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这是一个混沌程序
本程序基于彭加莱映射原理,用数值积分法演示非线形动力系统的特性-This is a chaotic process based on the procedures Peng Calais mapping theory, numerical integration of non-linear presentation of the characteristics of dynamic systems
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分形维数作为科学研究的重要工具之一,它是描述自然界和非线性系统中不光滑和不规则几何体的有效工具,其
计算方法已经有多种,应用领域也是十分广泛。然而,各种方法各有不同,文中就此对常用分形维数计算方法进行了系统
的综合与研究,主要包括圆规法、明科斯基方法、变换方法、盒子计算方法、周长- 面积法、裂缝岛屿方法、分形布朗模型法,
对每种方法的含义和模型及相关的应用领域进行了阐述,并给出了其方法的计算机实现算法。-As one of science study tools ,fractal d
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Object-based framework for performing Kalman filtering for discrete time systems or continuous-discrete hybrid systems. Includes code for the classical Kalman filter for linear systems, the extended Kalman filter (EKF), and the more recent unscented
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the newtown rapson method to solve systems of non-lineaire equations-the newtown rapson method to solve systems of non-lineaire equations
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BP神经网络的非线性系统建模-非线性函数拟合-BP neural network modeling of nonlinear systems- non-linear function fitting
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The GMRES method was developed by Yousef Saad and Martin H. Schultz in 1986.[1] GMRES is a generalization of the MINRES method developed by Chris Paige and Michael Saunders in 1975. GMRES also is a special case of the DIIS method developed by Peter P
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该段程序实现的是模糊PID控制。讲模糊控制技术和PID控制结合起来，不仅满足线性系统的需求，更适合于非线性系统。-This section of the program to achieve fuzzy PID control. Stresses combine fuzzy control and PID control, not only meet the demand of the linear system, more suitable for non-linear systems.
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In this paper we give an account of a new change of perspective in nonlinear
modelling and prediction as applied to smooth systems. The core element
of these developments is the Gamma test a non-linear modelling and analysis tool
which allows u
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Stable adaptive fuzzy control for MIMO non linear systems 20-Stable adaptive fuzzy control for MIMO non linear systems 2011
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把RBF神经网络运用到对非线性的系统进行逼近上的仿真-The RBF neural network applied to the simulation of non-linear systems on the approximation
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In this paper an alysis of the stability enhancement and improved damping of power swings in a multi-machine power system by means of thyristor-controlled braking resistor installed in the network has been presented. The control law has been derived
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IT gives a clear explanation of non-linear systems
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this file is about sdre control technique for non linear systems.it is widely used in aeropsace,auto mobile industries
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matlab LMI code The paper deals with the problems of designing observers and unknown input observers for discrete-time Lipschitz
non-linear systems. In particular, with the use of the Lyapunov method, three different convergence criteria of the obs
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Volterra series are used to model certain classes of non
linear systems. This resulting model prouds by its linearity
with respect to its parameters but it presents some drawback
due to the complexity resulting the huge number of
parameters e
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Volterra series are used to model certain classes of non
linear systems. This resulting model prouds by its linearity
with respect to its parameters but it presents some drawback
due to the complexity resulting the huge number of
parameters e
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A review on prognostic techniques for non-stationary and non-linear rotating systems
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This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear
dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied
to a non
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正交参数估计算法。非线性随机系统的优化控制问题研究，经典文献(Orthogonal parameter estimation algorithm for
non-linear stochastic systems)
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This book is basic tool for studying the non linear system stability. It is very classic book.
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