In this paper, a novel method of rotor resistance adaptive identification based on rotor flux orientation is proposed.
本文在异步电动机矢量控制系统中提出了一种基于转子磁场定向的转子电阻自适应辨识方法。
When the adaptive identification observer is utilized in a radar servo system, this method is of great value in computer simulation study and engineering design.
在用自适应辨识观测器设计雷达伺服系统时，对于计算机的仿真研究及工程设计，该方法很有价值。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
This paper presents a novel full-order adaptive state observer. An adaptive identification scheme based on the observer for speed and stator resistance is proposed.
建立了一种新型的全阶自适应状态观测器，提出了基于观测器的速度和定子电阻辨识方案。
Aiming at characteristics of unpredictability the load torque used in ac motor servo system, a method of load torque adaptive identification based on state observer is presented.
针对交流电机伺服系统中负载转矩不可预测性的特点，提出一种基于状态观测器的负载转矩自适应辨识方法。
The algorithm can remarkably improve the convergence speed and precision of the identification process compared with the partially decoupled RLS adaptive identification algorithm.
该算法与部分解耦的RLS自适应算法相比，显著提高了辨识过程的收敛速度和精度。
Multi channel acoustic echo cancellation (AEC) systems suffer from the non uniqueness problem of the adaptive identification solution because of the correlation of the input signals.
多路回波消除问题的本质难点是由于多路输入信号之间的强相关性而导致的自适应滤波器解不唯一的问题。
Thus, the study of the key mechanisms leading to injury in target organs and failure of adaptive processes holds great promise for the identification of mechanism-targeted therapeutic approaches.
因此，导致靶器官损伤和适应过程失败的主要机制的研究认为大有希望的识别机制，有针对性的治疗方法。
A mutual model reference adaptive method for the rotor speed and stator resistance identification is proposed in this paper to implement a speed sensorless direct torque control of induction motors.
本文介绍了一种可互换模型参考自适应方法实现对电机转速和定子电阻的辨识，并将其应用于异步机的无速度传感器直接转矩控制中。
The identification method can be used in adaptive control of process and industrial instrumentation.
该辨识方法可以在过程和仪器的自适应控制中采用。
The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.
本文给出了一种间接自适应模糊控制器，它通过在线模糊系统辨识得到控制对象的模型，然后根据所得模型在线地设计模糊控制器。
According to the reduced order model of induction motor, a model reference adaptive speed identification algorithm is obtained from measured motor stator voltages and currents.
根据异步电机的数学模型，利用易于检测的电机定子电压和电流得到电机转速的模型参考自适应辨识算法。
Adaptive filtering is widely used in system identification, signal separation, channel equalization and echo cancellation and other fields.
自适应滤波广泛应用于系统识别、信号分离、信道均衡以及回声抵消等领域。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
By using the technique of adaptive filtering, we put forward a new method for system identification.
采用自适应滤波技术，给出了系统辨识的一种方法。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
In order to estimate parameters of permanent magnet synchronous motor (PMSM) on-line and real-time, an adaptive on-line identification method for motor parameters is proposed.
为了实现永磁同步电动机参数的在线实时估算，提出了一种在同一模型中对电阻、电感和永磁磁链进行辨识的自适应辨识方法。
In this paper, the techniques of the OFDM signal identification and adaptive OFDM scheme are studied.
本文主要研究了OFDM信号识别和OF D M自适应调制技术。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems.
针对多输入多输出非线性系统，把自适应模糊控制和自适应模糊辨识结合起来，提出了一种间接自适应模糊控制方案。
Simulation results show that this identification method has excellent approximation ability, and system of adaptive inverse control has good robustness and performance.
仿真结果表明，该辨识方法具有良好的逼近能力且自适应逆控制系统具有良好的鲁棒性。
Adaptive system identification is a technique that USES an adaptive filter for a model. The basic idea is to measure the signals produced by the system and to use them to construct a model.
自适应系统识别是通过测量系统输出信号利用自适应滤波器建立模型的一种重要方法。
From practical application, adaptive fuzzy identification and control models of proton exchange membrane fuel cell (PEMFC) were developed based on input-output sampled data and experts' experience.
从质子交换膜燃料电池(PEMFC)实际应用的角度出发，应用自适应模糊神经网络技术对PEMFC系统进行建模与控制。
Present a kind of application of recursive identification and adaptive control to sulfuric acid process.
论述了硫酸生产过程的递推辩识与自适应控制的一种应用。
Polarization identification is one of the main basis in adaptive polarized agility radar.
极化识别是自适应极化捷变雷达的主要依据之一。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
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