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multiple-input multiple-output non-stationary non-Gaussian random vibration control by inverse system method

MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2019年 124卷 124-141页

作者： Zheng, Ronghui Chen, Huaihai He, Xudong Vandepitte, Dirk Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Coll Aerosp Engn Nanjing 210016 Jiangsu Peoples R China Katholieke Univ Leuven Dept Mech Engn Kasteelpk Arenberg 41 B-3001 Leuven Belgium

This paper investigates the control method for multi-input multi-output non-stationary non-Gaussian random vibration test with the specified references composed of stationary power spectra, moving root mean square distributions and moving kurtosis distributions. The objective of random vibration test is to force the response signals of test structure to satisfy the specified references within tolerances. An inverse system method in time domain is used to guarantee the control of response time-frequency characteristics independently and simultaneously. The evolutionary spectrum theory is utilized to establish the matrix representation of non-stationary non-Gaussian input-output relationships of a linear dynamic system in frequency domain. To analyze a non-stationary non-Gaussian vibration signal, two sets of random numbers named moving root mean square and moving kurtosis are used to modulate a stationary random signal. The transformation process theory is utilized to obtain moving root mean square and moving kurtosis by a moving root mean square distribution and a moving kurtosis distribution respectively. The control algorithms are presented to update the drive signals according to the deviations between responses and references. A numerical example by a cantilever beam and a biaxial vibration test are carried out and the results demonstrate the feasibility and validity of the proposed methods. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： multi-input multi-output Vibration test Non-Gaussian Non-stationary Inverse system method

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Fault-tolerant output-constrained control of unknown Euler-Lagrange systems with prescribed tracking accuracy

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AUTOMATICA 2020年 111卷 108606-000页

作者： Zhang, Jin-Xi Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China

This paper explores the output-constrained tracking control problem for unknown Euler-Lagrange systems subject to actuator faults, in the case where the reference trajectory is unknown in advance. The presence of actuator faults may lead to the loss of strong controllability of the system assumed in the existing literature on robust control of multi-input multi-output nonlinear systems. The lack of a priori knowledge on the reference trajectory renders the current constraint-handling techniques to achieve prescribed tracking accuracy infeasible. To conquer the above obstacles, a novel fault compensation scheme is designed in this paper, and a new-type error boundary is introduced to the control design. It is proved that the proposed approach guarantees output tracking with prescribed accuracy and constraint satisfactions simultaneously, even if actuator faults occur. A comparative simulation on a robot manipulator is conducted to further illustrate the established theoretical findings. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Nonlinear systems multi-input multi-output Actuator faults output constraints Prescribed accuracy

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Design Optimization of a MIMO Receiver for Diffusion-based Molecular Communication

Design Optimization of a MIMO Receiver for Diffusion-based M...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Dambri, Oussama Abderrahmane Abouaomar, Amine Cherkaoui, Soumaya Univ Sherbrooke Dept Elect & Comp Engn Sherbrooke PQ Canada

ISBN: (纸本)9781538676462

Path loss is a main challenge in Molecular Communications. When molecules carry information based only on a natural diffusion, the number of molecules that can be received is inversely proportional to the square distance between the transmitter and the receiver, thus hugely impacting the received signal strength. The use of a multi-input multi-output (MIMO) technique can improve the performance of molecular communications by increasing the data rate. In this paper, we studied the receiver used in molecular MIMO communications. We focused on three important parameters for the receiver design, which are the channel distance, the distance between the detectors constructing the receiver and the detectors diameter. To optimize the design of a 3x3 MIMO receiver, we used AcCoRD simulator to obtain 3D stochastic simulations for each scenario. We evaluated the simulation results by studying the error probability and the number of molecules representing the signal strength. We then proposed two optimization problems that aim at optimizing the receiver parameters choice, and two algorithms to solve the problems. The study shows that a judicious choice of the three parameters combination can optimize MIMOs receiver design, which can decrease the error probability and improve the performance of Molecular Communication.

关键词： Diffusion Molecular communication multi-input multi-output Path loss AcCoRD simulator

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Modeling and Control of multi-Port DC/DC Converter 28

Modeling and Control of Multi-Port DC/DC Converter

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28th IEEE International Symposium on Industrial Electronics (IEEE-ISIE)

作者： Alomari, Sara Smadi, Issam Jordan Univ Sci & Technol Elect Irbid Jordan

ISBN: (纸本)9781728136660

A comprehensive mathematical modeling and control design for an isolated multi-port DC/DC converter for photovoltaic (PV) generation systems is discussed in this paper. The adopted converter is a modified flyback converter consisting of three ports, namely, a photovoltaic (PV) module input port, a bi-directional battery port, and an isolated output port. The output port is receiving its demanded power without any interruption,while the power extracted from the PV module is maximized adopting a maximum power point tracking (MPPT) controller. Moreover, to improve the overall efficiency of the system, synchronous rectification switches are used on the secondary side of the isolation transformer. Set of simulations using MATLAB/Simulink are done to show the effectiveness of the proposed converter under different operating conditions.

关键词： multi-port DC/DC converter isolated multi-input multi-output decoupling control small-signal modeling

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Reduced Complexity Channel Estimation Method for multi input multi output-Orthogonal Frequency Division multiplexing Systems by Subspace Tracking

Reduced Complexity Channel Estimation Method for Multi Input...

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3rd IEEE International Advance Computing Conference (IACC)

作者： Miriyala, Ganesh Kaul, Amit Nath, Ravinder Natl Inst Technol Hamirpur Dept Elect Engn Hamirpur India

ISBN: (纸本)9781467345286

In multi input multi output orthogonal frequency division multiplexing systems, a group of low complexity subspace based time domain channel estimation methods are studied. These methods are based on parametric channel model, where the response of the channel is considered as a collection of sparse propagation paths. Considering the channel correlation matrix, translate estimation of channel parameters into an unconstrained minimized problem. To solve this problem, subspace tracking based Kalman filter method is proposed, which employs the constant subspace to construct state equation and measurement equation. The Least Mean Square and Recursive Least Square algorithms are applied and evaluated. These methods represent a group of low complexity subspace schemes. The approach can be extended to multi carrier code-division multiple-access systems. The simulation results prove that the Kalman filter method in time domain channel estimation can track faster fading channel, and is more accurate with low complexity.

关键词： Channel estimation Kalman filter low complexity low rank adaptive filter multi-input multi-output orthogonal frequency division multiplexing subspace tracking and time varying channel

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multivariable adaptive neural network predictive control in the presence of measurement time-delay;application in control of Vinyl Acetate monomer process

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JOURNAL OF PROCESS CONTROL 2018年 66卷 39-50页

作者： Pazhooh, Faramarz Shahraki, Farhad Sadeghi, Jafar Fakhroleslam, Mohammad Univ Sistan & Baluchestan Dept Chem Engn POB 98164-161 Zahedan Iran Univ Tehran Univ Coll Engn Sch Chem Engn POB 11155-4563 Tehran Iran

As an integral part of a plantwide control system for large-scale nonlinear systems with non-measurable states and time-delay in measured outputs, a multi-input multi-output (MIMO) adaptive neural network predictive controller (ANNPC) is presented. A neural network model-based observer is used in the structure of the proposed controller to estimate the unknown states. Then, an adaptive predictor is designed based on the observer and is employed to predict non-measurable states. Stability of the proposed observer and controller is proved using Lyapunov function theorem. The proposed controller is used as a part of the control system of a Vinyl Acetate monomer (VAM) process. A new partially centralized structure is developed for plantwide control of the process and the efficiency of the proposed controller particularly in diminishing the effect of measurement time-delay is shown, in-silico, by numerical simulation of a VAM plant under control. The obtained results are compared with the results of the conventional PI-based control system of VAM process. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Adaptive observers Predictive control Time-delay Neural networks multi-input multi-output Vinyl acetate monomer process

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Robust model predictive control of a catalytic autothermal methane reformer for fuel cell applications

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CONTROL ENGINEERING PRACTICE 2018年 76卷 31-40页

作者： Sartipizadeh, Hossein Vincent, Tyrone L. Colorado Sch Mines Dept Elect Engn Golden CO 80401 USA Univ Texas Austin Austin TX 78712 USA

Model uncertainty is an inseparable part of a methane reforming process since many of its main parameters describe microscale behavior. A robust control approach for a catalytic fuel reformer is presented to guarantee performance constraints are met even in the presence of model uncertainty. The control strategy is based on a recently developed sampling-based robust model predictive control (RMPC) with a new approach to capturing the uncertainty. Particular features of the control strategy is the use of a metric for coking susceptibility as a constraint on the inlet gas composition, a cost based metric for evaluating decisions on controller commands, and the ability to meet constraints on reactor temperature, outlet gas energy content, and hydrogen to carbon monoxide ratio. Simulation results carried out in MATLAB on random plants show the constraints are met regardless the model uncertainty and measurement noise.

关键词： Methane reforming Model uncertainty Measurement noise Robust model predictive control Economic control multi-input multi-output

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Channel-Reconstruction-Based Hybrid Precoding for Millimeter-Wave multi-User MIMO Systems

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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2018年第2期12卷 383-398页

作者： Castellanos, Miguel R. Raghavan, Vasanthan Ryu, Jung H. Koymen, Ozge H. Li, Junyi Love, David J. Peleato, Borja Purdue Univ W Lafayette IN 47907 USA Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Purdue Univ Elect & Comp Engn Dept W Lafayette IN 47907 USA Qualcomm Flarion Technol Inc Bridgewater NJ 08807 USA

The focus of this paper is on multi-user multi-input multi-output transmissions for millimeter-wave systems with a hybrid precoding architecture at the base station. To enable multi-user transmissions, the base station uses a cell-specific codebook of beamforming vectors over an initial beam alignment phase. Each user uses a user-specific codebook of beamforming vectors to learn the top-P (where P >= 1) beam pairs in terms of the observed signal-to-noise ratio (SNR) in a single-user setting. The top-P beam indices along with their SNRs are fed back from each user and the base station leverages this information to generate beam weights for simultaneous transmissions. A typical method to generate the beam weights is to use only the best beam for each user and either steer energy along this beam, or to utilize this information to reduce multi-user interference. The other beams are used as fall-back options to address blockage or mobility. Such an approach completely discards information learned about the channel condition(s) even though each user feeds back this information. With this background, this paper develops an advanced directional precoding structure for simultaneous transmissions at the cost of an additional marginal feedback overhead. This construction relies on three main innovations: first, additional feedback to allow the base station to reconstruct a rank-P approximation of the channel matrix between it and each user;second, a zero-forcing structure that leverages this information to combat multi-user interference by remaining agnostic of the receiver beam knowledge in the precoder design;and third, a hybrid precoding architecture that allows both amplitude and phase control at low complexity and cost to allow the implementation of the zero-forcing structure. Numerical studies show that the proposed scheme results in a significant sum rate performance improvement over naive schemes even with a coarse initial beam alignment codebook.

关键词： Millimeter wave multi-input multi-output multi-user beamforming hybrid precoding phase and amplitude control zeroforcing generalized eigenvector channel estimation

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An iterative LMI approach for H_∞ synthesis of multivariable PI/PD controllers for stable and unstable processes

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CHEMICAL ENGINEERING RESEARCH & DESIGN 2018年 132卷 606-615页

作者： Merrikh-Bayat, Farshad Univ Zanjan Dept Elect & Comp Engn Zanjan Iran

An iterative linear matrix inequality (LMI) approach for designing multi-input multi-output (MIMO) PI/PD controller for stable/unstable multivariable processes is proposed in this paper. For this purpose, the matrix gains of controller are calculated such that the closed-loop system be stable, and simultaneously, the infinity norm of the weighted sensitivity function is minimized. This problem is mathematically formulated using the well-known bounded real lemma (BRL). The matrix inequality of the BRL is nonlinear because of multiplication of the variable of Lyapunov equation and gains of controller. To remove this nonlinearity, first a solution to the Lyapunov LMI is calculated using some necessary-type LMIs developed for this purpose. Then, this solution is substituted in the BRL to arrive at an LMI whose solution determines the gains of a stabilizing MIMO PI/PD controller which also minimizes the infinity norm of the weighted sensitivity function. If the resulting controller was not satisfactory, one can use the proposed iterative algorithm to improve its performance. The proposed method is used for tuning MIMO PI/PD for four stable/unstable MIMO processes. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

关键词： Bounded real lemma H-infinity control PID tuning multivariable process multi-input multi-output

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Hybrid Precoding Design for MIMO System With One-Bit ADC Receivers

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IEEE ACCESS 2018年 6卷 48478-48488页

作者： Hou, Qitong Wang, Rui Liu, Erwu Yan, Dongliang Tongji Univ Sch Elect & Informat Engn Shanghai 201804 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Shaanxi Peoples R China

When wireless transmission is performed over the bandwidth in the order of a gigahertz, high-resolution analog-to-digital converters (ADCs), and the large number of radio frequency chains significantly increase the power consumption. To address this issue, one promising technique is to use low-resolution, even one-bit ADCs. Another promising technique is to apply a hybrid precoding architecture to reduce the number of RF chains. In this paper, we propose to combine those techniques to reduce the hardware costs in multi-input multi-output system. Our objective is to optimize the hybrid precoder with the aim of increasing the achievable rate. To this end, we first derive an expression for the achievable rate in flat fading channels based on the Bussgang theorem, which is able to reformulate the nonlinear quantitative process as a linear function with identical first- and second-order statistics. To solve the non-convex hybrid precoding design problem, we treat the hybrid precoding design as a matrix factorization problem, which can be solved with an efficient alternating minimization algorithm. That is, we solve the digital precoder and the analog precoder in an alternative way in two separate subproblems. To find the optimal precoder in the first subproblem, we first prove the optimal structure of the digital precoding matrix. With it, we transfer the digital precoding design to a power allocation problem, the closed-form solution of which is then optimally found by using Karush-Kuhn-Tucker conditions. In the second subproblem, due to the non-convex modulus-norm constraint, it is challenging to directly solve the analog precoder. To resolve this problem, we propose to optimize the phases in the analog precoding matrix and adopt the subgradient algorithm to find the local optimal solution. Our simulation results show that the proposed hybrid precoding design effectively improves the achievable rates.

关键词： multi-input multi-output analog-to-digital converter one-bit quantization hybrid precoding alternating minimization

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