The analog neural controller is suitable for the control over uncertain objects and provides a novel approach for a type of uncertain control system.
该模拟神经控制器能用于不确定对象的控制，为不确定系统控制提供了一种新的途径。
The analog neural controller can be applicable to the control of uncertain objects and provides a novel approach for the type of an uncertain control system.
该模拟神经控制器能用于不确定对象的控制，为不确定系统控制提供了一种新的途径。
The optimal control design for the uncertain piecewise linear system has been converted to the problem of optimizing upper bound and seeking lower bound of the optimal control performance.
针对不确定分段线性系统，将最优控制设计问题转化成最优控制性能上界的优化问题及性能下界的求取问题。
A method of sliding mode control based on fuzzy logic, for a class of linear uncertain system shown in phase coordinate, is presented It if derived from the principle of sliding mode control.
本文针对一类相坐标表示的线性不确定系统，根据滑模控制原理，提出一种基于模糊逻辑的滑模控制方法。
This proposed control system can learn to control the system dynamically, such as nonlinear system and uncertain system.
该控制系统可以对非线性系统，不确定系统等进行无监督的学习控制。
Simulation results demonstrate that the proposed controller is robust to both time delay and changes of uncertain parameters, and the system has strong control ability for restraining disturbance.
数值仿真结果表明，所设计的控制器对时滞和不确定参数变化都具有鲁棒性，同时系统对干扰具有很强的抑制能力。
Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.
仿真结果表明，该方案可以实现模糊控制和神经网络的优势互补，对不确定非线性系统具有很好的控制效果。
This paper presents an integral sliding mode adaptive control scheme for a class of nonlinear system with uncertain parameters.
针对一类参数不确定的非线性系统，提出了一种积分滑模自适应控制策略。
A derivative and integral sliding mode adaptive control scheme is proposed for a class of nonlinear system with uncertain parameters.
针对一类参数不确定的非线性系统，提出了一种微分与积分滑模自适应控制策略。
For drying process is influenced by many kinds of uncertain factors, traditional analog control system can't satisfied with requirement.
由于干燥过程受各种不确定因素的影响，传统的模拟式控制系统在许多方面难以满足这些要求。
This paper studies the delay dependent memoryless robust stabilization problem for a class of uncertain linear system with time varying delays in both state and control.
本文研究了一类状态和控制同时存在滞后的不确定线性系统时滞依赖型鲁棒镇定问题。
For a class of uncertain nonlinear time-delay systems, a state feedback control method which cause the system quadratic stabilization is proposed.
对于一类不确定非线性时滞系统，研究使系统二次稳定的状态反馈控制方法。
This paper studies the synthesis and design problem of variable structure control for a linear discrete uncertain singular system with time-delays.
研究了一类线性离散时滞广义不确定系统的变结构控制的综合与设计问题。
The biological immune system is one kind of control systems, which has very strong robustness and self-adapted ability in the complex disturbance and uncertain environment.
生物免疫系统是一种在复杂干扰和不确定性的环境中具有很强的鲁棒性和自适应性的控制系统。
Research on synchronous control theory of uncertain chaotic dynamical system.
不确定连续混沌动力学系统的同步控制理论研究。
The problem of robust decentralized output feedback control of uncertain similar composite system is discussed.
讨论了不确定相似组合系统的鲁棒分散输出控制问题。
Synchronization and parameters identification of uncertain different-structural chaotic system via active control is researched.
研究了基于主动控制的不确定异构系统之间的同步和参数辨识问题。
ABSTRACT the robust analysis for uncertain system is a important subject in the modern control theory.
不确定性系统的鲁棒分析是现代控制理论中的重要课题之一。
The control system must be adaptive to the uncertain parameters to overcome the modeling error, uncertainty of the hydrodynamic parameters and unknown ware disturbances.
由于自主水下航行器建模误差、流体动力学参数的不确定性和未知海流干扰，控制系统必须具有对不确定参数的自适应能力。
According to the nonlinear, uncertain and large scale characteristics of urban road network system, a novel distributed and cooperative control algorithm based on fuzzy neural network is designed.
针对城市路网交通系统规模大和非线性、不确定性强等特点，利用模糊神经网络设计了一种新的实时分散协调控制算法。
The classical control method is usually hard to ensure the thermal power tracking accuracy, because the nuclear reactor system is a complex nonlinear system with uncertain parameters and disturbances.
动力堆控制系统是一带不确定参数及干扰的复杂非线性系统，采用常规的古典控制很难保证其热功率精确跟踪负荷的变化。
The D-stable fault-tolerant control problem of discrete time-delay uncertain system is studied.
研究了离散时滞不确定系统的D稳定容错控制问题。
PID algorithm is widely used in industrial control, but it has disadvantages in nonlinear and uncertain system.
PID算法是一个广泛应用于工业控制的算法，但它对非线性和不确定性系统适应性不够理想。
With regards to the characteristics of uncertain delay of networked control system, two control schemes are introduced.
针对网络控制系统具有不确定时延的特性，介绍了网络控制系统的两种控制方法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
Simulating results prove that neural network decoupling control is satisfactory in the system with uncertain parameters.
实验结果表明，神经网络可以使对象不确定的耦合系统实现解耦控制，效果令人满意。
This paper proposes a simple adaptive control (SAC) system design approach for processes with uncertain time delay and Affine linear structured uncertainty.
讨论了具有不确定性时滞及仿射结构不确定系统的简易自适应控制问题。
Aiming at uncertain factors such as the load disturbance and it is difficult to establish accurate mathematical model in motor control system, traditional control theory can not be made good effect.
针对电动机控制系统中难以建立精确数学模型以及负载扰动等不确定性因素，无法使传统控制理论取得良好的应用效果，设计了一种智能电机控制方法。
Aiming at uncertain factors such as the load disturbance and it is difficult to establish accurate mathematical model in motor control system, traditional control theory can not be made good effect.
针对电动机控制系统中难以建立精确数学模型以及负载扰动等不确定性因素，无法使传统控制理论取得良好的应用效果，设计了一种智能电机控制方法。
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