讨论了一类非最小相位系统的输出跟踪问题。
Secondly, the model was transformed into the minimum phase system.
采用了非最小相位系统参数模型转换为参数模型的控制器的设计。
Using the non minimum phase system parameter model transformation of the model for the controller design.
并针对非最小相位系统，提出了一般情况下控制规则基的设计原则。
The design principles of the control rule base under common conditions for non-minimum phase systems is proposed.
提出了几种适用于时滞及非最小相位系统的模糊pid智能复合控制算法。
The paper also refers several fuzzy PID intelligent composite control algorithms that are applicable to non-minimum phase system with time delay.
针对非最小相位系统，将系统的耦合作用视为可测干扰，采用前馈方法予以消除。
For a non_minimum phase system, the interaction of the system is viewed as measurable disturbance and decoupled using feedforward strategy.
探讨了关于非最小相位系统的参考模型自适应控制系统（MRACS）的一种设计方法。
This paper is concerned with a design of a model refenrence adaptive control system (MRACS)for a nonminimum phase system.
由于系统的内部动态不稳定，非最小相位系统的输出跟踪问题是一个具有挑战性的非常困难的问题。
The output tracking problems of non minimum phase systems are very difficult, because the internal dynamics of the systems are unstable.
为同时抑制时滞及非最小相位系统的超、负调和加快系统响应，本文提出一种基于模糊推理的智能内模控制系统。
Aiming to decrease overshoot, undershoot and settling time of non-minimum phase system with time delay, this paper proposes an intelligent IMC control system based on fuzzy inference.
模型预测控制对模型精度要求不高，对模型失配、非最小相位系统、不确定干扰的影响具有较强的鲁棒性，具有较高的控制性能。
Model predictive control the accuracy of the model do not ask for much on the model mismatch, non-minimum phase systems, the impact of uncertain interference robustness, higher performance.
讨论了一类非最小相位系统的输出跟踪问题。非最小相位系统广泛存在于机器人柔性结构控制、飞机的飞行控制和航天器发射等实际问题中。
Output tracking problems for non minimum phase system existed in many practical problem, such as aircraft flight controlling, spacecraft launching and flexible manipulation, are considered.
通过镜像映射将非稳定过程转换成最小相位系统，然后用闭环增益成形算法求解鲁棒控制器。
An unstable process is transformed into a minimum-phase system through mirror-injection, then solve the robust controller using closed loop gain shaping algorithm.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
对时滞及非最小相位的多变量系统，提出了系统解耦应满足的条件和需要注意的事项。
According to the multivariable non-minimum phase system with time delay, the conditions of system decoupling and the points for attention are put forward.
建立了磁浮轴承的近似非最小相位传递函数模型，并基于此模型设计了保证系统稳定的闭环控制器。
An approximate non-minimum phase transfer function of magnetic suspension bearing is established, on the basis of that, a closed-loop controller is designed and makes the whole system stable.
针对一类不确定的离散时间非线性非最小相位动态系统，提出了一种基于神经网络和多模型的直接自适应控制方法。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems.
本文在不外加输入激励情况下，讨论了开环不稳定和非最小相位的ARMAX系统系数的一致估计。
Without introducing any external excitation to the system input, this paper gives consistent estimates for the coefficients of an ARMAX system, which is allowed to be unstable and of nonminimum-phase.
本文在不外加输入激励情况下，讨论了开环不稳定和非最小相位的ARMAX系统系数的一致估计。
Without introducing any external excitation to the system input, this paper gives consistent estimates for the coefficients of an ARMAX system, which is allowed to be unstable and of nonminimum-phase.
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