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1.
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
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SU Cheng-li WANG Shu-qing 《浙江大学学报(A卷英文版)》2006,7(10):1723-1732
INTRODUCTION In recent years, research on nonlinear model predictive control has attracted significant attention because most practical processes are nonlinear. In industry process control, model predictive controllers based on linear models (LMPC) are often used to control nonlinear systems. When the operating con- ditions undergo significant changes, the performance of LMPC can deteriorate drastically. Under such conditions, predictive control based on nonlinear models (NMPC) shoul… 相似文献
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A new neural network model termed ＇standard neural network model＇ （SNNM） is presented, and a state-feedback control law is then designed for the SNNM to stabilize the closed-loop system. The control design constraints are shown to be a set of linear matrix inequalities （LMIs）, which can be easily solved by the MATLAB LMI Control Toolbox to determine the control law. Most recurrent neural networks （including the chaotic neural network） and nonlinear systems modeled by neural networks or Takagi and Sugeno （T-S） fuzzy models can be transformed into the SNNMs to be stabilization controllers synthesized in the framework of a unified SNNM. Finally, three numerical examples are provided to illustrate the design developed in this paper. 相似文献
4.
Interval standard neural network models for nonlinear systems 总被引：1，自引：0，他引：1
LIU Mei-qin 《浙江大学学报(A卷英文版)》2006,7(4):530-538
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
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对于时延的非线性系统,将其等价为含有纯滞后的时变线性系统,利用三次样条函数逼近时变参数,利用渐消记忆递推最小二乘法在线辨识多项式的参数以实现时变参数估计,将基于Hammerstein模型的非线性系统线性化.最后运用广义预测控制策略实现对该系统的仿真,结果表明被控对象在广义预测控制算法的控制下系统闭环稳定性好、稳态误差小. 相似文献
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WANG Yongji WANG Hong Department of Control Science & Engineering Huazhong University of Science &Technology Wuhan Hubei P.R.China Control Systems Centre UMIST PO Box Manchester M QD UK 《重庆大学学报(英文版)》2004,3(1):26-29
~~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
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LI Gen guo 《上海大学学报(英文版)》1999,3(4):263-269
１ Ｉｎｔｒｏｄｕｃｔｉｏｎ Ｃｏｎｓｉｄｅｒｔｈｅｍｏｄｅｌｘ ¨＋ｘ（１－ｘ）（ｘ－ａ）＝０,（１）ｗｈｅｒｅａｉｓａｃｏｎｓｔａｎｔ．Ａｓａ＝－１,Ｅｑ．（１）ｒｅｄｕｃｅｓｔｏｔｈｅＤｕｆｆｉｎｇｅｑｕａｔｉｏｎｆｏｒｔｈｅｓｙｓｔｅｍｏｆｓｏｆｔｓｐｒｉｎｇｗｉｔｈｏｕｔｄａｍｐｉｎｇｘ ¨＋ｘ－ｘ３＝０．（２） ＴｈｅＤｕｆｆｉｎｇｓｙｓｔｅｍｈａｓｂｒｏａｄｅｎｇｉｎｅｅｒｉｎｇｂａｃｋｇｒｏｕｎｄ．Ｔｈｅｒｅａｒｅｐａｐｅｒｓ［１～４］ｒｅｌａｔｅｄｔｏｔｈｅｄｙｎａｍｉｃ… 相似文献
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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
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Nonlinear decoupling controller design based on least squares support vector regression 总被引：1，自引：0，他引：1
INTRODUCTION Most practical systems are multivariate nonlin- ear systems. In general, the MIMO (multiple inputs and multiple outputs) systems are coupled. This cou- pling affects the effectiveness of a specific loop con- troller on the corresponding output, and in some case, may become serious and cause many difficulties to the control system design. How to decouple the mul- tivariate systems and design practical controllers is one of the major issues in nonlinear control area. In recen… 相似文献
10.
Traditional studies on integrated statistical process control and engineering process control (SPC-EPC) are based on linear autoregressive integrated moving average (ARIMA) time series models to describe the dynamic noise of the system.However,linear models sometimes are unable to model complex nonlinear autocorrelation.To solve this problem,this paper presents an integrated SPC-EPC method based on smooth transition autoregressive (STAR) time series model,and builds a minimum mean squared error (MMSE) controller as well as an integrated SPC-EPC control system.The performance of this method for checking the trend and sustained shift is analyzed.The simulation results indicate that this integrated SPC-EPC control method based on STAR model is effective in controlling complex nonlinear systems. 相似文献
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针对受限环境下四旋翼无人飞行器在参数不确定及外部扰动影响下的高性能高度控制问题,设计一种基于复合非线性反馈（CNF）和自适应非光滑轨迹跟踪控制的高度控制方法。通过四旋翼无人飞行器的垂直通道动力学模型分析和变换,将高度轨迹规划问题转换为输入受限的线性系统控制问题,设计CNF控制器实现轨迹生成;建立参数不确定及外部扰动影响下的垂直通道动力学模型,设计一种自适应非光滑轨迹跟踪控制器,并理论证明了闭环系统稳定性。最后,通过仿真实验验证所提出方法的有效性。结果表明,所设计方法能够有效提高参数不确定及外部扰动下的高度控制品质,且简单实用。 相似文献
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A method for positive polynomial validation based on polynomial decomposition is proposed to deal with control synthesis problems. Detailed algorithms for decomposition are given which mainly consider how to convert coefficients of a polynomial to a matrix with free variables. Then, the positivity of a polynomial is checked by the decomposed matrix with semidefinite programming solvers. A nonlinear control law is presented for single input polynomial systems based on the Lyapunov stability theorem. The control synthesis method is advanced to multi-input systems further. An application in attitude control is finally presented. The proposed control law achieves effective performance as illustrated by the numerical example. 相似文献
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This paper reviews recent developments in nonlinear control technologies for shape memory alloy (SMA) actuators in robotics and their related applications. SMA possesses large hysteresis, low bandwidth, slow response, and non-linear behavior, which make them difficult to control. The fast response of the SMA actuator mostly depends upon, (1) type of controller, (2) rate of addition and removal of heat, and (3) shape or form of the actuator. Though linear controllers are more desirable than nonlinear ones, the review of literature shows that the results obtained using nonlinear controllers were far better than the former one. Therefore, more emphasis is made on the nonlinear control technologies taking into account the intelligent controllers. Various forms of SMA actuator along with different heating and cooling methods are presented in this review, followed by the nonlinear control methods and the control problems encountered by the researchers. 相似文献
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使用齐次平衡方法，得到了（2＋1）维破裂孤子方程的一些新多孤子解，齐次平衡方法，能使复杂的（2＋1）维破裂孤子方程转化为简单的线性偏微分方程和双线性偏微分方程，然后通过特定的拟解，便可构造出（2＋1）维破裂孤子方程的丰富的孤子结构。 相似文献
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经过线性化处理的TCP/AQM拥塞控制模型是一个输入带有时滞的源端链路端组合系统。首先修改了带有延迟的网络拥塞控制模型;计算其平衡状态并进行线性化,采用积分变换算法进行延迟变换为无时滞的线性模型,并建立相应的状态空间模型。在模型矩阵参数抖动但有界限的条件下,应用变结构控制算法设计控制器,基于李雅普诺夫稳定性理论和线性矩阵不等式方法给出了该控制器控制的系统可到达和渐进稳定的可行条件,同时根据该条件设计网络链路端主动队列管理算法。最后,仿真结果表明了该算法的有效性。 相似文献
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Based on the non-Darcian flow law described by exponent m and threshold gradient i 1 under a low hydraulic gradient and the classical nonlinear relationships e-lgσ′ and e-lgk v (Mesri and Rokhsar, 1974), the governing equation of 1D nonlinear consolidation was modified by considering both uniform distribution of self-weight stress and linear increment of self-weight stress. The numerical solutions for the governing equation were derived by the finite difference method (FDM). Moreover, the solutions were verified by comparing the numerical results with those by analytical method under a specific case. Finally, consolidation behavior under different parameters was investigated, and the results show that the rate of 1D nonlinear consolidation will slow down when the non-Darcian flow law is considered. The consolidation rate with linear increment of self-weight stress is faster than that with uniform distribution one. Compared to Darcy’s flow law, the influence of parameters describing non-linearity of soft soil on consolidation behavior with non-Darcian flow has no significant change. 相似文献
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ZOU Jun FU Xin YANG Hua-yong 《浙江大学学报(A卷英文版)》2007,8(9):1429-1434
The highly nonlinear behavior of the system limits the performance of classical linear proportional and integral (PI) controllers used for hot rolling. An active disturbance rejection controller is proposed in this paper to deal with the nonlinear problem of hydraulic servo system in order to preserve fast response and small overshoot of control system. The active disturbance rejection (ADR) controller is composed of nonlinear tracking differentiator (TD),extended state observer (ESO) and nonlinear feedback (NF) law. An example of the hydraulic edger system case study is investigated to show the effectiveness and robustness of the proposed nonlinear controller,especially,in the circumstance of foreign disturbance and working condition variation,compared with classic PI controller. 相似文献
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电机定子电阻的变化影响了直接转矩控制系统的低速性能.定子电阻的变化具有非线性、时变性等特点,难以建立精确的数学模型,因此提出了基于小波神经网络的定子电阻线辨识的方案,该网络采用梯度下降算法训练,可用于对定子电阻进行在线的辨识.仿真实验测试结果表明该辨识器能够精确辨识定子电阻值,从而有效地改善了直接转矩控制系统的低速性能. 相似文献
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This paper presents the development of a proportional-integral-derivative (PID)-based control method for application to active vehicle suspension systems (AVSS). This method uses an inner PID hydraulic actuator force control loop, in combination with an outer PID suspension travel control loop, to control a nonlinear half-car AVSS. Robustness to model uncertainty in the form of variation in suspension damping is tested, comparing performance of the AVSS with a passive vehicle suspension system (PVSS), with similar model parameters. Spectral analysis of suspension system model output data, obtained by performing a road input disturbance frequency sweep, provides frequency response plots for both nonlinear vehicle suspension systems and time domain vehicle responses to a sinusoidal road input disturbance on a smooth road. The results show the greater robustness of the AVSS over the PVSS to parametric uncertainty in the frequency and time domains. 相似文献
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In this paper, a numerical method for solving the optimal control (OC) problems is presented. The method is enlightened by the Chebyshev-Legendre (CL) method for solving the partial differential equations (PDEs). The Legen-dre expansions are used to approximate both the control and the state functions. The constraints are discretized over the Chebyshev-Gauss-Lobatto (CGL) collocation points. A Legendre technique is used to approximate the integral involved in the performance index. The OC problem is changed into an equivalent nonlinear programming problem which is directly solved. The fast Legendre transform is employed to reduce the computation time. Several further illustrative examples demonstrate the efficiency of the proposed method. 相似文献