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1.
A nonlinear model predictive control problem based on pseudo-linear neural network (PNN) is discussed, in which the second order on-line optimization method is adopted. The recursive computation of Jacobian matrix is investigated. The stability of the closed loop model predictive control system is analyzed based on Lyapunov theory to obtain the sufficient condition for the asymptotical stability of the neural predictive control system. A simulation was carried out for an exothermic first-order reaction in a continuous stirred tank reactor. It is demonstrated that the proposed control strategy is applicable to some of nonlinear systems.  相似文献   

2.
~~identificationis7-7-1,where3nm==,andtheRPEalgorithmisusedtoupdatetheweightingofPNN.Thewholetrainingprocessuses800iterations.InordertoovercometheinaccuracyofPNNmodel,thecontrollerstructureisacompositeoneasfbff()()()ututut=+,(37)wherefb()utistheoutputoffeedbackcontroller,ff()utistheoutputofpredictivecontrollerdescribedbyEq.(14),with0.20=,0.40=,andmax5K=.Insimulatedclosedloopcontrol,ufb(t)isaproportionalcontroller,fb()()Putket=and5.0Pk=.Theset-pointofthesystemisd0.15,if040,and120()0.24,if4…  相似文献   

3.
INTRODUCTION Model predictive control (MPC), based on pre-dictive model and receding horizon optimization, has become an attractive feedback control strategy, be-cause it has found successful applications, especially in the process industry. For this kind of control strategy, the predictive model is a crucial component because the essence of MPC is to optimize the fore-cast of process behavior (Rawlings, 2000), and the forecast is accomplished with the predictive model. If the controll…  相似文献   

4.
This paper describes a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). In order to improve MCFC’s generating performance, prolong its life and guarantee safety, it must be controlled efficiently. First, the output voltage of an MCFC stack is identified by a least squares support vector machine (LS-SVM) method with radial basis function (RBF) kernel so as to implement nonlinear predictive control. And then, the optimal control sequences are obtained by applying genetic algorithm (GA). The model and controller have been realized in the MATLAB environment. Simulation results indicated that the proposed controller exhibits satisfying control effect.  相似文献   

5.
针对一类带有未知死区的随机严格反馈非线性系统,提出了一种自适应模糊控制方案:利用命令滤波来处理退步方法的复杂性问题,并引入误差补偿机制克服动力学表面方法的缺点;此外,通过利用死区斜坡的边界信息,对未知的非线性系统不需要建立逆死区。与已有的结果相比,该方案的优点是:通过建立补偿信号消除滤波误差,且只有一个必需的自适应参数,这使该控制方案在实际应用中更有效;该控制方案,保证了闭路系统的所有控制信号最终一致概率有界,跟踪误差收敛到相应的紧集。  相似文献   

6.
研究MIMO离散非线性系统的自适应Backstepping控制,对包含两个三阶子系统的MIMO系统推出稳定的自适应控制器设计,并利用关键性引理和投影算法的性质证明了闭环系统的所有信号有界和保证跟踪性能.  相似文献   

7.
提出了一种具有普遍意义的分解协调方法;给出了子系统优化导致大系统优化的充分性条件.  相似文献   

8.
感应电动机是一个多变量、强耦合、非线性的控制对象。传统的矢量控制只是进行3/2,2/2变换,变换之后的系统难以进行PID调节器设计,本提出的解耦控制方案可以容易进行PID参数设计。理论和仿真试验结果都表明,这种控制方案可以得到磁链与转速静态解耦,易于工程实现。  相似文献   

9.
主要研究了任意转换下带有未知迟滞的随机非线性系统的自适应跟踪控制问题。采用变量分离方法对状态变量进行分解,使其在任意转换之下逼近于一个光滑函数。通过把径向基函数神经网络普遍近似性能与自适应反步法相结合,构造出一个在任意转换之下的自适应神经控制算法。所设计的控制器保证了所有闭路系统信号半全局一致有界,并且,跟踪误差最终收敛到一个原点小邻域内,提出的方案更好地保证了在任意转换之下系统的稳定性。  相似文献   

10.
StrongInvertibilityofNonlinearSystemsandItsApplicationLiuJun(刘军)DaiXianzhong(戴先中)(DepartmentofAutomaticControlEngineering,Sou...  相似文献   

11.
根据恒压频比控制的要求,针对交流电机参数的复杂性和变频调速特性,提出了交流电机变频调速系统的神经网络逆系统控制方法;针对模型基本未知的连续非线性可逆系统,将神经网络对未知非线性函数的逼近和学习能力、逆系统相结合,给出神经网络α阶逆系统和复合控制器的设计。仿真结果证明了理论的正确性。  相似文献   

12.
针对一类可转化为“标准块控制形”的MIMO非线性系统,基于动态面控制技术,提出一种鲁棒自适应神经网络控制算法。采用径向基函数神经网络逼近不确定性模型,通过引入一阶滤波器,消除后推设计中由于反复对虚拟控制的求导而导致的复杂性问题,同时补偿项的引入可避免反馈线性化方法中可能出现的控制器奇异性问题,无需控制增益矩阵正定、可逆的条件。利用李亚普诺夫方法,证明了闭环系统是半全局一致终结有界,适当选取设计常数,跟踪误差可收敛到原点的一个小邻域内。计算机仿真结果表明此法的有效性。  相似文献   

13.
A great deal of stabilization criteria has been obtained from study of stabilizing interconnected systems. The results obtained are usually based on continuous systems by state feedback. In this paper, decentralized impulsive control is presented to stabilize a class of uncertain interconnected systems based on Lyapunov theory. The system under consideration involves parameter uncertainties and unknown nonlinear interactions among subsystems. Some new criteria of stabilization under impulsive control are established. Two numerical examples are offered to prove the effectiveness and practicality of the proposed method.  相似文献   

14.
INTRODUCTIONWiththedevelopmentofscienceandtech-nology,thestructuresofcontrolsystemsaregettingmoreandmorecomplicated.Thiskindofsystemhasthecharacteristicoflargedimension,andin-terconnectionamongsubsystems.Generally,thiskindofsystemiscalledinterconnectedlargesystem.Thestudyofinterconnectedsystemsismotivatedbyquiteanumberofpracticalapplicationsrangingfrompowernetworks,transportation,aerospace,economics,management,andsoon.Thestrategiestocontrolinterconnectedsystemsaredividedintotwokinds:centr…  相似文献   

15.
Interval standard neural network models for nonlinear systems   总被引:1,自引:0,他引:1  
INTRODUCTION Neural networks have been successfully em- ployed for controlling nonlinear systems since the 1990’s (Narendra and Parthasarathy 1990; Hunt et al., 1992; Suykens et al., 1996). In these nonlinear control systems, neural networks have been used either for modelling the system to be controlled, or for design- ing a controller, or both. Recently, the robustness issue has been an important focus of research in neuro-control circles (Suykens et al., 1996; Wams et al., 1999; Aya…  相似文献   

16.
欧洲学分体系中ECTS和ECVET的分析与启示   总被引:1,自引:0,他引:1  
欧洲学分体系是世界范围内发展最早、试验较为成功的学分互认体系,对其进行深入分析与总结,可为我国远程教育领域学分互认体系建设的研究与实践提供有益参考。欧洲学分体系根据其应用范围,分为ECTS和ECVET两个系统。对两个系统深入分析和对比发现,两者虽然在定位、内容等方面存在差异,但其共同点在于都是欧洲学分体系的核心经验与成果,主要体现在:以学习者为中心,重视学习结果;围绕学习者终身学习需要,建立终身学习资格框架;重视质量保证,致力于提高机构之间质量的透明度和认可度。欧洲学分体系的经验成果对于我国学分互认体系建设的目的与内容、核心与难点、实施要点与保障措施等方面都有重要启示。  相似文献   

17.
设计了一种基于局域网和SPI总线的分布式实验系统,现场控制单元及各子系统都单独使用一片单片机为核心控制器件,使各子系统之间"各司其职",互不影响.现场控制单元通过SPI总线实现对各子系统(数据采集系统、开关量检测系统、模拟量控制系统、开关量控制系统)的数据信息采集与控制,上位PC机通过RS232或局域网与现场控制单元实现数据信息的交换与控制.  相似文献   

18.
This paper presents an effective method for motion classification using the surface electromyographic (sEMG) signal collected from the forearm. Given the nonlinear and time-varying nature of EMG signal, the wavelet packet transform (WPT) is introduced to extract time-frequency joint information. Then the multi-class classifier based on the least squares support vector machine (LS-SVM) is constructed and verified in the various motion classification tasks. The results of contrastive experiments show that different motions can be identified with high accuracy by the presented method. Furthermore, compared with other classifiers with different features, the performance indicates the potential of the SVM techniques combined with WPT in motion classification.  相似文献   

19.
非线性系统的跟踪控制及其奇异点问题求解已在科学和工程领域引起广泛关注。基于作者团队前期主要关于单输入单输出非线性系统跟踪控制的工作,本文进一步提出了面向多输入多输出非线性系统跟踪控制的ZG控制方法的框架与展望。利用该ZG控制方法,可以设计能同时解决多输入多输出非线性系统的跟踪控制问题及可能出现的奇异点问题的ZG控制器。  相似文献   

20.
介绍了一种以MCS-51单片机为核心的八路数字抢答器系统,分别从硬件和软件两方面阐述了该控制系统的设计方法,并经过调试和运行使该系统达到预期目标,具有反应快、功能齐全、实用性强的特点.  相似文献   

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