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Simulation, analysis and optimization of an in situ gas stripping fermentation process in a laboratory scale for bioethanol production

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chemical Engineering Transactions 2014年 37卷 295-300页

作者： Ponce, Gustavo H.S.F. Miranda, Júlio C.C. Alves, Moisés Wolf, Maria R.M. Filho, Rubens Maciel De Andrade, Rafael R. De Conto, Leilane C. Laboratory of Optimization Design and Advanced Control School of Chemical Enginnering P.O. Box 6066 13083-970 Campinas-SP Brazil Department of Exact and and Earth Sciences Federal University of São Paulo 09972-270 Diadema-SP Brazil Federal Institute of Education Science and Technology of Santa Catarina 88625-000 Urupema-SC Brazil

The major problem associated with the bioconversion of ethanol for industrial fuel purposes is the ethanol inhibition in the fermentation process. One way to solve this problem is couple fermentation to a continuous product removal technique. The gas stripping in situ removal process has a number of advantages over other techniques, for example: it is simple, inexpensive to operate and do not harm the culture. In this work, the feasibility of in situ gas stripping fermentation process was studied using ASPEN PLUS® V.7.3. The process conditions were evaluated according to the existing laboratory scale design. The main process variables were investigated in order to achieve the best conditions to carry out an experimental plant, which is the planning of further work. The results show that such technique can lower ethanol concentration in a reactor making it below of inhibitory ranges. A correct choice of the optimized variables of the process provides a larger recovery of ethanol, contributing to the improvement and intensification of the fermentation process. Copyright © 2014,AIDIC Servizi S.r.l.

关键词： Ethanol

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Synchronization of heterogeneous dynamical networks via distributed impulsive control

Synchronization of heterogeneous dynamical networks via dist...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781479940318

This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, is analyzed by utilizing the time-varying Lyapunov function. Some sufficient quasi-synchronization conditions are presented and explicit expressions of error levels are derived. Furthermore, the effects of the pinning control matrix and the coupling strength are explored. Unlike the continuous pinning feedback control, it is shown that a large coupling strength will destroy synchronization in the present of impulsive controller, which is also verified by our simulations.

关键词： Lyapunov methods distributed control interconnected systems matrix algebra time-varying systems trajectory control coupling strength distributed impulsive control global synchronization heterogeneous dynamical network pinning control matrix quasisynchronization target trajectory time-varying Lyapunov function Couplings Educational institutions Eigenvalues and eigenfunctions Symmetric matrices Synchronization Trajectory

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chemical process dynamic optimization based on hybrid differential evolution algorithm integrated with Alopex

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Journal of Central South University 2013年第4期20卷 950-959页

作者：范勤勤吕照民颜学峰郭美锦 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)

To solve dynamic optimization problem of chemical process (CPDOP), a hybrid differential evolution algorithm, which is integrated with Alopex and named as Alopex-DE, was proposed. In Alopex-DE, each original individual has its own symbiotic individual, which consists of control parameters. Differential evolution operator is applied for the original individuals to search the global optimization solution. Alopex algorithm is used to co-evolve the symbiotic individuals during the original individual evolution and enhance the fitness of the original individuals. Thus, control parameters are self-adaptively adjusted by Alopex to obtain the real-time optimum values for the original population. To illustrate the whole performance of Alopex-DE, several varietal DEs were applied to optimize 13 benchmark functions. The results show that the whole performance of Alopex-DE is the best. Further, Alopex-DE was applied to solve 4 typical CPDOPs, and the effect of the discrete time degree on the optimization solution was analyzed. The satisfactory result is obtained.

关键词： evolutionary computation dynamic optimization differential evolution algorithm Alopex algorithm self-adaptivity

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Adaptive neural control for pure-feedback nonlinear time-delay systems with unknown dead-zone: a Lyapunov-Razumikhin method

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控制理论与应用（英文版） 2013年第1期11卷 18-26页

作者： Zhaoxu YU Jianxu LUO Ji LIU Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

This paper addresses the problem of adaptive neural control for a class of uncertain pure-feedback nonlinear systems with multiple unknown state time-varying delays and unknown dead-zone. Based on a novel combination of the Razumikhin functional method, the backstepping technique and the neural network parameterization, an adaptive neural control scheme is developed for such systems. All closed-loop signals are shown to be semiglobally uniformly ultimately bounded, and the tracking error remains in a small neighborhood of the origin. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control schemes.

关键词： Pure-feedback nonlinear systems Adaptive neural control Razumikhin functional Time-delay Deadzone

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Distributed Mo del Predictive control Based on Multi-agent Mo del for Electric Multiple Units

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自动化学报 2014年第11期40卷 2625-2631页

作者： LI Zhong-Qi School of Mechanical and Electrical Engineer Nanchang University Nanchang 330031 China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang 330013 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China

The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining with the traction/brake characteristic curve and running data of EMUs, a subtractive clustering method and pattern classification algorithm are adopted to set up a multi-model set for every agent. Then, the multi-agent model is established according to the multi-agent network topology and mutual-coupled constraint relations. Finally, we adopt a smooth start switching control strategy and a multi-agent distributed coordination control algorithm to ensure the synchronous speed tracking control of each agent. Simulation results on the actual CRH380A running data show the effectiveness of the proposed approach.

关键词：分布式电源电动车组多代理预测控制多单元协调控制算法多Agent 功率单元

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Unbiased Minimum-Variance Filtering for Systems with Randomly Multi-Step Sensor Delays

Unbiased Minimum-Variance Filtering for Systems with Randoml...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Yilian Zhang Fuwen Yang Qing-Long Han Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781479940318

In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which effectively reduces the filter dimensions. A recursive algorithm for calculating the filter gain matrix is developed. The simulation results illustrate the effectiveness of the proposed method.

关键词： Networked control systems Filtering Recursive estimation Kalman filters Delay systems Stochastic processes Sensor system Communication networks

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H∞ controller design of event-triggered networked control systems

H∞ controller design of event-triggered networked control s...

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International Conference on Mechatronics and control (ICMC)

作者： Sheng Yan Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Control Theory and and Engineering Tongji University Shanghai China

ISBN: (纸本)9781479925391

This paper deals with H ∞ controller design problem for event-triggered networked control systems (NCSs), where the next task release time and finishing time are predicted based on the sampled states. A new model of NCSs that involves the network conditions, state and event-triggered communication strategy is proposed. Based on this model, some novel criteria for the asymptotic stability analysis and H ∞ state feedback controller design of the event-triggered NCSs with time-varying delay are established to guarantee a prescribed H ∞ disturbance rejection attenuation level. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Delays State feedback Networked control systems Actuators Stability analysis control design

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Adaptive strategy for time window length in SSVEP-based brain-computer interface

Adaptive strategy for time window length in SSVEP-based brai...

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International Conference on Mechatronics and control (ICMC)

作者： Yu Zhang Hehe Ma Jing Jin Xingyu Wang Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Shanghai Electric Group Co Ltd Shanghai Shanghai CN

ISBN: (纸本)9781479925391

Most of the existed methods for steady-state visual evoked potential (SSVEP) recognition require a specified time window length (TWL) to estimate the dominant frequency components in EEG signals. Typically, the TWL is manually predetermined and then fixed during running of the SSVEP-based brain-computer interface (BCI), which may not give the optimal information transfer rate (ITR). This study proposes an adaptive strategy and integrates it into multivariate synchronization index for SSVEP recognition with the automatically determined TWL. The optimal TWL is adaptively selected according to the estimated synchronization index, which provides the relatively higher ITR for the SSVEP recognition than a fixed TWL does. Experimental results evaluated on nine healthy subjects demonstrated effectiveness of the proposed adaptive strategy for the TWL in SSVEP-based BCI.

关键词： Electroencephalography Synchronization Accuracy Brain-computer interfaces Indexes Correlation Frequency synchronization

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Welding procedure expert system based on intelligent inference

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2014年 48卷 101-104页

作者： Wang, Xue-Wu Li, Yi-Xuan Yang, Shang-Yong Ding, Dong-Yan Gu, Xing-Sheng Key Laboratory of Advanced Control and Optimation for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

Intelligent welding procedure expert system was developed to improve welding procedure selection for welding process in this paper. The expert system was designed based on Client/Server (C/S) mode, and the main functions include system management, knowledge base management, intelligent inference, remote access, etc. BP model and DEPSO based BP model were established to realize parameter estimation. Reasonable parameters can be derived based on the intelligent inference model and input welding condition. Obtained welding procedure can be presented as welding procedure card and multimedia display of welding process. Besides it, the output function makes the data share more convenient. The system is beneficial to welding parameters selection and welding engineer training. ©, 2014, Shanghai Jiao Tong University. All right reserved.

关键词： Neural networks

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Impulsive Synchronization of Complex Dynamical Networks with Distributed Delays

Impulsive Synchronization of Complex Dynamical Networks with...

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第三十三届中国控制会议

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702Australia

ISBN: (纸本)9781479947249

This paper investigates synchronization of complex dynamical networks with distributed-delay coupling via impulsive *** on the theory of impulsive functional differential equations and the concept of an average impulsive interval,sufficient conditions ensuring synchronization are *** illustrative example is given to show the effectiveness of the proposed method.

关键词： Synchronization,Impulsive control,Distributed-delay coupling

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