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Mahmoud Tarokh 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.6
The paper proposes a new formulation of the output feedback pole assignment problem. In this formulation, a unified approach is presented for solving the pole assignment problem with various additional objectives. These objectives include optimizing a variety of performance indices, and imposing constraints on the output feedback matrix structure, e.g. decentralized structure. Conditions for the existence of the output feedback are discussed. However, the thrust of the paper is on the development of a convergent pole assignment algorithm. It is shown that when exact pole assignment is not possible, the method can be used to place the poles close to the desired locations. Examples are provided to illustrate the method.
Siadati, Saman,Tarokh, Mohammad Jafar,Noorossana, Rassoul Korean Institute of Industrial Engineers 2017 Industrial Engineeering & Management Systems Vol.16 No.4
First step of reconfigurable supply chain network developing is understanding of risk affects. Categorizing of risk module and results of risk events considered with gathering and analyzing of data from network design parameters. These obtained data have probability distribution that shows uncertainty in parameters. In the literatures supply chain risk categorized based on occurrences rate or frequency and period or duration time and also place of occurrence. Deal with uncertainty and complexity of risk, our proposed fuzzy method can solve these problems in two aspects. Also described a fuzzy based sampling method (FLHS) that developed and used in this paper can improve our results even more than previous works. This paper suggests a novel modelling and simulation method of fuzzy sampling and fuzzy analysis system to address the dynamic risks effects in the especially the consideration of uncertainty risk event system behavior in different operational conditions.
Explicit Input and Output Feedback Control for Discrete-Time Systems
이영삼,Mahmoud Tarokh,한수희 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.3
A new form of output feedback control, referred herein as explicit input and output feedback control (EIOC), is proposed for linear discrete-time systems. Unlike the conventional dynamic output feedback control described by a state-space model, the proposed EIOC has a batch form, where current control is explicitly expressed using current and past system outputs and past control inputs over a recent time horizon. The paper formulates the EIOC law and discusses its features and desirable characteristics. The EIOC is shown to be equivalent to static output feedback control for an augmented system. The coefficients of the EIOC are obtained to achieve the H∞ performance criterion. Finally, numerical examples are presented to illustrate the effectiveness of the EIOC.
Fuzzy Risk Analysis Using Fuzzy Sampling Method
Saman Siadati,Mohammad Jafar Tarokh,Rassoul Noorossana 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.4
First step of reconfigurable supply chain network developing is understanding of risk affects. Categorizing of risk module and results of risk events considered with gathering and analyzing of data from network design parameters. These obtained data have probability distribution that shows uncertainty in parameters. In the literatures supply chain risk categorized based on occurrences rate or frequency and period or duration time and also place of occurrence. Deal with uncertainty and complexity of risk, our proposed fuzzy method can solve these problems in two aspects. Also described a fuzzy based sampling method (FLHS) that developed and used in this paper can improve our results even more than previous works. This paper suggests a novel modelling and simulation method of fuzzy sampling and fuzzy analysis system to address the dynamic risks effects in the especially the consideration of uncertainty risk event system behavior in different operational conditions.
Improving Sampling Using Fuzzy LHS in Healthcare Supply Chain
Saman Siadati,Mohammad Jafar Tarokh,Rassoul Noorossana 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.2
Considering the effects of risk on supply chain in healthcare industry, we must provide a mathematical model based on the risk to re-design the supply chain network, which is a part of the optimization module, random sampling meth-ods use. One of the objectives for applying sampling methods is to determine the best method (by reducing the vari-ance and computational time) for different sizes. The large number of random parameters of the objective function value led to very high variance that required using methods for reducing the variance. In this research, our approach to handle risk analysis problems in mean approximation is using traditional sampling method namely Latin hypercube sampling. However, to reduce error in correlations between variables, it is proposed to perform a fuzzy method on the intervals to eliminate uncertainty in statistical values. Limitations in hypercube sampling will be discussed and numerical results involving a FLHS are presented and compared with Monte Carlo, simple LHS and other types of LHS. We show that the proposed method can affect the precision of mean and variance values.
A practical transmit beamforming strategy for closed‐loop MIMO communication
Cho, Sunghyun,Hwang, Insoo,Tarokh, Vahid,You, Cheolwoo John Wiley Sons, Ltd 2012 International Journal of Communication Systems Vol.25 No.8
<P><B>SUMMARY</B></P><P>A new beamforming strategy is proposed for multiuser systems with <I>N</I> transmit antennas at the transmitter and <I>M ⩽ N</I> single antenna receivers. The proposed scheme remarkably improves on the classical spatial division multiple access, and achieves the same data rates as spatial multiplexing for all users but with significantly superior performance/diversity gain. When compared with the Bell labs layered space–time system, the symbol rate is the same and the performance is much superior because of the presence of diversity gain. In addition, unlike the Bell labs layered space–time system, the receivers do not need to know each other's vector channels. Finally, the proposed algorithm is based on dirty‐paper coding, but does not require much complexity and is implementable. Copyright © 2011 John Wiley & Sons, Ltd.</P>
Bi-Directional Half-Duplex Relaying Protocols
Sang Joon Kim,Natasha Devroye,Vahid Tarokh 한국통신학회 2009 Journal of communications and networks Vol.11 No.5
The bi-directional relay channel is the natural extension of a three-terminal relay channel where node a transmits to node b with the help of a relay r to allow for two-way communication between nodes a and b. That is, in a bi-directional relay channel, a and b wish to exchange independent messages over a shared channel with the help of a relay r. The rates at which this communication may reliably take place depend on the assumptions made on the relay processing abilities. We overview information theoretic limits of the bi-directional relay channel under a variety of conditions, before focusing on half-duplex nodes in which communication takes place in a number of temporal phases (resulting in protocols), and nodes may forward messages in four manners. The relay-forwarding considered are: Amplify and forward (AF), decode and forward (DF), compress and forward (CF), and mixed forward. The last scheme is a combination of CF in one direction and DF in the other. We derive inner and outer bounds to the capacity region of the bi-directional relay channel for three temporal protocols under these four relaying schemes. The first protocol is a two phase protocol where a and b simultaneously transmit during the first phase and the relay r alone transmits during the second. The second protocol considers sequential transmissions from a and b followed by a transmission from the relay while the third protocol is a hybrid of the first two protocols and has four phases. We provide a comprehensive treatment of protocols in Gaussian noise, obtaining their respective achievable rate regions, outer bounds, and their relative performance under different SNR and relay geometries.