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- Knowledge-Based Variable Structure Decoupling Control of a Nonlinear Multivariable System 基于知识的多变量非线性系统变结构解耦控制
- Fuzzy-Neuro Network Adaptive Controller for a Class of Nonlinear Multivariable System 一类非线性多变量系统的模糊神经网络自适应控制
- nonlinear multivariable system 非线性多变量系统
- Multiple Models Adaptive Decoupling Control for a Class of Nonlinear Multivariable Systems 一类非线性多变量系统的多模型自适应解耦控制
- The process of the wood drying is a complicated system which is a nonlinear multivariable and coupling system, it is time-variable and uncertain. 木材干燥过程是一个非线性、多变量、强耦合的复杂系统，具有时变性和不确定性。
- A kind of HMRAC scheme is presented.It takes states from model for multivariable system including nonlinear disturbance. 对包含非线性扰动的多变量系统，提出了一种从参考模型取状态HMRAC方案。
- Multivariable system robust adaptive decoupling control. 多变量系统解偶自适应控制。
- The self-learning method of neuron decoupling and its mechanism in multivariable system are analysed. 文章以三输入三输出系统为例，详细分析了神经元解耦的学习方法，及其在多变量系统中的工作机理。
- General design theory for nonlinear reduced order observers (NRO) for forced nonlinear multivariable plants was proposed, with the Luenberger linear reduced order observers as just a special form of the general model. 提出非线性多变量受控对象的非线性降维观测器(NRO)的一般设计理论 ,从而使 L uenberger线性降维观测器成为其特殊形式。
- In the existence of system noise, a new data-driven controller is proposed without any prior knowledge for linear time-varying (LTV) multivariable system. 摘要针对线性时变多变量系统，在可能存在输入输出数据噪声的情况下，不需己知系统的先验结构信息，提出一种完全数据驱动的子空间辨识及控制器设计方法。
- By virtue of this,the augmented LQR method results in a robust multivariable system which can eliminate steady state errors,keeping as good robustness as LQR. 采用一种增广LQR方法,将原系统状态的导数和指令跟踪的误差作为增广的状态向量,使设计出来的多变量系统不仅具有LQR的好的鲁棒性,而且在用于指令跟踪时能消除稳态误差。
- A new method is put forward, which can handle the time delay of multivariable system using multivariable generalized predictive control(MGPC) algorithm. 摘要文章提出了用广义预测控制算法解决多变量系统的时滞问题的一种新的方案。
- Combined identification algorithms for linear multivariable systems. 线性多变量系统的联合辨识算法。
- systems of nonlinear multivariable equations 多元非线性方程组
- The approximate model selection problem in multivariable system was studied.An optimal approximate model selection method based on self-adapting genetic algorithm was proposed. 摘要研究多变量系统近似模型设计方法中近似模型的选取问题，提出基于自适应遗传算法的最优近似模型选取算法。
- In the self-developed multivariable system design platform for a parameter uncertainty robust industrial object system design shows its effectiveness and practicality. 在自行研制的多变量系统设计平台中对一个参数不确定性工业对象的鲁棒系统进行设计，结果表明了该算法的有效性和实用性。
- The paper proposes an adaptive second-order sliding mode decomposed control method used for a multivariable system with parameter uncertainties and external disturbances. 摘要提出了一种多变量模型不确定系统的自适应二阶终端滑模分解控制方法。
- Backstepping, robust adaptive controller,RMRAC,multivariable systems,high-frequency gain matrix,LDU factorization. 01反推;鲁棒自适应控制器;鲁棒模型参考自适应控制;多变量系统;高频增益矩阵;LDU分解
- Owing to good nonlinear multivariate calibration nature of ANN,the predicted results was reliable. 由于人工神经网络好的非线性的多变量校正特点,预测结果是准确的。
- The method proposed in the paper is significant for multivariable systems with high dimensions, which can simplify the design and realize robust decomposed control. 该控制方法对于维数较高系统的控制具有较大的意义，可简化设计，实现鲁棒分解控制。
