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Relevant bibliographies by topics / MIMO (Multi-Input and Multi-Output)

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Academic literature on the topic 'MIMO (Multi-Input and Multi-Output)'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "MIMO (Multi-Input and Multi-Output)"

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Avila, J., B. Vinoth, and K. Thenmozhi. "Multi Input Multi Output (MIMO) Multiband OFDM." Information Technology Journal 13, no. 12 (June 1, 2014): 2042–46. http://dx.doi.org/10.3923/itj.2014.2042.2046.

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Zhu, Ming, Yu Shi, Ding Fan, and Hai Zhou. "Multi-Input Multi-Output Control of Consumable DE-GMAW." Applied Mechanics and Materials 395-396 (September 2013): 1114–17. http://dx.doi.org/10.4028/www.scientific.net/amm.395-396.1114.

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A novel and high efficient consumable double-electrode gas metal arc welding (consumable DE-GMAW) method has been introduced. Because of the coupled welding parameters, a multi-input multi-output (MIMO) control scheme was proposed and tested, which controlled the bypass arc by adjusting the bypass wire feed speed, and controlled the base metal current by adjusting the bypass current. Then, the welding experiment has been carried out. The results showed that the MIMO control scheme was effective. The base metal current was controlled at a nearly constant level and the welding process was stable. Also a good weld appearance was obtained.

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Kerr, Murray L., Suhada Jayasuriya, and Samuel F. Asokanthan. "Robust Stability of Sequential Multi-input Multi-output Quantitative Feedback Theory Designs." Journal of Dynamic Systems, Measurement, and Control 127, no. 2 (May 24, 2004): 250–56. http://dx.doi.org/10.1115/1.1898233.

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This paper re-examines the stability of multi-input multi-output (MIMO) control systems designed using sequential MIMO quantitative feedback theory (QFT). In order to establish the results, recursive design equations for the SISO equivalent plants employed in a sequential MIMO QFT design are established. The equations apply to sequential MIMO QFT designs in both the direct plant domain, which employs the elements of plant in the design, and the inverse plant domain, which employs the elements of the plant inverse in the design. Stability theorems that employ necessary and sufficient conditions for robust closed-loop internal stability are developed for sequential MIMO QFT designs in both domains. The theorems and design equations facilitate less conservative designs and improved design transparency.

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Chowdhuri, Swati, Sayan Chakraborty, Nilanjan Dey, Ahmad Taher Azar, Mohammed Abdel-Megeed M. Salem, Sheli Sinha Chaudhury, and Pranab Banerjee. "Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network." International Journal of Service Science, Management, Engineering, and Technology 5, no. 3 (July 2014): 54–65. http://dx.doi.org/10.4018/ijssmet.2014070104.

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Mobile ad hoc Network (MANET) and Multi Input Multi Output (MIMO) communication are emerging techniques in modern communication system. MIMO and MANET have various applications in the wireless communication system. This paper presents a survey on recent advancement of MIMO implemented mobile ad hoc network. A review of more than 40 papers on MIMO communication based mobile ad hoc network and most of the related topics is presented in this work. This paper shows the significant contribution in the field of MIMO communication and mobile ad hoc network. Previous works in this domain can be categorized into four major areas: (a) Mathematical modeling of MIMO channel and Ad hoc networks, (b) Physical Scattering Model of MIMO channel considering fading (c) Spatial multiplexing (OFDM) technique with MIMO channel, (d) Analysis of transmission efficiency of packet radio network. The review paper establishes the advancement in these four areas as well as recent changes in advance communication and networking environments.

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Liu, Kai, Fanwei Meng, Shengya Meng, and Chonghui Wang. "Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method." Entropy 23, no. 9 (September 8, 2021): 1180. http://dx.doi.org/10.3390/e23091180.

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The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measurement noise is analyzed. This paper gives the control design steps of the MIMO systems. Finally, simulation experiments of four typical MIMO systems demonstrate the effectiveness of the proposed method.

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Gasbaoui, Brahim, Chaker Abdelkader, and Laoufi Adellah. "Multi-input multi-output fuzzy logic controller for utility electric vehicle." Archives of Electrical Engineering 60, no. 3 (September 1, 2011): 239–56. http://dx.doi.org/10.2478/v10171-011-0023-6.

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Multi-input multi-output fuzzy logic controller for utility electric vehicle Currently commercialization of electric vehicle (EV) is based to minimize the time of starting and acceleration. To undergo this problem multi-input multi-output fuzzy logic controller (MIMO-FLC) affect on propelled traction system forming MMS process was proposed. This paper introduces a MIMO-FLC applied on speeds of electric vehicle, the electric drive consists of two directing wheels and two rear propulsion wheels equipped with two light weight induction motors. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. Acceleration and steering are ensured by an electronic differential system which maintains robust control for all cases of vehicle behavior on the road. It also allows controlling independently every driving wheel to turn at different speeds in any curve. Direct torque control based on space vector modulation (DTC-SVM) is proposed to achieve the tow rear driving wheel control. The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results have proved that the MIMO-FLC method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the single input single output fuzzy controller (SISO-FLC).

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El-Saify, M. H., A. M. El-Garhy, and G. A. El-Sheikh. "Brain Emotional Learning Based Intelligent Decoupler for Nonlinear Multi-Input Multi-Output Distillation Columns." Mathematical Problems in Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8760351.

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The distillation process is vital in many fields of chemical industries, such as the two-coupled distillation columns that are usually highly nonlinear Multi-Input Multi-Output (MIMO) coupled processes. The control of MIMO process is usually implemented via a decentralized approach using a set of Single-Input Single-Output (SISO) loop controllers. Decoupling the MIMO process into group of single loops requires proper input-output pairing and development of decoupling compensator unit. This paper proposes a novel intelligent decoupling approach for MIMO processes based on new MIMO brain emotional learning architecture. A MIMO architecture of Brain Emotional Learning Based Intelligent Controller (BELBIC) is developed and applied as a decoupler for 4 input/4 output highly nonlinear coupled distillation columns process. Moreover, the performance of the proposed Brain Emotional Learning Based Intelligent Decoupler (BELBID) is enhanced using Particle Swarm Optimization (PSO) technique. The performance is compared with the PSO optimized steady state decoupling compensation matrix. Mathematical models of the distillation columns and the decouplers are built and tested in simulation environment by applying the same inputs. The results prove remarkable success of the BELBID in minimizing the loops interactions without degrading the output that every input has been paired with.

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DUAN, ZHISHENG, JINZHI WANG, and LIN HUANG. "MULTI-INPUT AND MULTI-OUTPUT NONLINEAR SYSTEMS: INTERCONNECTED CHUA'S CIRCUITS." International Journal of Bifurcation and Chaos 14, no. 09 (September 2004): 3065–81. http://dx.doi.org/10.1142/s0218127404011168.

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In this paper, a class of MIMO nonlinear systems are studied. Some frequency domain conditions are established for the property of dichotomy. These kinds of systems can also be viewed as a class of interconnected systems composed of SISO systems through some linear and nonlinear interconnections. A class of nonlinear input and output interconnections are presented. The corresponding condition for testing dichotomy is given. Furthermore, Chua's circuit and interconnected Chua's circuit are studied to illustrate the theoretical results.

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Raviv, Li-on, and Amir Leshem. "Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines." Future Internet 11, no. 8 (August 5, 2019): 172. http://dx.doi.org/10.3390/fi11080172.

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The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall system performance. In this paper, we propose a combination of beamforming and scheduling to improve the overall performance of multi-user MIMO systems in realistic conditions where data packets have both priority and deadlines beyond which they become obsolete. This method dubbed Reward Per Second (RPS), combines advanced matrix factorization at the physical layer with recently-developed queue management techniques. We demonstrate the merits of the this technique compared to other state-of-the-art scheduling methods through simulations.

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Al-Lafi, Dua’a, Omar Banimelhem, Mohammad Shurman, Eyad Taqieddin, and Salim Alkhawaldeh. "Pilot Contamination Mitigation in Massive Multi-Input Multi-Output (MIMO) System." International Journal on Communications Antenna and Propagation (IRECAP) 10, no. 6 (December 31, 2020): 377. http://dx.doi.org/10.15866/irecap.v10i6.19374.

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Dissertations / Theses on the topic "MIMO (Multi-Input and Multi-Output)"

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Baskar, Siddharth. "Architecture for Multi Input Multi Output CompressiveRadars." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503302518672948.

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Jaber, Dana N. "Multi-input multi-output (MIMO) detection by a colony of ants." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1778.

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El, Rashid Mohamad. "Study of Multiport Antenna Systems on Terminals for WLAN : MIMO Technology." Thesis, University of Gävle, Ämnesavdelningen för elektronik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4420.

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Using more than just on antenna can significantly speed up the data rate in a wireless communication system. These systems are commonly referred to as Diversity- and MIMO-systems. Due to tight volume restriction for the antennas, e.g. in a mobile phone, electromagnetic coupling between the antennas will degrade the capacity of the wireless system and lower the coverage.

In the proposed thesis, a thorough study of Ethertronics’ standard antennas will be established in which the antennas will be used in a multiport system, e.g. MIMO. The thesis will be strongly related to Ethertronics’ engagement in Chase and therefore also dependent on the latest progresses on MPA (Multiport Analyzer) developed in Chase. The thesis will result in a working methodology how to use MPA plus design-, location- and orientation rules for the standard antennas used in a multiport system.

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Coskun, Adem. "Downlink Transmission Techniques For Multi User Multi Input Multi Output Wireless Communications." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608750/index.pdf.

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Multi-user MIMO (MIMO-MU) communication techniques make use of available channel state information at the transmitter to mitigate the inter-user interference. The goal of these techniques is to provide the least interference at the mobile stations by applying a precoding operation. In this thesis a comparison of available techniques in the literature such as Channel Decomposition, SINR Balancing, Joint-MMSE optimization is presented. Novel techniques for the MIMO multi-user downlink communication systems, where a single stream is transmitted to each user are proposed. The proposed methods, different from the other methods in the literature, use a simple receiver to combat the interference. It has been shown that MRC based receivers are as good as more complicated joint MMSE receivers.

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Allen, Matthew Scott. "Global and Multi-Input-Multi-Output (MIMO) Extensions of the Algorithm of Mode Isolation (AMI)." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6877.

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A wide range of dynamic systems can be approximated as linear and time invariant, for which a wealth of tools are available to characterize or modify their dynamic characteristics. Experimental modal analysis (EMA) is a procedure whereby the natural frequencies, damping ratios and mode shapes which parameterize vibratory, linear, time invariant systems are derived from experimentally measured response data. EMA is commonly applied in a multitude of applications, for example, to generate experimental models of dynamic systems, validate finite element models and to characterize dissipation in vibratory systems. Recent EMA has also been used to characterize damage or defects in a variety of systems. The Algorithm of Mode Isolation (AMI), presented by Drexel and Ginsberg in 2001, employs a unique strategy for modal parameter estimation in which modes are sequentially identified and subtracted from a set of FRFs. Their natural frequencies, damping ratios and mode vectors are then refined through an iterative procedure. This contrasts conventional multi-degree-of-freedom (MDOF) identification algorithms, most of which attempt to identify all of the modes of a system simultaneously. This dissertation presents a hybrid multi-input-multi-output (MIMO) implementation of the algorithm of mode isolation that improves the performance of AMI for systems with very close or weakly excited modes. The algorithmic steps are amenable to semi-automatic identification, and many FRFs can be processed efficiently and without concern for ill-conditioning, even when many modes are identified. The performance of the algorithm is demonstrated on noise contaminated analytical response data from two systems having close modes, one of which has localized modes while the other has globally responsive modes. The results are compared with other popular algorithms. MIMO-AMI is also applied to experimentally obtained data from shaker excited tests of the Z24 highway bridge, demonstrating the algorithm's performance on a data set typical of many EMA applications. Considerations for determining the number of modes active in the frequency band of interest are addressed, and the results obtained are compared to those found by other groups of researchers.

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Sevelimedu, Veeravalli Vinodh. "Study of MIMO, orthogonal codes and core operator architecture design for ML decoder." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10155.

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In the high-end research process of wireless systems and in the race for the development of the new technologies, MIMO (Multiple Input, Multiple Output) is getting more attention now days. It has a high potential usage in the 3G and 4G communications and beyond. The MIMO based system has got the ability to increase the data throughput in spectrum-limited conditions. With the increase and complexity of wireless applications, the spectrum efficiency improvement in the physical layer will be saturated. MIMO is predicted to be one of the major features for the next generation wireless networking. This thesis work is a part of an ongoing project of the Generic MIMO decoder design carried out at the research laboratory, LESTER at Lorient, France. I was involved in the study of MIMO concepts, orthogonal and Space-time codes and later involved in the design and optimization of the architecture for the core operator for the ML decoder used in the reception of the MIMO system,which is presented in this report work.

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Jiang, Ping, and H. Chen. "Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems." IEEE, 2005. http://hdl.handle.net/10454/3500.

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Yes
An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed control method.

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Nguyen, Chuong Hoang. "Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71312.

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Functional Electrical Stimulation (FES) is a technique that applies electrical currents to nervous tissue in order to actively induce muscle contraction. Recent research has shown that FES provides a promising treatment to restore functional tasks due to paralysis caused by spinal cord injury, head injury, and stroke, to mention a few. Therefore, the overarching goal of this research work is to develop FES controllers to enable patients with movement-disorder to control their limbs in a desired manner and, in particular, to aid Parkinson's patients to suppress hand tremor. In our effort to develop strategies for muscle stimulation control, we first implement a model-based control technique assuming that all the states are measurable. The Hill-type muscle model coupled with a simplified 2DoF model of the arm is used to study the performance of our proposed adaptive sliding mode controller for simulation purpose. However, in the more practical situations, human limb dynamics are extremely complicate and it is inadequate to use model based controllers, especially considering there are still technical limitations that allow in vivo measurements of muscle activity. To tackle these challenges, we have developed output feedback adaptive control approaches for a class of unknown multi-input multi-output systems. Such control strategies are first developed for linear systems, and then extended to the nonlinear case. The proposed controllers, supported by experimental results, require minimum knowledge of the system dynamics and avoid many restrictive assumptions typically found in the literature. Therefore, we expect that the results introduced in this dissertation can provide a solution for a wide class of nonlinear uncertain systems, with focus on practical issues such as partial state measurement and the presence of mismatched uncertainties.
Ph. D.

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Yankevich, Evgeny. "Design of an Airborne Multi-input Multi-output Radar Emulator Testbed for Ground Moving Target Identification Applications." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345571650.

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Shi, Yan. "Robust Signaling, Scheduling and Authentication in the Multi-User Multiple-Input-Multiple-Output Channel." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2808.

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Multiple-input multiple-output (MIMO) networks are known to be able to achieve throughput performance superior to that available from single-input single-output (SISO) systems. However, when applying MIMO in multi-user networks, achieving this throughput advantage requires efficient precoding and optimal network scheduling. Furthermore, MIMO radios can help ensure security in a multi-user network. Previous work has proposed various precoding techniques for the MIMO broadcast channel, based either on channel state information (CSI) or channel distribution information (CDI), which achieve optimal or near- optimal MIMO channel throughput. The performance of these techniques largely depends on the availability of the channel information at the transmitter that must be fed back from the receiver. However, the past work has not examined the impact of latency caused by feedback of channel information and computation. This research proposes a performance metric to measure the throughput degradation caused by compression and feedback of channel information. We further propose an effective data compression technique based on the Karhunen-Lo`eve (KL) Transform and show that linear precoding (beamforming) based on CDI can achieve superior performance by providing stable channel throughput in both time- varying and frequency-selective channels. Very little prior work exists on optimal scheduling for multi-user MIMO networks, particularly in time-varying channels. One reason for this is that hybrid MIMO channels permit much more complex channel structures, such as broadcast channel (BC) and multiple access channel (MAC), whose capacity is limited not only by random channel noise but also by the multi-user interference. Furthermore, the achieved MIMO channel throughput depends on the spatial characteristics of the multi-user channels, a feature not captured by traditional network models based on signal-to-noise ratio and Doppler. Therefore, achieving near optimal performance requires development of scheduling techniques that depend on detailed channel characteristics. This dissertation proposes a novel parametric representation of the channel that simply describes the complex multi-user MIMO channels and allows for efficient scheduling. Because of the computational and feedback efficiency enabled by this parametric approach, it achieves low latency and therefore excellent performance.Finally, in any network setting, security is an important consideration. Specifically authentication ensures that unauthorized users do not gain network access. Unfortunately, user identity can be relatively easy to forge. This work therefore explores the user of radio- metric fingerprinting that uniquely identifies a device by unique imperfections in its transmitted waveform. This work shows that by applying this fingerprinting technique to MIMO devices, authentication reliability can be dramatically improved. The work also develops an information-theoretic approach to identify the optimal set of radiometric features to use for authentication and further considers the impact of drift in radiometric features on authentication performance.

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Books on the topic "MIMO (Multi-Input and Multi-Output)"

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(Japan), Ajia Keizai Kenkyūjo. Multi-regional input-output model for China 2000. Chiba-shi, Japan: Institute of Developing Economies, Japan External Trade Organization, 2003.

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Koebel, Bertrand. Exports and labour demand: Searching for functional structure in multi-output multi-skill technologies. Bonn, Germany: IZA, 2005.

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Hartoyo, Sri. Pengaruh infrastruktur terhadap penawaran tanaman pangan di Jawa: Pendekatan multi-input multi-output. Bogor: Program Pascasarjana, Institut Pertanian Bogor, 1994.

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Guo jia xin xi zhong xin (China). Zhongguo qu yu jian tou ru chan chu biao: Multi-regional input-output model for China. Beijing: She hui ke xue wen xian chu ban she, 2005.

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The sustainability practitioner's guide to multi-regional input-output analysis. Champaign, Illinois: Common Ground, 2013.

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Mergos, George. Output supply and input demand in Greek agriculture: A multi-output profit function approach. Athens: Centre of Planning and Economic Research, 1991.

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Schmidt, D. K. Progress report on Multi-input multi-output system control for experimental aircraft: NCC2-288, December 13, 1985. [Washington, DC: National Aeronautics and Space Administration, 1985.

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Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.

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Nijkamp, Peter. Spatial interaction and input-output models: A dynamic stochastic multi-objective framework. Amsterdam: Vrije Universiteit, Faculteit der Economische Wetenschappen en Econometrie, 1987.

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Kawwāz, Aḥmad. The Arab economies in multi-country models: Survey of some regional and global experiences. Cairo, Egypt: Economic Research Forum for the Arab Countries, Iran & Turkey, 1996.

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Book chapters on the topic "MIMO (Multi-Input and Multi-Output)"

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Woodall, James, Maimuna Hossain, Arup Maji, John Pott, and Fernando Moreu. "Exploring Uncertainties in Multi-Input-Multi-Output (MIMO) Testing." In Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 197–204. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47709-7_19.

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Yang, Guanglong, Xiao Wang, Shizeng Guo, and Yi Wang. "A New Beam Selection Transmission Method in the Massive Multi-Input Multi-Output (MIMO) System." In Lecture Notes in Electrical Engineering, 274–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_33.

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Yang, Guanglong, Xiao Wang, Wenbin Zhang, and Yi Wang. "The Multi-user Scheduling Algorithm Based on BDMA Transmission in the Massive Multi-Input Multi-Output (MIMO) System." In Lecture Notes in Electrical Engineering, 266–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_32.

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Song, Bongsob, and J. Karl Hedrick. "Multi-Input Multi-Output Mechanical Systems." In Communications and Control Engineering, 123–51. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-632-0_6.

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Phatak, Aashish, Deepa Panicker, Priyank Verma, Mayuri Bhadra, and Vinit Hegiste. "Multi-input Multi-output Self-learning-Based Control System." In International Conference on Advanced Computing Networking and Informatics, 329–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2673-8_35.

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Lu, Qiang, Yuanzhang Sun, and Shengwei Mei. "Design Principles of Multi-Input Multi-Output Nonlinear Control Systems." In Nonlinear Control Systems and Power System Dynamics, 121–64. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3312-9_4.

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Carpentier, Pierre, Jean-Philippe Chancelier, Guy Cohen, and Michel De Lara. "Dual Effect for Multi-Agent Stochastic Input-Output Systems." In Stochastic Multi-Stage Optimization, 293–307. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18138-7_10.

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Briones, Laura Brandán, and Ed Brinksma. "Testing Real-Time Multi Input-Output Systems." In Formal Methods and Software Engineering, 264–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11576280_19.

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Sasao, Tsutomu. "Multi-Valued Input Two-Valued Output Function." In Switching Theory for Logic Synthesis, 177–99. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5139-3_9.

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Wittwer, Glyn, Janine Dixon, and John Madden. "Beyond Regional Input–Output Modeling." In Multi-regional Dynamic General Equilibrium Modeling of the U.S. Economy, 1–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58866-7_1.

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Conference papers on the topic "MIMO (Multi-Input and Multi-Output)"

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Shahruz, Shahram M., and Jingang Yi. "Design of Disturbance Observers for Multi-Input Multi-Output Systems." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43117.

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In this paper, the long-standing problem of designing disturbance observers for multi-input multi-output (MIMO) systems is solved. The disturbance observer presented here has a simple structure equivalent to that of the internal model control (IMC), thereby there is no need for the system inversion. Techniques to design the proposed disturbance observer are given. Furthermore, the design procedure is illustrated via examples for different MIMO systems.

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O'Brien, Dominic. "Multi-input multi-output (MIMO) indoor optical wireless communications." In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. IEEE, 2009. http://dx.doi.org/10.1109/acssc.2009.5470195.

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A. L. de Andrade, Renato, and Péricles R. Barros. "Comparative Study of Three Output-Error Multi-Input Multi-Output Identification Methods." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1440.

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Multi-input multi-output (MIMO) systems have been a major concern for decades. However, due to the intrinsic complexity raised by the process interactions and optimization issues, MIMO approaches have not been developed as extensively as the single-input single-output ones. Recently, nevertheless, several algorithms have been proposed to address this problem, most of them based on recursive algorithms and many dependent on the assumption that the transfer function denominator polynomials are the same for all subsystems. In this article, an iterative least-squares-based algorithm, a pseudolinear regression and a Gauss-Newton optimization-based algorithm are proposed to provide a continuous-time output-error multi-input single-output model by means of iterative strategies. The numerical simulations indicate the iterative least-squares-based and the pseudo-linear regression algorithms have similar performances and generate more accurate and precise estimates than the Gauss-Newton one, which presented averages and standard deviations of the parameters ranging from twice as large to one order of magnitude higher than those of the other two algorithms.

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Karthikeyan, S., M. Mouli, P. Nigila, T. Pavithra, and R. Ramya. "Hardware design of Multi Input and Multi Output MIMO Converter." In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2021. http://dx.doi.org/10.1109/icaccs51430.2021.9442009.

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Tran, Tuan-Anh, and Dominic C. O'Brien. "Performance metrics for Multi-Input Multi-Output (MIMO) visible light communications." In 2012 International Workshop on Optical Wireless Communications (IWOW). IEEE, 2012. http://dx.doi.org/10.1109/iwow.2012.6349684.

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Punia, Komal, Emy Mariam George, K. Vinoth Babu, and G. Ramachandra Reddy. "Signal detection for Spatially Multiplexed multi input multi output (MIMO) systems." In 2014 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2014. http://dx.doi.org/10.1109/iccsp.2014.6949914.

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Ruggiero, Eric, Gyuhae Park, Daniel J. Inman, and Jan Wright. "Multi-Input Multi-Output Modal Testing Techniques for a Gossamer Structure." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33976.

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Abstract:

Inflated space-based structures have become popular over the past three decades due to their minimal launch-mass and launch-volume. Once inflated, these space structures are subject to vibrations induced by guidance systems and space debris as well as from variable amounts of direct sunlight. Understanding the dynamic behavior of space-based structures is critical to ensuring their desired performance. Inflated materials, however, pose special problems when testing and trying to control their vibrations because of their lightweight, flexibility, and high damping. Traditional modal testing techniques, based on single-input, single-output (SISO) methods, are limited for a variety of reasons when compared to their multiple counterparts. More specifically, SISO modal testing techniques are unable to reliably distinguish between pairs of modes that are inherent to axi-symmetric structures (such as an inflated torus, a critical component of a gossamer spacecraft). Furthermore, it is questionable as to whether a single actuator could reliably excite the global modes of a true gossamer craft, such as a 25 m diameter torus. In this study, we demonstrate the feasibility of using a multiple-input multiple-output (MIMO) modal testing technique on an inflated torus. In particular, the refined modal testing methodology focuses on using Macro-Fiber Composite (MFC®) patches (from NASA Langley Research Center) as both actuators and sensors. MFC® patches can be integrated in an unobtrusive way into the skin of the torus, and can be used to find a gossamer structure’s modal parameters. Furthermore, MFC® excitation produces less interference with suspension modes of the free-free torus than excitations from a conventional shaker. The use of multiple actuators is shown to properly excite the global modes of the structure and distinguish between pairs of modes at nearly identical resonant frequencies. Formulation of the MIMO test as well as the required postprocessing techniques are explained and successfully applied to an inflated Kapton® torus.

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Pham, The-Hanh, A. Nallanathan, and Ying-Chang Liang. "Iterative Receiver for Distributed Multi-Input Multi-Output (MIMO) Flat-Fading Channels." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.631.

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Mundarath, J. C., and J. H. Kotecha. "Multi-User Multi-Input Multi-Output (MU-MIMO) Downlink Beamforming Systems with Limited Feedback." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.737.

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Choi, Jun Won, Kyeongyeon Kim, Thomas J. Riedl, and Andrew C. Singer. "Iterative estimation of sparse and doubly-selective multi-input multi-output (MIMO) channel." In 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers. IEEE, 2009. http://dx.doi.org/10.1109/acssc.2009.5469912.

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Reports on the topic "MIMO (Multi-Input and Multi-Output)"

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Li, Jian. Multi-Input Multi-Output (MIMO) Radar - Diversity Means Superiority. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada487209.

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Haimovich, Alexander M. MIMO Radar: A Multi-Sensor Spatially Diverse Radar Architecture. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada495118.

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Burger, E. Critical Content Multi-purpose Internet Mail Extensions (MIME) Parameter. RFC Editor, January 2003. http://dx.doi.org/10.17487/rfc3459.

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Bernhard, Jennifer T. Enabling Technology for Multiple Input Multiple Output (MIMO) Systems on Mobile Military Platforms: Antennas, Switches, and Packaging. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada544844.

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