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RISS 인기검색어
- 검색키워드
- 저자 : Mohammad Ali Nekoui (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Stability Analysis of Time-Delayed Linear Fractional-Order Systems
Mohammad Ali Pakzad,Sara Pakzad,Mohammad Ali Nekoui 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.3
In this article, an exact and robust method for the determination of all the possible stability regions in the parametric space has been presented for the fractional order systems with time delay. Using the approach presented in this study, first, the transcendental terms have been eliminated from the characteristic equation and then, all the locations on the imaginary axis crossed by the roots and also their direction of crossing have been calculated. Finally, the concept of the stability as a function of the time delay has been described for a general class of linear fractional order systems with several commensurate delays. Prior to the conclusion, several examples have been given to validate the results of the proposed approach.
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Stability Map of Multiple Time Delayed Fractional Order Systems
Mohammad Ali Pakzad,Mohammad Ali Nekoui 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.1
In this paper, a novel method is presented to study the stability map of linear fractional order systems with multiple delays against uncertainties in delays. It is evident from the literature that the stability question of this class of dynamics has not been resolved yet. The backbone of the new methodology is inspired by an advanced clustering with frequency sweeping technique which enables the exhaustive determination of stability switching curves in the space of the delays. The proposed method detects all the stability regions exactly, in the parametric space of the time delays. An illustrative example is pre-sented to confirm the proposed method results.
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Hamid Khaloozadeh,Mohammad Ali Nekoui,Farid Shahni 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.3
The goal of this paper is global disturbance rejection in nonlinear systems. An output feedback control-ler with disturbance rejection is developed for a class of nonlinear multi input-multi output (MIMO) systems. The availability of state variables and the bound of disturbances are not required to be known in advance and reference tracking will is guaranteed. By the aid of designing an adaptive ob-server, a robust adaptive nonlinear state feedback controller using the estimated states is proposed. For tracking problem, an adaptive pre-compensator is used. The control methodology is robust against both constant and time varying bounded disturbances, maintaining effective performance. The adaptive laws are derived based on the Lyapunov synthesis method, therefore closed-loop asymptotic stability is also guaranteed. Moreover, for chattering reduction we use a low-pass filter. Consequently, small gain theorem is adopted to prove the stability of the closed-loop system. Simulation results are employed to illustrate the effectiveness of the proposed controller.
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An Optimization based Method for Simultaneous Localization and Mapping
Ramazan Havangi,Mohammad Ali Nekoui,Mohammad Teshnehlab 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.4
In this study, we present an optimization based solution to the simultaneous localization and mapping (SLAM) problem. In the proposed algorithm, the SLAM problem is considered as two optimization problems. These problems are solved using forward dynamic programming. In the first problem, it is assumed that map is known perfectly and the robot path is estimated. In the second problem, the estimated robot path with their corresponding measurements is used to identify map. As optimization problem in each step of dynamic programming have high nonlinearity and also differential evolution (DE) tends to find the globally optimal solution without being trapped at local maxima, DE is de-veloped to solve dynamic programming in each step of time. Some simulations and experiments are presented to illustrate the proposed algorithm and exhibit its performance.
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Reza Sobhani Ahmadgurabi,Mohammad Ali Nekoui,Karim Salahshoor 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Predictive controller based on model has been known as a reliable and robust controller in the last 20 years. This paper presents a new idea of design and implementing an adaptive model predictive controller on an industrial "dynamic" and "nonlinear" plant in an integrated software environment using Hysys and Matlab packages. The model predictive controller formation is based on an adaptive state-space prediction model of the system response to obtain the control action by minimizing an objective function. The designed MPC controller is utilized to regulate a gaseous industrial plant, simulated in Hysys. The objective of controlling the plant is to compensate for the pressure variations in topside output of the vessel in on-line form. In this paper, the opening value percentage (OP) of a valve in the output is randomly excited in a given interval to identify the output pressure in the plant, called as Process Variable (PV). The predicted and desired outputs are then employed in the designed model predictive controller to determine the control actions in the prediction horizon. The simulation results obtained in the developed integrated Hysys-Matlab environment, demonstrate the capability of the proposed approach to efficiently monitor and control an industrial gaseous plant in a real and practical manner.
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