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As CMAC neural network could not be used to approximate the multi-valued mapping of an inverse hysteresis directly, an inverse hysteretic operator was proposed to transform the multi-valued mapping into a one-to-one mapping which could enable neural networks to approximate the behavior of an inverse hysteresis.

由于CMAC神经网络不能够直接逼近滞回这种具有记忆性的多映射现象,通过引入一个滞回算子,将多映射的滞回转换成一一映射,然后运用CMAC神经网络控制器来逼近这个一一映射,从而建立一个基于CMAC神经网络的滞回模型。

In Chapter 4 we discuss the solvable theorem of adaptive inverse optimal control problems, and proceed with controller designs of global asymptotic stability in probability, adaptive inverse optimal stabilization in probability and output-feedback adaptive inverse optimal stabilization in probability for strict-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters using It〓's differentiation rule and an adaptive backstepping algorithm. Control laws and adaptive laws can be obtained at one time by this design scheme. Many simulations have been performed to validate the properties of the proposed adaptive control scheme.

在第4章中,针对具有标准Wiener噪声扰动和未知定常参数的不确定随机非线性系统,提出并证明了自适应最优控制问题可解定理,构造了适当形式的四次型随机控制Lvapunov函数,基于It〓微分规则和自适应Backstepping算法,系统地设计了全局依概率渐近稳定控制器、自适应最优控制器、输出反馈最优控制器以及在设计中如何处理二阶Hessian矩阵函数的方法,这种方法可同时获得控制律和自适应律,通过实例仿真,表明该控制算法是有效性的。

Presents the design of longitudinal control for ASTOVL lift-fan aircraft, a multi-variable, strong-coupling, complicated nonlinear system to make the system nonlinear offset and decouple, and the method used for linear system in designing the system to gain expectant flying qualities and the combination of aerodynamic control surfaces with thrust vectors to delay the control surfaces getting into saturation, and the minimum N-norm generalized inverse theorem of weighted generalized inverse adopted to apportion the moments commands, which make the control surfaces gain appropriate deflection and the simulation results to verify the dynamic inverse control laws designed really make the system nonlinear offset and decouple; when one command is given, only this output will response, and others do not response; when all commands are given together, the responses will be just the linear superpose of the response of each command, therefore the operation of the pilot will be simplified greatly.

摘 要: ASTOVL升力风扇飞机是多变量、强耦合、复杂的非线性系统,采用非线性动态理论设计控制律以实现系统的非线性对消及解耦,然后,采用线性系统的设计方法对系统进行设计,以使系统获得期望的飞行品质。同时,考虑到ASTOVL升力风扇飞机是由气动舵面和推力矢量融合作用的,为了延缓各舵面进入饱和的时间,采用加权广义中的极小N-范数广义定理分配力矩指令,从而使各舵面达到适当的偏转角。并将所设计的控制律进行了仿真,结果验证了所设计的动态控制律使系统实现了非线性对消和解耦,单个指令作用时,只有该项响应,其余不受影响;所有指令作用时,其结果就等于单个指令作用时的线性叠加,这样使驾驶员的操纵大大简化而易于控制,从而大大降低了飞行事故率。

Optimizing and Realization of the Finite Field Inversion Algorithm Based on FPGA;2. The stability and operation of the inversion formula for Toeplitz matrices are also considered.

利用两个线性方程组是否有解给出了Toeplitz矩阵可的条件,表明Toeplitz矩阵之阵可以表示为φ-循环矩阵与上三角Toeplitz矩阵的乘积之和,给出了其矩阵列的递推公式,得到了求Toeplitz矩阵之矩阵的快速算法。

On the basis of theoretic invertibility analysis of that system ,the methods are proposed to fabricate the a -th ANN inverse system of original system.

首先,使用系统方法对此系统进行可性分析,在理论分析的基础上,使用神经网络构造原系统的α阶系统,并给出了构造神经网络α阶系统的具体方法。

The general conditions of invertible completions of operator matrix Mx are supplied and the intersective characterization of the resolvent set of operator of Mx are been desribed.

4研究了算子配置的等价条件,并借助算子的ε-限制配置的刻画及正算子、紧算子的特性,完全刻画了算子对的配置。

A detailed analysis of the main circuit introduction, control method and working principle of the direct-drive wind energy conversion system are given to introduce the two important parts a of this paper: First part is the control method of the multiple boost convertor, the important instantaneous current control method of this paper is given through the analysis of the main circuit structure, control method and working principle. Then a steady-state analysis for low-frequency, a high-frequency component analysis, and a closed-loop tracking performance analysis for dynamic response are provided to analyze the method proposed; And the second part is the control method of invertor.

在系统变流器整体结构分析的基础上,引出本文重点研究的两个变流环节的控制:第一部分是系统升压斩波器的控制,通过分析相关主电路结构、原理,建立了数学模型,引出本文重点研究的瞬时值控制策略的概念和具体实现,并对升压斩波器的瞬时值控制策略进行了详细的高频、低频模型分析和稳态、动态性能分析;第二部分是系统并网变器的控制,通过对变器主电路的数学建模和控制要求分析,研究了并网变器的瞬时值控制策略,包括电感电流控制内环和直流电压控制外环的具体设计和实现方法。

Through analysis to multilevel invertor a method of switching angle control for Diode-clamping Multilevel Inverter is introduced. The quantity of wave for output voltage is improved and the content of harmonics is reduced. And a design is carried on to realize the control mode based on TMS320F2407DSP.

通过分析多电平变器的拓扑结构,选择二极管箝位型多电平变器为研究对象,提出在二极管箝位型变电路中实现开关角控制的方法,该方法减少了谐波的含量,改善了输出电压的波形,并以TMS320F2407DSP为平台进行了设计实现了该控制策略。

Based on the concept of secondary eigenvalue and secondary eigenvector, the author gives the model for the inverse problem of secondary eigenvalue of the matrix, discusses the inverse problems of secondary eigenvalue for anti-skew-symmetric matrices on a linear manifold.

在第三章中,本文对矩阵的一类特征值问题进行了研究,针对次特征值、次特征向量概念,提供了矩阵的次特征值问题模型,讨论了一类线性流形上次反对称矩阵的次特征值问题。

In the algorithm, radial-basis function neural network was utilized as forward model, and genetic algorithm was used to solve the optimization problem in the inverse problem, which can avoid the local minimum solution possibly encountered in the iterative inverse algorithm based on gradient descent and consequently achieve the global optimized solution of the inverse problem.

在该算法中,径向基函数神经网络用作前向模型,遗传算法用于求解问题中的优化问题,其优点是能够避免基于梯度下降法的迭代算法中可能遇到的局部最小问题,并能得到问题的全局最优解。

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