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RISS 인기검색어
- 검색키워드
- 저자 : Mohammad Reza Jahed-Motlagh (검색결과 5 건)
- 무료
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- 유료
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Improved Adaptive Fuzzy Sliding Mode Controller for Robust Fault Tolerant of a Quadrotor
Saeed Barghandan,Mohammad Ali Badamchizadeh,Mohammad Reza Jahed-Motlagh 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.1
In this paper, a model for a Quadrotor helicopter has been considered when a fault has been occurredin its actuators. The sliding mode control technique has been utilized as one of a robust passive fault tolerantcontrol methods to control the Quadrotor’s attitude. An adaptive fuzzy system, as a compensator has been used tocompensate the estimation error of nonlinear functions and faulty parts. Although increasing the adaptation rateenhances the responding speed, it is accompanied by closed loop system instability. In order to avoid instability andto increase the robustness of the closed loop system, in this paper, a new parallel fuzzy system has been proposedalong with a main fuzzy system. The adaptation rules of the main and parallel fuzzy systems were extracted fromLyapunov’s stability theory. During the numerical simulation, the efficiency of the proposed method has been shownagainst actuator faults.
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Hamid Ghadiri,Mohammad Reza Jahed-Motlagh,Mojtaba Barkhordari Yazdi 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.6
This paper considers the robust output observer-based guaranteed cost control (GCC) for a class of un-certain switched neutral systems (USNSs) where delays are discrete, neutral, and time-varying. This research emphasizes the cases where uncertainties are norm-bounded and time-varying. The GCC is the problem of obtaining an adequate level of performance index in addition to the exponential stability from a practical perspective. First, delay-dependent sufficient conditions are suggested using the average dwell time approach and the piecewise Lyapunov function technique in terms of a set of linear matrix inequalities to guarantee the robust exponential stability via the output observer-based controller. The problem of uncertainty in USNSs is solved by designing a robust output observer-based control and applying Yakubovich lemma. Then, the corresponding conditions are obtained for USNSs via the applied controller under the GCC. The controller and the observer in an observer-based control problem cannot be designed separately, meaning that a separation principle does not hold in this re-search. Finally, a numerical example is given to determine the effectiveness of the proposed theory.
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Malek Ghanavati,Karim Salahshoor,Mohammad Reza Jahed Motlagh,Amin Ramazani,Ali Moarefianpour 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.2
Nowadays, there is a great interest in using active control methods to increase the compressor working range. The advantage of this controlling method is that the performance point can be located in the vicinity of maximum pressure and efficiency. However, most of the existing controllers require an awareness of compressor characteristic, disturbance upper bound, throttle gain, and throttle valve feature; this is why they are limited in engineering applications. In order to overcome the weakness of the existing controllers, this research employs a novel combined controlling method based on robust adaptive control, which is designed using backstepping technique because the compressor behavior is nonlinear. The increased efficiency and improved operational area for the compressor are provided by this controller without requiring any knowledge or information regarding the compressor characteristic, disturbance upper bound, throttle gain, and throttle valve feature. The adaptive controller has been used to compensate for uncertainties of the compressor characteristic and throttle valve as well as the un-modeled dynamics. Also, the controller robustness is a barrier against the time-varying disturbances in flow and pressure applied to the system. Finally, simulation results showed that the designed controller, in addition to assure the system stability, developed the compressor working range, and the convergence of system states was achieved after applying disturbance in flow and pressure.
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Low‐power heterogeneous uncore architecture for future 3D chip‐multiprocessors
Aniseh Dorostkar,Arghavan Asad,Mahmood Fathy,Mohammad Reza Jahed Motlagh,Farah Mohammadi 한국전자통신연구원 2018 ETRI Journal Vol.40 No.6
Uncore components such as on‐chip memory systems and on‐chip interconnects consume a large amount of energy in emerging embedded applications. Few studies have focused on next‐generation analytical models for future chip‐multiprocessors (CMPs) that simultaneously consider the impacts of the power consumption of core and uncore components. In this paper, we propose a convex‐optimization approach to design heterogeneous uncore architectures for embedded CMPs. Our convex approach optimizes the number and placement of memory banks with different technologies on the memory layer. In parallel with hybrid memory architecting, optimizing the number and placement of through silicon vias as a viable solution in building three‐dimensional (3D) CMPs is another important target of the proposed approach. Experimental results show that the proposed method outperforms 3D CMP designs with hybrid and traditional memory architectures in terms of both energy delay products (EDPs) and performance parameters. The proposed method improves the EDPs by an average of about 43% compared with SRAM design. In addition, it improves the throughput by about 7% compared with dynamic RAM (DRAM) design.
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Practical Explicit Model Predictive Control for a Class of Noise-embedded Chaotic Hybrid Systems
Seyyed Mostafa Tabatabaei,Sara Kamali,Mohammad Reza Jahed Motlagh,Mojtaba Barkhordari Yazdi 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.4
Controlling a class of chaotic hybrid systems in the presence of noise is investigated in this paper. Toreach this goal, an explicit model predictive control (eMPC) in combination with nonlinear estimators is employed. Using the eMPC method, all the computations of the common MPC approach are moved off-line. Therefore, theoff-line control law makes it easier to be implemented in comparison with the on-line approach, especially forcomplex systems like the chaotic ones. In order to verify the proposed control structure practically, an op-ampbased Chua’s chaotic circuit is designed. The white Gaussian noise is considered in this circuit. Therefore, thenonlinear estimators –extended and unscented Kalman filter (EKF and UKF)– are utilized to estimate signals fromthe noise-embedded chaotic system. Performance of these estimators for this experimental setup is compared inboth open-loop and closed-loop systems. The experimental results demonstrate the effectiveness of the eMPCapproach as well as the nonlinear estimators for chaos control in the presence of noise.
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