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第三十四届中国控制会议

作者： LIU Cheng-Lin LIU Fei Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

ISBN: (纸本)9781467374439

We investigate the consensus problem of heterogeneous second-order multi-agent systems under undirected and symmetric interconnection topology, and construct two adaptive consensus algorithms by introducing an adaptive variable into the usual dynamical consensus algorithm. Sufficient and necessary consensus criteria are obtained for two algorithms respectively based on matrix theory and graph theory. Numerical examples illustrate the validity of the theoretical results.

关键词： Consensus,Heterogeneous Second-order Multi-agent Systems,Adaptive Algorithms,Symmetric Topology

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Model reference adaptive control of unknown control gain and asymmetrical static output constraints 41

Model reference adaptive control of unknown control gain and...

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第41届中国控制会议

作者： Penghao Chen Fei Liu Key Laboratory of Advanced Process Control for Light Industry Ministry of EducationInstitute of AutomationJiangnan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The model reference adaptive control(MRAC) issue is addressed for a class of first-order linear time-invariant system(LTIS) with unknown control gain and asymmetric static output *** output constraints is efficiently handled by incorporating a barrier Lyapunov function(BLF).Completely unknown control gain is handled based on the Nussbaum *** the aid of Lyapunov synthesis method,the adaptive laws of unknown parameters are *** the properties of BLF and Barbalat's Lemma,it is proved that the tracking error converges asymptotically to zero while the output satisfies the *** comparison of the two simulation results is employed to demonstrate the efficacy of the suggested MRAC algorithm.

关键词： Model reference adaptive control Asymmetrical static output constraints Barrier Lyapunov function Unknown control gain Nussbaum function

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Weighted least square support vector machine integrated with parameter optimization and its application in chemical process

Weighted least square support vector machine integrated with...

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2012 8th International Conference on Natural Computation, ICNC 2012

作者： Cui, Wen-Tong Yan, Xue-Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781457721311

Considering that outliers can disrupt the correlation structure of least square support vector machine (LS-SVM), and that the parameters of LS-SVM play an important role in the performance, a novel weighted least square support vector machine integrated with parameter optimization is proposed to obtain the optimal parameters and to eliminate the effect of outliers. Several LS-SVM variants are applied in simulation experimentation and chemical process respectively to demonstrate the satisfactory performance of the proposed method. © 2012 IEEE.

关键词： Vectors

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A hybrid method for identifying T-S fuzzy models

A hybrid method for identifying T-S fuzzy models

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Wang, Honggang Zhao, Liang Du, Wenli Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781612841816

This paper presents a hybrid approach to extract compact Takagi-Sugeno fuzzy models from numeric data, using subtractive clustering (SC), particle swarm optimization (PSO) and least square method. The feature of this method lies in the following: (1) the input space is partitioned and initial fuzzy rule bases are extracted by SC;(2) the optimal parameters of the membership functions are evolved by PSO, based on the initial fuzzy rule bases;(3) the consequent parameters of the rule base are analytically derived by the Moore-Penrose pseudo inverse, instead of being iteratively tuned. Simulation results in Mackey-Glass chaotic time series prediction and nonlinear plant modeling problems show that the proposed method is effective and robust in finding compact and accurate T-S fuzzy models. © 2011 IEEE.

关键词： Membership functions

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A Competitive Swarm Optimizer Integrated with Cauchy and Gaussian Mutation for Large Scale optimization 36

A Competitive Swarm Optimizer Integrated with Cauchy and Gau...

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第36届中国控制会议

作者： Qiang Zhang Hui Cheng Zhencheng Ye Zhenlei Wang Key Laboratory of Advance Control and optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781538629185

Competitive swarm optimizer（CSO） has shown promising results for solving large scale global optimization problems proposed ***,CSO shows insufficient exploitation of the *** this paper,a competitive swarm optimizer integrated with Cauchy and Gaussian mutation（CGCSO） is proposed for large scale *** new algorithm does not only update the losers’ positions with the CSO method,but also update the winners’ positions by Cauchy and Gaussian mutation to improve the exploitation capability of the ***,CGCSO utilizes the ring topology to enhance the swarm diversity and alleviate premature convergence.A comparative study between CGCSO and CSO evaluated on the CEC’08 benchmark functions has been carried *** experimental results indicate that CGCSO performs better on the whole,especially on the non-separable functions and 500-dimensional problems.

关键词： Competitive Swarm Optimizer Cauchy Mutation Neighborhood Topology Particle Swarm optimization Large Scale optimization

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A fast MPC algorithm for reducing computation burden of MIMO

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Chinese Journal of chemical Engineering 2015年第12期23卷 2087-2091页

作者：祁荣宾梅华陈超钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

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.

关键词： Fast MPC algorithm Computation burden One-bit operation Dimension reduction

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Explicit MPC for multi-rate control systems

Explicit MPC for multi-rate control systems

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作者： Jiang, Yali Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

ISBN: (纸本)9780956715708

In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive control systems can be formulated by solving a multiparametric linear program (mp-LP), and the explicit state feedback control laws are developed. Further, based on the closed-loop multi-rate piecewise affine (PWA) structure, stability analysis is presented by linear matrix inequality (LMI). The simulation results show the effectiveness of the explicit MPC for multi-rate system. © 2011 Shanghai Jiaotong Univ.

关键词： Linear matrix inequalities

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A data-driven soft sensor modeling for furnace temperature of opposed multi-burner gasifier

A data-driven soft sensor modeling for furnace temperature o...

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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Li, Jie Zhong, Weimin Cheng, Hui Kong, Xiangdong Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781424499533

The Opposed Multi-Burner (OMB) Coal-Water Slurry (CWS) gasification is a new large-scale coal gasification technology with higher product yield, lower oxygen and coal consumption than that of Texaco CWS gasification technology. However, current furnace temperature measurements of OMB and other gaisifiers are unstable and even short-life due to the extreme internal environment: high temperature, strong corrosion, etc. Therefore a new data-driven soft sensor modeling technique for furnace temperature of OMB gasifier is proposed and the selection of secondary variables and model structure of BP neural network is studied in this paper. Results indicate that, the furnace temperature predictive model integrating Principal Component Analysis (PCA) and BP neural network has a promising performance with good predictive precision. © 2011 IEEE.

关键词： Coal

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On-line Signature Verification Based on Gaussian Mixture Models 29

On-line Signature Verification Based on Gaussian Mixture Mod...

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第29届中国控制与决策会议

作者： Lou Yang Mandan Liu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology East China University of Science and Technology

ISBN: (纸本)9781509046584

In this paper for on-line signature verification,wavelet packet analysis will be used to extract dynamic local features,combining global features to keep distortionless in signature *** importantly,in order to overcome shortcomings that the traditional expectation maximization algorithm seriously depends on parameters initialization and easily falls into local optimum when used to train Gaussian Mixture Models,we first employ an improved Splitting-EM algorithm based on Bayesian Ying-Yang learning system to train Gaussian Mixture ***-EM algorithm can search for optimal number of Gaussian components so that a unique,user-dependent signature model can be established to ensure a better *** show that the verification accuracy based on wavelet packet analysis to extract features and Splitting-EM algorithm training Gaussian Mixture Models reaches 95.8%,which is a satisfactory verification result.

关键词： On-line Signature Verification Gaussian Mixture Models Splitting-EM Algorithm Bayesian Ying-Yang Learning System

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Accuracy analysis for distributed dynamic state estimation in large-scale systems with a cyclic network graph

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Science China(Information Sciences) 2023年第9期66卷 78-93页

作者： Mingyan ZHU Rui WANG Xiaodong MIAO Tianju SUI School of Control Science and Engineering Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Aeronautics and Astronautics Dalian University of Technology Key Laboratory of Advanced Technology for Aerospace Vehicles School of Mechanical and Power Engineering Nanjing Tech University

This paper addresses a distributed dynamic state estimation problem in large-scale systems characterized by a cyclic network graph. The objective is to develop a distributed estimation algorithm for each node to generate local state estimations, based on the coupled measurements and boundary information exchanged with neighboring nodes. Our proposed approach is grounded in the maximum a posteriori(MAP)estimation method, which yields suboptimal results in acyclic network graphs compared with the centralized MAP approach. We extend this approach to systems with a cyclic network graph. Furthermore, we provide an accuracy analysis by deriving bounds for the differences in estimation error covariance and state estimation between the proposed distributed algorithm and the suboptimal centralized MAP method. These bounds apply to a specific category of systems that satisfy certain conditions, including cyclic topology and sparse connections. We demonstrate that these bounds converge asymptotically, with the rate of convergence determined by the loop-free depth of the graph. The loop-free depth of the graph refers to the maximum number of nodes that can be traversed in a cycle without revisiting any node. Finally, we demonstrate the validity of the algorithm through numerical examples.

关键词： distributed state estimation maximum a posteriori estimation cyclic network graph

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