自适应控制
- 与 自适应控制 相关的网络例句 [注:此内容来源于网络,仅供参考]
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Being based on the simulative idea to the adaptive fuzzy control mechanism of human brain, a new and unique no-model adaptive fuzzy control structure is given and relevant theory methods and AFDC system of robot are established in the strategy.
该策略基于模拟人脑的自适应模糊控制功能的设想,从被控机器人近似于黑箱的角度,给出了具有特色的复合无模型自适应模糊控制结构模式,并建立了相应的研究理论、方法和机器人自适应模糊动态控制系统。
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Based on X-filtered LMS algorithm and -filtered LMS algorithm adaptive inverse control, we use a new variable step size LMS algorithm. Adding little computation, variable step size LMS algorithm can result in fast convergence speed and low residual error simultaneously. The adaptive feedback control can counteract the beginning error of the system. The adaptive disturbance canceler can best erase noises and disturbances.
在原来的X-滤波LMS算法自适应逆控制和-滤波LMS算法自适应逆控制方法的基础上,引入了新的变步长LMS算法,在计算量增加不多的前提下,能同时获得较快的收敛速度和较小的稳态误差;引入自适应的反馈补偿控制克服了被控系统的直流零频漂移,使控制系统在初开始工作阶段快速收敛;还引入自适应扰动消除器,它能最大限度的消除扰动。
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Aiming at the high-speed matching controlling problems between adaptive filters inplemented by FPGA and the high-speed AD converters, a high-speed sampling and adaptive filtering system was designedusing asynchronous FIFO. The dual channels AD converter AD9238-40 was used as input stage, two asynchronous FIFOs on-chip were used as high-speed buffer memory, and the sampling and adaptive filtering was controlled by FPGA. The asynchronous FIFO was customized and simulated on Quartus II, the sampling and adaptive filtering controller was designed and also simulated on Quartus II. The high-speed matching controlling of the dual channels AD converter AD9238-40 and the adaptive filter was implemented.
针对用FPGA实现的高速自适应滤波器与高速ADC数据处理速度不匹配、容易产生串扰等问题,提出了一种基于异步FIFO技术的高速采样自适应滤波系统方案,选用双通道高速AD9238-40作为前置输入级,用片内异步FIFO作高速缓存,用FPGA控制采样与滤波,给出了系统的结构框图,对异步FIFO与采样滤波控制器进行了仿真,并将异步FIFO与采样滤波控制器集成在同一FPGA上,完成了对双通道高速AD9238与自适应滤波器的高速匹配控制。
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The sidelobe has many ripples in condition of small training sample size and the diagonal loading technology is applied to this method, which improve the convergence speed of sidelobe. We also study the pattern control of area array. The effectiveness of this new method is illustrated by the designed simulations.5. Adaptive sidelobe cancellation is a important part of phase array radar. To realize low sidelobe and suppressing the interferer the antenna technique and signal process are combined.
用对角加载方法解决了小快拍数下收敛速度慢的问题,并仿真给出了加载量的选取范围,对面阵的自适应方向图控制文中也进行了详细讨论,阵列幅相误差和互耦误差对自适应方向图控制影响,文中也给出了仿真和分析。5、自适应旁瓣相消是相控阵雷达技术的一个重要组成部分,它将天线技术与信号处理技术结合在一起,使相控阵天线实现超低副瓣,达到抗有源干扰的目的。
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Chapter 5 deals with the solvable theorem of adaptive inverse optimal control problems for a class of stochastic nonlinear systems driven by Wiener noises of unknown covariance. The systems are depicted by It〓 stochastic differential equations. By using an adaptive backstepping algorithm and stochastic control Lyapunov functions, the designing procedure of control laws of global asymptotic stability in probability and adaptive inverse optimal stabilization in probability are presented systematically. Adaptive control laws and parameter update laws can be obtained at the same time by this design scheme.
在第5章中,针对具有方差不确定Wiener噪声扰动和未知定常参数的随机非线性系统(假设方差的F—范数是一个常数或一个缓慢变化的量,对其进行在线辨识),给出并证明了自适应逆最优控制问题可解定理,基于随机Lyapunov定理和It〓微分规则,采用自适应Backstepping设计方法,系统地设计了全局依概率渐近稳定和自适应逆最优控制策略,这种设计方法可同时获得控制策略和自适应律,计算机数值仿真结果表明该控制算法是有效性的。
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In our thesis, contents are organized as following In Chapter 1 we present our topic's internal and overseas research situations, theoretical and practical significance, and introduce the research object and contents, and the main contributions of this dissertation. Chapter 2 reviews the development of the stability results for nonlinear systems and some relevant recent results, which include Lyapunov and LaSalle-Yoshizawa theorems for nonlinear systems, and stochastic edition for stochastic nonlinear systems. Sontag's formula for systems affine in control is presented in the frame of CLF. The concepts of disturbance attenuation and the inverse optimality are also explained in this Chapter. In chapter 3 we present the solvable theorem of inverse optimal gain assignment problem, design the inverse optimal controller and the inverse optimal tracking controller for strict-feedback nonlinear continuous systems with unknown time-varing bounded disturbances and constant unknown parameters using an adaptive backstepping algorithm, which are nonlinear, continuous and are easier to realize. These designs are fully systematic and the algorithm can be directly coded in symbolic software. The results of simulation show the effectiveness of the control algorithms.
论文的结构如下:在第1章中,给出了本文研究课题的研究现状、理论意义和实际应用,并介绍了本文的研究对象、研究内容以及主要贡献;在第2章中,针对确定性非线性系统和随机非线性系统,分别介绍了Lyapunov定理、LaSalle-Yoshizawa定理及其随机版本;对仿射系统,在控制Lyapunov函数框架下,给出了Sontag公式;同时给出了非线性系统扰动抑制和逆最优控制问题的基本概念;在第3章中,针对具有未知时变有界扰动和未知定常参数的一类不确定非线性系统,给出并证明了逆最优增益配置可解定理,使用自适应Backstepping算法和均值定理,系统地设计了自适应逆最优控制器和逆最优跟踪器,这种设计方法可同时获得逆最优控制策略和自适应律,简单明了,仿真结果表明该控制算法的有效性,并给出了性能估计。
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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逆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、自适应逆最优控制器、输出反馈逆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。
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Based on AFCT, a new adaptive staring principle is established using floating threshold which is calculated by system reference model based on extrapolation method and linear regression algorithm. The principle of "forecasting model on line identifier"and"forecasting model parameters'selftuner"are put forward. In the module of"adjustment mechanism", the forecasting method of break points is introduced to fulfill control functions to "forecasting model parameters'self tuner".
本文详细讨论了针对输电线路主保护的自适应预测模型的建立方法,应用时间序列法和自回归模型或动平均自回归模型建立了精确反映保护对象状态量的系统预测模型,以自回归模型为例给出了"预测模型在线辨识"环节和"模型参数自适应校正"环节的算法,应用"适应机构"实现其对"模型参数自适应校正"环节的控制作用,应用并行计算算法实现了在继电保护中的"预测模型在线辨识"环节,使系统状态预测模型自适应于变化的电力系统。
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Aiming at the big time-delay,big burthen fluctuating and mutable characteristic of the controlled object,combining Smith predicator with PID controller,the BP neural network tuning Smith-PID controlling policy is presented.
针对大时滞时变对象,把Smith补偿控制原理和PID参数的自适应调整方法结合起来,提出了基于BP神经网络整定Smith PID控制算法,即在Smith预估补偿控制系统中,利用BP神经网络在线自学习整定PID参数,使PID参数实现最佳的非线性组合,以适应对象特性的变化,从而克服了常规PID算法不适应大时滞系统控制和常规Smith算法过于依赖模型精度的缺陷。
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It is proved that the"feedback linearization" certainty equivalence control law with"regressor vector-based"update law can guarantee the real output to track reference output in relative degree one case.
当控制对象的相对阶为1时,我们证明了采用"反馈线性化型"确定性等价控制律,和"基于回归向量"的自适应律,可以保证实际输出有界跟踪参考输出;当控制对象的相对阶大于1时,控制律和自适应律的结构保持不变,但是构造自适应律的信号采用了由跟踪误差得来的"增广误差"。
- 推荐网络例句
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On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.
另一方面,更重要的是由于城市住房是一种异质性产品。
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Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.
气候直方图是将所收集的降水量测定值,分为几个相等的区间作为横轴,并将各区间内所测定值依所出现的次数累积而成的面积,用柱子排起来的图形,也叫做柱状图。
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You rap, you know we are not so good at rapping, huh?
你唱吧,你也知道我们并不那么擅长说唱,对吧?