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Improved High Order Model-Free Adaptive Iterative Learning control with Disturbance Compensation and Enhanced Convergence

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 343-355页

作者： Zhiguo Wang Fangqing Gao Fei Liu Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan UniversityWuxi214122China

In this paper,an improved high-order model-free adaptive iterative control(IHOMFAILC)method for a class of nonlinear discrete-time systems is proposed based on the compact format dynamic linearization *** method adds the differential of tracking error in the criteria function to compensate for the effect of the random ***,a high-order estimation algorithmis used to estimate the value of pseudo partial derivative(PPD),that is,the current value of PPD is updated by that of previous *** the rapid convergence of the maximumtracking error is not limited by the initial value of *** convergence of the maximumtracking error is deduced in *** method can track the desired output with enhanced convergence and improved tracking *** examples are used to verify the convergence and effectiveness of the proposed method.

关键词： Pseudo partial derivative enhanced convergence tracking error disturbance compensation

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Challenges and Breakthroughs in Single-Atom Catalysts for Electrocatalytic Nitrate Reduction to Ammonia

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ACS Sustainable Chemistry and Engineering 2025年第19期13卷 6875-6899页

作者： Wang, Yang Li, Jin Xing, Xiujing Lv, Yaokang Xiong, Wei Lyu, Renliang Li, Hao Key Laboratory of Green Chemical Engineering Process of Ministry of Education School of Chemistry and Environmental Engineering Wuhan Institute of Technology Wuhan 430205 China Chemistry Department University of California Davis 95616 CA United States College of Chemical Engineering Zhejiang University of Technology Hangzhou 310014 China Advanced Institute for Materials Research (WPI-AIMR) Tohoku University Sendai 980-8577 Japan

Single-atom catalysts (SACs) represent a novel category of catalytic materials with substantial potential for the electrocatalytic reduction of nitrate to ammonia (NO3RR). These catalysts possess multiple advantages, ... 详细信息

Single-atom catalysts (SACs) represent a novel category of catalytic materials with substantial potential for the electrocatalytic reduction of nitrate to ammonia (NO₃RR). These catalysts possess multiple advantages, such as excellent atom utilization, electrocatalytic activity, and selectivity, along with tunable composition, structure, and unique electronic properties. These features endow them with great significance and wide application in the NO₃RR field. Currently, extensive research is being carried out to engineer highly efficient SACs for NO₃RR. This perspective elucidates the merits of SACs and their underlying catalytic mechanisms. It enumerates several common SAC preparation methods and characterization techniques, highlighting the crucial role of density functional theory calculations in guiding the design and development of efficient SACs. The recent practical applications of SACs in NO₃RR and several strategies for enhancing their performance are also discussed in this perspective. Finally, some insights into future research directions in this vital area are provided. © 2025 American chemical Society.

关键词： catalytic mechanism exploration electrocatalytic nitrate reduction energy performance optimization single-atom catalysts synthesis method innovation

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Pareto-Based Complete Local Search and Combined Timetabling for Multi-objective Job Shop Scheduling Problem with No-Wait Constraint

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Journal of Donghua University(English Edition) 2016年第4期33卷 601-609,624页

作者：杨玉珍顾幸生 School of Electrical Engineering Shanghai Dianji University Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Job shop scheduling has become the basis and core of advanced manufacturing technology. Various differences exist between academic research and practical production. The majority of previous researches on job shop scheduling problem (JSSP)describe the basic production environment, which have a single objective and limited constraints. However,a practical process of production is characterized by having multiple objectives,no-wait constraint,and limited storage. Thus this research focused on multiobjective,no-wait JSSP. To analyze the problem,it was further divided into two sub-problems, namely, sequencing and timetabling. Hybrid non-order strategy and modified complete local search with memory were used to solve each problem individually. A Pareto-based strategy for performing fitness assessment was presented in this study. Various experiments on benchmark problems proved the feasibility and effectiveness of the proposed algorithm.

关键词： Pareto Scheduling scheduling constraints benchmark crossover fitness performing objectives sequencing

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Prescribed-time distributed localization of multi-agent systems based on local bearing information 43

Prescribed-time distributed localization of multi-agent syst...

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43rd Chinese control Conference, CCC 2024

作者： Lv, Yunkai Yan, Huaicheng Rao, Kai Yang, Penghui East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China

ISBN: (纸本)9789887581581

This work considers the localizability of multi-agent systems based on local bearing measurement. A novel prescribed-time orientation estimation algorithm is first proposed to guarantee that the local reference frame of the follower agent is aligned with the global one. The orientation estimation algorithm is then applied to the problem of position estimation, and a prescribed-time distributed localization estimation algorithm is deigned. The global convergence is derived based on the cascade system. Some simulation results are provided to prove the effectiveness of the proposed estimation methods. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Local bearing information orientation estimation prescribed-time

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Finite-time 2-∞ control of Markovian jump linear systems with partly accessible hidden information via asynchronous output feedback 11

Finite-time 2-∞ control of Markovian jump linear systems wi...

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2017 11th Asian control Conference, ASCC 2017

作者： Song, Jun Niu, Yugang Zhao, Haijuan Cao, Zhiru Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Ministry of Education Shanghai200237 China

ISBN: (纸本)9781509015733

This work addresses the asynchronous finite-time 2-∞ control problem for discrete-time Markovian jump linear systems (MJLSs) via static output feedback strategy. The asynchronous phenomenon between the system mode and controller mode is represented as a hidden Markov model. Compared with the existing literature, the strict assumption on the mode observation conditional probability matrix (MOCPM) of a hidden Markov model is removed in this work. By means of matrix inequality techniques, sufficient conditions are attained to ensure both of the finite-time stochastic boundedness and the finite-time 2-∞ disturbance attenuation performance of the MJLSs subject to partly accessible MOCPM. Furthermore, an algorithm is established to solve asynchronous control gains. Finally, the multiplier-accelerator macroeconomic system is provided to illustrate the effectiveness and applicability of the proposed design scheme. © 2017 IEEE.

关键词： Hidden Markov models

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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning

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International Journal of Agricultural and Biological Engineering 2017年第5期10卷 144-153页

作者： Yao Jian Guan Jiyu Zhu Qibing Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxi 214122China

Bruise susceptibility in fruits is an important indicator in evaluating risk factors for bruising caused by external *** of the bruising susceptibility of fruit can provide useful information for proper postharvest handling and storage *** this study,visible and shortwave near-infrared(Vis/SWNIR)technique was used to develop nondestructive method for predicting the bruise susceptibility of ***/SWNIR spectra covering 400-1100 nm were collected for 300‘Golden Delicious’apples over a time period of three weeks after harvest.A pendulum-like device was used to simulate impact bruise at three impact energy levels of 1.11 J,0.66 J and 0.33 *** volumes were estimated from the digital images of the bruised apples by using the bruise thickness *** prediction models,*** least squares model(PLS),partial least squares model combined with successful projection algorithm(SPA-PLS),and selective ensemble learning based on feature selection(SELFS),for bruise susceptibility were developed for each impact energy level as well as for the pooled *** with PLS and SPA-PLS model,SELFS gave the better prediction results for bruise susceptibility,with the correlation coefficient of R_(p)=0.800-0.886 for the prediction set,the root-mean-square error of 38.7-62.1 mm^(3)/J for the prediction set(RMSEP),and the residual predictive deviation(RPD)of 1.78-2.14 for three impact energy *** three impact energy levels,the RMSEP and RPD value obtained by SELFS model improved by 14.8%-20.0%and 15.0%-24.5%compared to PLS model,and 11.4%-21.2%and 11.5%-27.1%compared to SPA-PLS model,*** SELFS model achieved relatively lower prediction accuracies for the pooled data,with the R_(p) values of 0.731,RMSEP of 85.46 mm^(3)/J,and RPD of 1.46,which were also better than that of PLS model and SPA-PLS *** research demonstrated that Vis/SWNIR technique combined with ensemble learning is promising technique for rapid assessment of

关键词： apple nondestructive detection bruise susceptibility visible/short-wave near-infrared technique ensemble learning

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A hybrid discrete harmony search algorithm for flow shop scheduling with limited buffers 3

A hybrid discrete harmony search algorithm for flow shop sch...

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3rd International Workshop on advanced Computational Intelligence and Intelligent Informatics, IWACIII 2013

作者： Cui, Zhe Gu, Xing-Sheng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

The flow shop scheduling problem with limited buffers is widely existing in manufacturing systems. This article proposes a hybrid discrete harmony search algorithm for the problem to minimize total flow time. The algorithm presents a novel discrete improvisation and a differential evolution scheme with the job-permutation-based representation. Moreover, the discrete harmony search is hybridized with the problem-dependent local search based on insert neighborhood to balance the global exploration and local exploitation. In addition, an orthogonal experiment design is employed to provide a receipt for turning the adjustable parameters of the algorithm. Comparisons based on the Taillard benchmarks indicate the superiority of the proposed algorithm in terms of effectiveness and efficiency.

关键词： Manufacture

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Solving chemical dynamic optimization problems with ranking-based differential evolution algorithms

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Chinese Journal of chemical Engineering 2016年第11期24卷 1600-1608页

作者： Xu Chen Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 China

Dynamic optimization problems(DOPs) described by differential equations are often encountered in chemical engineering. Deterministic techniques based on mathematic programming become invalid when the models are non-differentiable or explicit mathematical descriptions do not exist. Recently, evolutionary algorithms are gaining popularity for DOPs as they can be used as robust alternatives when the deterministic techniques are invalid. In this article, a technology named ranking-based mutation operator(RMO) is presented to enhance the previous differential evolution(DE) algorithms to solve DOPs using control vector parameterization. In the RMO, better individuals have higher probabilities to produce offspring, which is helpful for the performance enhancement of DE algorithms. Three DE-RMO algorithms are designed by incorporating the RMO. The three DE-RMO algorithms and their three original DE algorithms are applied to solve four constrained DOPs from the literature. Our simulation results indicate that DE-RMO algorithms exhibit better performance than previous non-ranking DE algorithms and other four evolutionary algorithms.

关键词： Dynamic optimization Differential evolution Ranking-based mutation operator control vector parameterization

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A fast MPC algorithm for reducing computation burden of MIMO

A fast MPC algorithm for reducing computation burden of MIMO

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作者： Qi, Rongbin Mei, Hua Chen, Chao Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems. © 2015 Elsevier B.V.

关键词： MIMO systems

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Bayesian estimation for nonlinear stochastic hybrid systems with state dependent transitions

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Journal of Systems Engineering and Electronics 2012年第2期23卷 242-249页

作者： Shunyi Zhao Fei Liu Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan UniversityWuxi 214122P.R.China

The Bayesian approach is considered as the most general formulation of the state estimation for dynamic systems. However, most of the existing Bayesian estimators of stochastic hybrid systems only focus on the Markov jump system, few liter- ature is related to the estimation problem of nonlinear stochastic hybrid systems with state dependent transitions. According to this problem, a new methodology which relaxes quite a restrictive as- sumption that the mode transition process must satisfy Markov properties is proposed. In this method, a general approach is presented to model the state dependent transitions, the state and output spaces are discreted into cell space which handles the nonlinearities and computationally intensive problem offline. Then maximum a posterior estimation is obtained by using the Bayesian theory. The efficacy of the estimator is illustrated by a simulated example .

关键词： Bayesian estimation nonlinear stochastic hybrid sys- tem state dependent transition cell space.

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