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NewsequentialMonteCarlomethodsfornonlineardynamics
- New sequential Monte Carlo methods for nonlinear dynamic systems 不错的文章-New sequential Monte Carlo methods for nonlinear dynamic systems good article
Welch_2006_Filter
- The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.-dd
performance_analysis
- Performance Analysis of Channelized Cellular Systems With Dynamic Channel Allocation
Systemview
- Systemview动态系统分析及通信系统仿真设计-Systemview Dynamic Systems Analysis and Design of Communication System Simulation
Identification-and-Control-of-Dynamic-Systems-Usi
- idenification and control of dynamic systems
fault-diagnosis
- A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems
1CHAOTIC-SIGNALS-AND-SYSTEMS-
- 我们使用一个由混沌Lorenz（洛伦兹）系统控制的动态发射电路证明这两种方法。利用同步的混沌系统表达了一个用同步接收电路进行信号恢复的思想。-We use a chaotic Lorenz (Lorenz) system controls the dynamic transmission circuit that both methods. Expression of synchronization of chaotic systems using a receiver with a sync
tank-training-systems
- 六自由度并联机构实现坦克驾驶模拟仿真，在逆运动学基础上推导耦合角度及耦合速度，提出动载坦克模拟器螺旋耦合补偿。-Six DOF parallel mechanism to achieve tanks driving simulation, inverse kinematics derived based on the coupling angle and the coupling speed, dynamic load tank simulator proposed spiral couplin
STEADY-STATE-AND-DYNAMIC-MODELLING
- STEADY-STATE AND DYNAMIC MODELLING OF VSC HVDC SYSTEMS FOR POWER SYSTEM SIMULATION
01023016
- This paper describes a modeling approach for nonlinear dynamic systems based on a modified Volterra series by comparing the truncation error of this series with that of the classical Volterra one, we outlined that, under the assumption of sh
NFS_ECG
- The performance of controlled complex dynamic systems inevitably suffers from various disturbances and uncertainties. Moreover, different faults (sensor and actuator faults for example) can occur. Sliding mode based observers have shown high perf
anfis-ksu
- forward and inverse modeling of nonlinear dynamic systems
Vibration-Monitoring
- The HHT represents a time-dependent series in a two-dimensional (2-D) time-frequency domain by extracting instan eous frequency components within the signal through an Empirical Mode Decomposition (EMD) process. The analytical background of t
Matlab
- 卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。-Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for lin
Harold-Klee--Randal-Allen-Simulation-of-Dynamic-S
- Harold Klee, Randal Allen-Simulation of Dynamic Systems with MATLAB and Simulink, 2nd Edition-CRC Press (2011)
Dynamic-Learning
- Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems
45TOAUTOCJ
- Robust Fuzzy Fault Detection for Non-Linear Stochastic Dynamic Systems
Lyapunov
- Tools for analysis of dynamic systems: Lyaponov s methods.
Advanced-Optical-Wireless-Communication-Systems-.
- Optical wireless communications is a dynamic area of research and development. Combining fundamental theory with a broad overview, this book is an ideal reference for anyone working in the field, as well as a valuable guide for self-study.
C55
- The role of the transmission network in the Power System is to transmit the power generated in the power plants to the load centers and the interconnected power systems. The transmission of electric power has to take place in the most efficient w