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An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input-multi-output gantry crane system

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JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL 2023年第4期42卷 1666-1698页

作者： Tumari, Mohd Zaidi Mohd Ahmad, Mohd Ashraf Suid, Mohd Helmi Ghazali, Mohd Riduwan Tokhi, M. Osman Univ Teknikal Malaysia Melaka Fac Elect & Elect Engn Technol Durian Tunggal Malaysia Univ Malaysia Pahang Fac Elect & Elect Engn Technol Pekan Malaysia London South Bank Univ Sch Engn London England Univ Teknikal Malaysia Melaka Fac Elect & Elect Engn Technol Durian Tunggal 76100 Malaysia Univ Malaysia Pahang Fac Elect & Elect Engn Technol Pekan 26600 Pahang Malaysia

Conventionally, researchers have favored the model-based control scheme for controlling gantry crane systems. However, this method necessitates a substantial investment of time and resources in order to develop an accurate mathematical model of the complex crane system. Recognizing this challenge, the current paper introduces a novel data-driven control scheme that relies exclusively on input and output data. Undertaking a couple of modifications to the conventional marine predators algorithm (MPA), random average marine predators algorithm (RAMPA) with tunable adaptive coefficient to control the step size (CF) has been proposed in this paper as an enhanced alternative towards fine-tuning data-driven multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller parameters for the multi-input-multi-output (MIMO) gantry crane system. First modification involved a random average location calculation within the algorithm's updating mechanism to solve the local optima issue. The second modification then introduced tunable CF that enhanced search capacity by enabling users' resilience towards attaining an offsetting level of exploration and exploitation phases. Effectiveness of the proposed method is evaluated based on the convergence curve and statistical analysis of the fitness function, the total norms of error and input, Wilcoxon's rank test, time response analysis, and robustness analysis under the influence of external disturbance. Comparative findings alongside other existing metaheuristic-based algorithms confirmed excellence of the proposed method through its superior performance against the conventional MPA, particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), salp-swarm algorithm (SSA), slime mould algorithm (SMA), flow direction algorithm (FDA), and the formally published adaptive safe experimentation dynamics (ASED)-based methods.

关键词： Marine predator algorithms neuroendocrine-PID gantry crane system metaheuristic algorithms multi-input-multi-output system

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Application of system identification in a practical active noise control system

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Control Theory and Technology 2024年第2期22卷 282-291页

作者： Yu Yuan Zhaoyang Sun Hongwei Zhang School of Mechanical Engineering Xihua UniversityChengdu610039SichuanChina School of Electrical Engineering Southwest Jiaotong UniversityChengdu611756SichuanChina School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen518055GuangdongChina

Noise pollution has become increasingly severe around the world due to fast urbanization. How to soundproof windows from outside noise is of significant interest for both academia and industry. This paper reports an experimental implementation of normalized minmax active noise control (ANC) algorithm on an open window system, where identifying the model of acoustic sound paths plays a central role. By doing this, traffic noise is attenuated by the ANC system, leading to a relatively quiet indoor environment, while the natural lighting and ventilation functions of a window are remained. Our experiments show that an average of 19 dB(A) noise reduction is achieved.

关键词： Active noise control multi-input-multi-output system Normalized minimax algorithm system identification

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Performance evaluation of adaptive based model predictive control for ethylene glycol production from dimethyl oxide hydrogenation

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INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING 2023年第7期21卷 859-878页

作者： Rohman, Fakhrony Sholahudin Sulaiman, Muhammad Syafiq Murat, Muhamad Nazri Aziz, Norashid Univ Sains Malaysia Sch Chem Engn Engn Campus Perai 14300 Penang Malaysia

Advance process control is a proven control and optimization technology delivering measurable and sustainable improvements in production yield, coupled with the added value of energy savings. In this work, an adaptive based model predictive control (aMPC) is developed and implemented to control the hydrogenation of dimethyl oxide to ethylene glycol (EG) in a plug flow reactor. The aMPC is compared with 3 other control schemes;proportional-integral (PI), decoupled PI (dPI) and linear model predictive control. The aim is to determine the reliability of aMPC in controlling the production rate and reactor temperature for an optimized hydrogenation reactor. The aspects compared include set point tracking, disturbance rejection and robustness test. The analysis concludes that the aMPC offers the best overall performance compared to the other control schemes.

关键词： adaptive control advance process control dimethyl oxide hydrogenation ethylene glycol model predictive control multi-input-multi-output system

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Iterative MMSE-based soft MIMO detection with parallel interference cancellation

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IET COMMUNICATIONS 2017年第11期11卷 1775-1781页

作者： Zhang, Meixiang Ahmed, Saleem Kim, Sooyoung Yangzhou Univ Coll Informat Engn Yangzhou 225009 Jiangsu Peoples R China Dawood Univ Engn & Technol Dept Comp Syst Engn Karachi 74800 Pakistan Chonbuk Natl Univ Div Elect Engn IT Convergence Res Ctr Jeonju 54896 South Korea

Minimum mean square error (MMSE)-based techniques are often used for the joint iterative detection and decoding that is for coded multi-input-multi-output (MIMO) system due to a sound complexity and the performance trade-off. This study proposes an enhanced MMSE-based soft MIMO-detection scheme by using three main ideas. The first idea is an efficient complexity-reduced soft-bit estimation technique, the second one is a performance improvement method utilised inside the MMSE detection process, and the third one is a complexity-reduced soft-symbol estimation method for quadrature amplitude modulation. The proposed ideas enable the interference-cancellation processes to be activated in parallel on each symbol layer, thereby reducing the processing time. The simulation results show that the proposed method efficiently contributes to the improvement of the performance in addition to its reduction of the linear-order complexity.

关键词： least mean squares methods MIMO communication iterative decoding quadrature amplitude modulation interference suppression iterative MMSE-based soft MIMO detection scheme parallel interference cancellation minimum mean square error based techniques joint iterative detection and decoding multi-input-multi-output system complexity-reduced soft-bit estimation technique performance improvement method complexity-reduced soft-symbol estimation method quadrature amplitude modulation

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Adaptive Observer Design for a Class of MIMO Nonlinear systems

Adaptive Observer Design for a Class of MIMO Nonlinear Syste...

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10th World Congress on Intelligent Control and Automation (WCICA)

作者： Zhao Lili Li Xiuliang Li Ping Zhejiang Univ State Key Lab Ind Control Technol Inst Ind Proc Control Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ State Key Lab Ind Control Technol Inst Cyber Syst & Control Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781467313988

For a class of uniformly observable nonlinear multi-input-multi-output (MIMO) systems with unknown parameters in both state and output equations, an adaptive observer is designed in a constructive manner based on the techniques of high gain observer and adaptive estimation. The high gain adaptive observer for joint state and unknown parameter estimation is conceptually simple. The new algorithm makes use of a time varying gain matrix for unknown parameter estimation, which simplifies the initialization and parameter tuning. In order to establish the global exponential convergence of the adaptive observer, a persistent excitation condition is required. Consequently, the global exponential convergence for simultaneous estimation of states and unknown parameters is formally established following a simple procedure. A numerical example is presented to illustrate the performance of this adaptive observer.

关键词： adaptive observer high gain observer nonlinear system multi-input-multi-output system

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Proactive product quality control: An integrated product and process control approach to MIMO systems

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CHEMICAL ENGINEERING JOURNAL 2009年第1-3期149卷 435-446页

作者： Liu, Zheng Xiao, Jie Huang, Yinlun Wayne State Univ Dept Chem Engn & Mat Sci Detroit MI 48202 USA

Real-time control of product performance parameters is a key for proactive quality control (QC), as it can prevent the occurrence of potential quality problems in the earliest stage of manufacturing. It is recognized that dynamic product QC must be coordinated with the control of the process through which the product is manufactured. The integrated product and process control (IPPC) design methodology introduced recently is a proven approach to the simultaneous control of both the product quality and the process performance. In this paper, a general IPPC design methodology for multi-input-multi-output (MIMO) systems is introduced. A case study on polymeric coating curing shows that the resulting control system is capable of effectively tracking the set-points of both the product and the process, and demonstrating a satisfactory performance in rejecting disturbances, thereby ensuring achievement of desirable product quality and process performance. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Product quality control Process control Integrated product and process engineering multi-input-multi-output system

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Target-oriented acoustic radiation generation technique for sound field control

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2006年第12期E89A卷 3671-3677页

作者： Wen, Yuan Yang, Jun Gan, Woon-Seng Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore Chinese Acad Sci Inst Acoust Beijing Peoples R China

A multiple-source system for rendering the sound pressure distribution in a target region can be modeled as a multi-input-multioutput (MIMO) system with the inputs being the source strengths and the outputs being the pressures on multiple measuring points/sensors. In this paper, we propose a target-oriented acoustic radiation generation technique (TARGET) for sound field control. For the MIMO system of a given geometry, a series of basic radiation modes, namely, target-oriented radiation modes (TORMs) can be derived using eigenvector analysis. Different TORMs have different contributions to the system control gain, which is defined as the ratio of the acoustic energy generated in the target zone to the transmitter output power. The TARGET can be effectively applied to the sound reproduction and suppression, which correspond the generations of bright and dark zone respectively. In acoustically bright zone generation and sound beamforming, the highest-gain TORM can be employed to determine the optimal source strengths. In active noise control, the strengths of the secondary sources can be derived using low-gain TORMs. Simulation results show that the proposed method has better or comparable performance than the traditional techniques.

关键词： sound field control target oriented radiation mode eigenvector analysis multi-input-multi-output system

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A multi-input-multi-output system approach for the computation of discrete fractional Fourier transform

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SIGNAL PROCESSING 2000年第8期80卷 1501-1513页

作者： Huang, DF Chen, BS Natl Tsing Hua Univ Dept Elect Engn Hsinchu 30043 Taiwan

In the last decade, there have been several approaches on the topic of computing discrete fractional Fourier transform (DFrFT). The purpose of this work is to provide a unified approach to improve the computation of DFrFT. Based on results by Ozaktas et al., a more general multirate filter structure is developed for the improvement of computing DFrFT. With introduction of block-input-block-output technique, a specific multirate filtering system can be converted to an equivalent linear time-invariant (LTI) multi-input-multi-output (MIMO) system. Other DFrFT algorithms based on matrix-vector multiplication can also be implemented by the similar structure. Therefore, a unified computation framework is developed for the multirate implementation of the DFrFT via the proposed MIMO system. Finally, for the implementation of DFrFT system, a corresponding fractional Fourier filter bank (FrFB) is also constructed as an extension of the conventional discrete Fourier transform (DFT) filter bank system. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： discrete fractional Fourier transform multi-input-multi-output system fractional Fourier filter bank

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A new approach to adaptive observer design for MIMO systems

A new approach to adaptive observer design for MIMO systems

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American Control Conference (ACC)

作者： Zhang, QH Delyon, B INRIA IRISA F-35042 Rennes France

ISBN: (纸本)0780364953

In this paper, we propose a new approach to the design of adaptive observers for multi-input-multi-output (MIMO) systems. It guarantees global convergence for joint state and parameter estimation, provided some persistent excitation condition is satisfied. It is conceptually simple and computationally efficient. It can be applied to MIMO linear systems for on-line continuous-time system identification, fault detection and isolation, and adaptive control.

关键词： adaptive observer multi-input-multi-output system continuous-time system joint state and parameter estimation system identification

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Adaptive observer with exponential forgetting factor for linear time varying systems

Adaptive observer with exponential forgetting factor for lin...

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40th IEEE Conference on Decision and Control

作者： Zhang, QH Clavel, A INRIA IRISA F-35042 Rennes France

ISBN: (纸本)0780370619

For the purpose of recursive joint estimation of state and parameters in continuous-time state space systems, the algorithm proposed in this paper improves the consistency of a recently developed adaptive observer for multi-input-multi-output (MIMO) linear time varying (LTV) systems. The new algorithm makes use of a time varying gain matrix for parameter estimation, instead of the constant gain matrix used by the previously reported algorithm. It is exponentially stable, converges in the mean for both state and parameter estimations. The covariance matrix of the parameter estimation error can be made arbitrarily small by choosing a sufficiently small forgetting factor.

关键词： adaptive observer joint state and parameter estimation multi-input-multi-output system linear time varying system forgetting factor

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