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第36届中国控制会议

作者： WANG Mengling Yan Huaicheng SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781538629185

In this paper,a neural network based model predictive control（MPC） strategy is proposed to for the cellular uptake（as a function of space and time） of a ***,a time/space separation method is used to transform the high-dimensional spatiotemporal data into low-dimensional temporal ***,the MPC strategy is posed using the identified temporal radial basis function neural network *** the solution of NN-based MPC is obtained by a golden section method that can shorten the solution time of the optimization *** accuracy and effectiveness of this approach are demonstrated on an example motivated by tissue engineering.

关键词： Cellular uptake rate distributed parameter system model predictive control neural network

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Robust Tracking control of Nonlinear Singularly Perturbed Systems 36

Robust Tracking Control of Nonlinear Singularly Perturbed Sy...

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第36届中国控制会议

作者： Jing Xu Yugang Niu the Key Laboratory of Advanced Control and Optimization for Chemical Process （East China University of Science and Technology） Ministry of Education

ISBN: (纸本)9781538629185

This paper presents a robust control scheme for the tracking control of singularly perturbed uncertain systems. The design problem is divided into two parts: tracking the reference trajectory and enhancing the robustness of the dynamic *** using the time-scale techniques, dynamic inversion approach and linear parameter-varying methods, a set of singularly perturbed state feedback controllers are employed to enhance the tracking performance and robustness of a dynamic system against parameter uncertainties, actuator and sensor unmodelled dynamics, and external disturbances. The longitudinal control of an F16 aircraft model is included to show the merits and and effectiveness of the proposed design scheme.

关键词： Self-scheduled Tracking control Singularly perturbed systems Robust control

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Multi-objective optimization of p-xylene oxidation process using an improved self-adaptive differential evolution algorithm

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Chinese Journal of Chemical Engineering 2017年第8期25卷 983-991页

作者： Lili Tao Bin Xu Zhihua Hu Weimin Zhong College of Engineering Shanghai Polytechnic University School of Mechanical Engineering Shanghai University of Engineering Science Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The rise in the use of global polyester fiber contributed to strong demand of the Terephthalic acid （TPA）. The liquid-phase catalytic oxidation of p-xylene （PX） to TPA is regarded as a critical and efficient chemical process in industry [ 1 ]. PX oxidation reaction involves many complex side reactions, among which acetic acid combustion and PX combustion are the most important. As the target product of this oxidation process, the quality and yield of TPA are of great concern. However, the improvement of the qualified product yield can bring about the high energy consumption, which means that the economic objectives of this process cannot be achieved simulta- neously because the two objectives are in conflict with each other. In this paper, an improved self-adaptive multi-objective differential evolution algorithm was proposed to handle the multi-objective optimization prob- lems. The immune concept is introduced to the self-adaptive multi-objective differential evolution algorithm （SADE） to strengthen the local search ability and optimization accuracy. The proposed algorithm is successfully tested on several benchmark test problems, and the performance measures such as convergence and divergence metrics are calculated. Subsequently, the multi-objective optimization of an industrial PX oxidation process is carried out using the proposed immune self-adaptive multi-objective differential evolution algorithm （ISADE）. optimization results indicate that application oflSADE can greatly improve the yield of TPA with low combustion loss without degenerating TA quality.

关键词： p-Xylene oxidation Operation condition optimization Multi-objective optimization Self-adaptive differential evolution

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The auxiliary controller design based on model-free control in the brain-machine interface

The auxiliary controller design based on model-free control ...

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第30届中国控制与决策会议

作者： Hongguang Pan Wenyu Mi Mei Wang Jinggao Sun College of Electric and Control Engineering Xi'an University of Science and Technology Key Laboratory of Advanced Control and Optimization Technology of Ministry of Education East China University of Science and Technology

In this paper, a model-free control(MFC) method is used to design an artificial feedback to compensate the lack of natural feedback and achieve the reaching task for a voluntary single joint. Considering the MFC only depends on the I/O data of system, and does not need the system model, it can avoid the complex analysis on the brain model, and reduce the difficulty of controller design. Moreover, through choosing different pseudo-partial-derivative values, the influence of the pseudo-partialderivative value is analyzed and a series of control results are given;further, the computing efficiency is improved drastically through a comparison in the simulation.

关键词： auxiliary controller model-free control brain-machine interface

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Improvement of Brain-Machine Interface Model on Dynamic Reaching Task

Improvement of Brain-Machine Interface Model on Dynamic Reac...

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第37届中国控制会议

作者： Jinggao Sun Rui Xue Hongguang Pan Jiaxiong Yang Shuo Wang Key Laboratory of Advanced Control and Optimization Technology of Ministry of Education East China University of Science and Technology School of Electrical and Control Engineering Xi'an University of Science and Technology

Based on the relative and required velocity integration to endpoint（RRVITE） model,we extend the neuroprosthetic model for voluntary single joint reaching task by adding the vector models related to relative speed information,which improves the model performance in dynamic reaching *** the synthetic simulation,we show that the extended model performs much better than the original one in motion prediction and steady state *** synthetic data obtained through the simulation of the original model,a linear decoder based on Weiner filter has been trained and introduced into the improved model to test its *** the evaluation results and the online test results show that the improved model can also enhance the performance of the BMI system with decoder.

关键词： Brain-Machine Interface Neural Activity Model Weiner Decoder

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Finite-time containment control of nonlinear multi-agent systems with non-singular terminal sliding mode

Finite-time containment control of nonlinear multi-agent sys...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Lu, Hui He, Wangli Han, Qing-Long Ge, Xiaohua Peng, Chen School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Software and Electrical Engineering Swinburne University of Technology MelbourneVIC3122 Australia

ISBN: (纸本)9781538666173

This paper is concerned with finite-time containment control problem for second-order nonlinear multi-agent systems with multiple dynamic leaders. Two new containment control protocols are developed to ensure that all followers converge to the dynamic convex hull spanned by the dynamic leaders in a finite time based on the terminal sliding mode and non-singular terminal sliding model, respectively. Moreover, the non-singular terminal sliding mode method is used to eliminate the singular problem associated with the terminal sliding mode control. Criteria on the existence of desired containment control protocols are also derived. Furthermore, the settling time is estimated under the proposed protocols. Simulation results illustrate the effectiveness of the developed theory in the last. © 2018 IEEE.

关键词： Multi agent systems

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Event-triggered decentralized predictive control for coupled linear systems 36

Event-triggered decentralized predictive control for coupled...

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第36届中国控制会议

作者： YUAN Fenglin ZOU Yuanyuan NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Key Laboratory of System Control and Information Processing Department of AutomationShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,we consider the problem of predictive control for a class of coupled linear *** solving a set of local optimization problems with decoupled cost functions and constraints,an event-triggered decentralized predictive control(DPC) scheme is *** event-triggering conditions only involving local information of every subsystem is derived and sufficient conditions of the recursive feasibility and the stability of close-loop control systems are also ***,a numerical example is given.

关键词： Coupled Linear Systems Decentralized Predictive control(DPC) Event-Triggered

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Model Reduction for Switched Genetic Regulatory Networks with Time-Varying Delays 36

Model Reduction for Switched Genetic Regulatory Networks wit...

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第36届中国控制会议

作者： Mengqi Xue Yang Tang Ligang Wu Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Research Institute of Intelligent Control and Systems Harbin Institute of Technology

ISBN: (纸本)9781538629185

The model reduction problem is studied in this work for the switched genetic regulatory networks（GRNs） with timevarying delays. The attention is focused on constructing a reduced-order model to approximate the considered high-order GRNs under that the switching signal is subject to some certain constraints, such that the error system between the original system and the reduced-order one is exponentially stable with a weighted H∞ performance. By utilizing the bounding technique as well as the dwell time method, the stability conditions and the weighted H performance are established for the error system. Then, the solvability conditions for the reduced-order models for the GRNs are also established by using the projection method. Finally,numerical simulation is presented to illustrate the effectiveness of the proposed method.

关键词： Switched System Genetic Regulatory Networks Model Reduction Time-Varying Delays

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Process Monitoring Based on Independent Component Contribution

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Journal of Donghua University(English Edition) 2017年第3期34卷 349-354页

作者：吕小条宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Independent component analysis( ICA) has been widely applied to the monitoring of non-Gaussian processes. Despite lots of applications,there is no universally accepted criterion to select the dominant independent components( ICs). Moreover, how to determine the number of dominant ICs is still an open question. To further address this issue,a novel process monitoring based on IC contribution( ICC) is proposed from the perspective of information storage. Based on the ICC with each variable,the dominant ICs can be obtained and the number of dominant ICs is determined objectively. To further preserve the process information, the remaining ICs are not useless. As a result,all the ICs are regarded to be divided into dominant and residual subspaces. The monitoring models are established respectively in each subspace, and then Bayesian inference is applied to integrating monitoring results of the two subspaces. Finally, the feasibility and effectiveness of the proposed method are illustrated through a numerical example and the Tennessee Eastman process.

关键词： Independent Eastman Tennessee Bayesian preserve illustrated criterion universally remaining integrating

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Multimode Process Monitoring Based on the Density-Based Support Vector Data Description

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Journal of Donghua University(English Edition) 2017年第3期34卷 342-348页

作者：郭红杰王帆宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Complex industry processes often need multiple operation modes to meet the change of production conditions. In the same mode,there are discrete samples belonging to this mode. Therefore,it is important to consider the samples which are sparse in the *** solve this issue,a new approach called density-based support vector data description( DBSVDD) is proposed. In this article,an algorithm using Gaussian mixture model( GMM) with the DBSVDD technique is proposed for process monitoring. The GMM method is used to obtain the center of each mode and determine the number of the modes. Considering the complexity of the data distribution and discrete samples in monitoring process,the DBSVDD is utilized for process monitoring. Finally,the validity and effectiveness of the DBSVDD method are illustrated through the Tennessee Eastman( TE) process.

关键词： Eastman Tennessee sparse utilized illustrated kernel Bayesian charts validity false

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