In this paper,a modified Smith predictor is applied to the paper drying *** this application,the control of the IPZ model is *** proposed predictor decouples the set point response and the disturbance response,and eli...
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In this paper,a modified Smith predictor is applied to the paper drying *** this application,the control of the IPZ model is *** proposed predictor decouples the set point response and the disturbance response,and eliminates the state error caused by the *** addition,an eliminator is introduced to extend the proposed predictor to more complex processes.
The mathematical model of the CSTR has been proposed many years,and a lot of scholars and engineers have designed various kinds of controllers for the model,which aimed at a better control *** interesting and differen...
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The mathematical model of the CSTR has been proposed many years,and a lot of scholars and engineers have designed various kinds of controllers for the model,which aimed at a better control *** interesting and different improvement,change or transformation of the mathematical model are proposed in this *** model is composed of linear and nonlinear *** by the Lyapunov Stability Theory and some other auxiliary theories,this article designed two kinds of adaptive controllers for the nonlinear part with two different hypothesis *** the saturation of the control use is considered.
This paper deals with the problem of observer design of a class of nonlinear singular systems with *** radial basis function(RBF) neural network is utilized to adaptively estimate the system uncertainty;the adaptation...
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This paper deals with the problem of observer design of a class of nonlinear singular systems with *** radial basis function(RBF) neural network is utilized to adaptively estimate the system uncertainty;the adaptation law is derived by the Lyapunov *** matrix equations constraints are required to construct the observer,so far as the system is *** on the adaptive observer method,the sufficient condition of robust H∞ observer for the system with disturbance is *** advantage of this approach is that no restriction is needed on the uncertainty,which is applicable to more general ***,an example is given to show the correctness and effectiveness of proposed method.
This paper develops a stochastic gradient based modified particle filter algorithm for a Auto Regressive e Xogenous(ARX) model with nonlinear communication *** outputs of the ARX model are transmitted over a nonlinear...
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This paper develops a stochastic gradient based modified particle filter algorithm for a Auto Regressive e Xogenous(ARX) model with nonlinear communication *** outputs of the ARX model are transmitted over a nonlinear communication network,while the outputs of the communication network are *** on the modified particle filter and the available outputs,the outputs of the ARX model can be computed,and then the unknown parameters can be estimated by the stochastic gradient *** simulation results demonstrate that the stochastic gradient based particle filter algorithm is effective.
The temperature control of glass tempering and annealing process has the problems of the time varying parameters and time lag *** order to solve this problem,this paper proposes a self-learning fuzzy controller based ...
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The temperature control of glass tempering and annealing process has the problems of the time varying parameters and time lag *** order to solve this problem,this paper proposes a self-learning fuzzy controller based on improved genetic algorithm and big data *** proposed algorithm can quickly search the global optimal factor by using the big data *** the fuzzy control rules are perfected and *** simulation results demonstrate that the proposed control algorithm is suitable for systems with time varying parameters and time lag characteristic.
In view of the chemical industry training and assessment system,for the many non-linear complicated factors and strong correlation,it is difficult to make a comprehensive and rational evaluation of the effect of *** t...
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In view of the chemical industry training and assessment system,for the many non-linear complicated factors and strong correlation,it is difficult to make a comprehensive and rational evaluation of the effect of *** this paper,the intelligent scoring system for chemical industry training and assessment based on artificial neural network algorithm is studied,and the process operation,safety,quality,production,consumption and other factors in the process of chemical industry are scientifically and comprehensively *** results of the application in chemical distillation process show that the intelligent scoring system can make a reliable,comprehensive and fair evaluation of the training received by trainees.
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