不敏变换鲁棒Kalman滤波器在发酵过程中的应用(英文)

State estimation is the precondition and foundation of a bioprocess monitoring and optimal control. However, there are many difficulties in dealing with a non-linear system, such as the instability of process, un-modeled dynamics, parameter sensitivity, etc. This paper discusses the principles and characteristics of three different approaches, extended Kalman filters, strong tracking filters and unscented transformation based Kalman filters. By introducing the unscented transformation method and a sub-optimal fading factor to correct the prediction error covariance, an improved Kalman filter, unscented transformation based robust Kalman filter, is proposed. The performance of the algorithm is compared with the strong tracking filter and unscented transformation based Kalman filter and illustrated in a typical case study for glutathione fermentation process. The results show that the proposed algorithm presents better accuracy and stability on the state estimation in numerical calculations.     

微生物发酵过程优化控制技术进展

微生物发酵过程优化控制技术是发酵工程的重要技术。综述了近年来微生物发酵过程优化控制技术的研究现状,讨论了机理分析建模、黑箱建模、混合建模等发酵过程建模方法,对基于模型的优化控制策略进行了分析。指出了基于混合模型和多目标优化策略建立动态优化控制器,是微生物发酵过程优化控制的有效方法,并给出了实现优化控制需要解决的关键问题。     

支持向量回归的几何方法及其在发酵过程快速建模中的应用(英文)

Support vector machine(SVM) has shown great potential in pattern recognition and regressive estima-tion.Due to the industrial development demands,such as the fermentation process modeling,improving the training performance on increasingly large sample sets is an important problem.However,solving a large optimization problem is computationally intensive and memory intensive.In this paper,a geometric interpretation of SVM re-gression(SVR) is derived,and μ-SVM is extended for both L1-norm and L2-norm penalty SVR.Further,Gilbert al-gorithm,a well-known geometric algorithm,is modified to solve SVR problems.Theoretical analysis indicates that the presented SVR training geometric algorithms have the same convergence and almost identical cost of computa-tion as their corresponding algorithms for SVM classification.Experimental results show that the geometric meth-ods are more efficient than conventional methods using quadratic programming and require much less memory.     

培训课程优化思考与实践

培训过程中,培训的目标和理念是通过培训课程来实现的;课程的质量决定着培训的质量。如何根据学员需求对课程进行优化,使课程更贴近学员需求,更好地服务于培训目标,进而保证和提高培训质量,是我们一直在思考的问题。     

论企业培训中兼职教师的基本素质和能力

兼职教师是企业培训师资队伍的重要组成部分。兼职教师的岗位职责要求兼职教师具备自然素质、政治素质、业务素质和职业素质;在此基础上,兼职教师应当从胜任教师岗位、满足学员需求、带动师生进步等几个方面确立和提高能力。     

基于同址训练递推最小二乘支持向量机的分批补料生物反应器中溶氧浓度的非线性广义预测控制(英文)

In this study, Saccharomyces cerevisiae (baker’s yeast) was produced in a fed-batch bioreactor at the optimal dissolved oxygen concentration (DOC) and growth medium temperature. However, it is very difficult to control the DOC using conventional controllers because of the poorly understood and constantly changing dynamics of the bioprocess. A generalized predictive controller (GPC) based on a nonlinear autoregressive integrated moving average exogenous (NARIMAX) model is presented to stabilize the DOC by manipulation of air flow rate. The NARIMAX model is built by an improved recursive least-squares support vector machine, which is trained by an in-place computation scheme and avoids the computation of the inverse of a large matrix and memory reallocation. The proposed nonlinear GPC algorithm requires little preliminary knowledge of the fermentation process, and directly obtains the nonlinear model in matrix form by using iterative multiple modeling instead of linearization at each sampling period. By application of an on-line bioreactor control, experimental results demonstrate the robustness, effectiveness and advantages of the new controller.     

训战结合的实践与思考

本文从训战结合的内涵、理论基础和价值入手,结合长期的实践探索,首先,创新性地提出训战结合类项目的两种类型,即嵌入式训战结合项目和纯粹式训战结合项目,丰富了训战结合的项目类型;其次,基于实践总结出六种模式,即“三段回归式”、“问题导向式”、“行动学习式”、“业培融合式”、“训练考式”和“实战训练营”;最后,在大量实践的基础上构建训战结合类项目的培训模型,为其他项目的实施提供指导。