove the additive noise inherently. On the other words, we are able to remove the noise just by limiting the algorithm iterations and without paying any additional cost. Although the MP distribution based on using the Gaussian atoms is always positive and it has convenient resolution, according to the MP the time marginal and the frequency marginal will not be obtained accurately. In this paper, it has been shown that by implementing the Minimum cross entropy (MCE) technique according to the MP distribution as a priory positive distribution, the new extracted distribution has the most similarity to the MP distribution and it also satisfies the correct time and frequency marginal.

Design and 5ynthesis of a nonlinear non-Minimum Phase supersonic flight vehicle longitudinal dynamics control for g commands output tracking are presented. The non-Minimum nature of the resulting input/output pair necessitates using a modified switching manifold in sliding mode control theory. Dynamic sliding manifold is designed to compensate for unstable internal dynamics of the 5ystem associated with the coupling between the moment generating actuators and the aerodynamic forces on the flight vehicle. The employed method is simple to implement in practical applications and enables the sliding mode control design to exhibit the desired dynamic properties during the entire output-tracking process independent of matched perturbations and accommodates to unmatched perturbations. Results of simulations are presented to demonstrate the performance, robustness, and stability of the considered autopilot.

An iterative tuning method is presented to obtain the multi-input multi-output (MIMO) feedforward controller coefficients to improve disturbance rejection in non-Minimum Phase (NMP) MIMO Systems. In the NMP Systems, eliminating the effect of disturbances may cause instability and also can impose extra costs to control the entire System. For this purpose, a simple feedforward controller structure is proposed. The unknown variables of the feedforward controller are calculated using LMIs such that the H∞ norm of the transfer function matrix from disturbance to output is minimized. By taking advantage of the frequency sampling techniques into account and using some iterative algorithms, a new tractable method is constructed to solve the problem. Also, a condition based on the right half plane (RHP) zero direction for the NMP System has been proposed to improve the disturbance rejection property of these Systems. To obtain optimal coefficients, the algorithm is repeated several times to reach the best answer. The method employs convex technics and CVX software to perform calculations. The efficiency of the method is shown in various practical examples using different performance indicators such as integral of absolute error (IAE), integral of squared error (ISE), integral of time multiplied by absolute error (ITAE), integral of time multiplied by squared error (ITSE).

Introduction: Nowadays different countries benefit from health System based on health cards and projects related to smart cards. Lack of facilities which cover this technology is obvious in our society. This paper aims to design Minimum Data Sets of Health Smart Card System for Iran.Method: This research was an applied descriptive study. At first, we reviewed the same projects and guidelines of selected countries and the proposed model was designed in accordance to the country’s needs, taking people’s attitude about it by Delphi technique. A data analysis in study stage of MDS (Minimum Data Sets) of Health Smart Card in the selective countries was done by comparative tables and determination of similarities and differences of the MDS. In the stage of gaining credit for model, it was accomplished with descriptive statistics to the extent of absolute and relative frequency through SPSS (version 16).Results: MDS of Health Smart Card for Iran is presented in the patient’s card and health provider’s card on basisof studiesin America, Australia, Turkey and Belgium and needs of our country and after doing Delphi technique with 94 percent agreement confirmed.Conclusion: Minimum Data Sets of Health Smart Card provides continuous care for patients and communication among providers. So, it causes a decrease in the complications of threatening diseases. Collection of MDS of diseases increases the quality of care assessment.