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AnadaptiveKalmanfilterfortheenhancementofspeechsig
- This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in w
RobustadaptiveKalmanfilteringbasedspeechenhancemen
- This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autore
Task
- 用状态空间法求解传教士-野人问题,设计启发式函数引导规则的选用。 通过设计,深入理解状态空间概念与启发式搜索技术,培养一般问题求解能力。-Using state space method for solving the missionaries- Yeti issues, design heuristic function to guide the selection of the rules. By design, in-depth understanding of the conc
tuoluo_piaoyi_feipingwenshijian
- 将非平稳时间序列的状态空间建模方法用于陀螺过渡过程的分析.基于平滑先验约束的概念,使用卡尔曼滤波和赤池的AIC方法拟合全局模型,得到陀螺漂移模型的若干数值结果并用于陀螺系统分析.由于观测序列的趋势项、不规则分量可同时建模,因此比分别建模在统计上更加准确有效.-Will be non-stationary time series state space modeling method for the analysis of the transition process gyro. Priori s
rengongzhineng
- 野人过河问题,本实验研究了用人工智能的理论求解传教士(Missionaries)与野人(Cannibals)过河问题(M-C问题)。实验设计采用产生式系统的概念,将问题用状态空间表示,搜索技术采用状态空间启发式搜索的A算法,规则设计采用产生式规则,用C语言实现了A算法求解M-C问题,加深了对人工智能的认识与理解。-Savage river problems, this experimental study the theory of using artificial intelligence t
Power-Control-for-CDMA
- a robust 1 prediction-based pole placement control design is introduced for CDMA uplink power control via the LMI method from the state-space perspective
Matrix-Method-to-Linearization-and-State-Space.ra
- Matrix Method to Linearization and State Space Representation of Power Systems Containing Doubly Fed Induction Machines Operating as Wind Generators
Modern-1
- Control modern book ppt state space modeling
1-Introduction-and-Preview
- The classical state-space model for a proper system, corresponding to a set of ordinary differential equations (ODEs), can be obtained by selecting a minimal set of variables (known as state variables). However, there are practical situations w
4-Robust-Control
- The problems of robust stability and robust stabilization of linear state-space systems with parameter uncertainties have been extensively studied in the past decades [25, 209]. Many results on these topics have been proposed. Among the differe
5
- decades. The so-called bounded real lemma has played an important role in solving this problem. In the contexts of both the state-space and singular systems, a great number of results on H∞ control have been reported and different approaches ha
6-Guaranteed-Cost-Control
- decades. The so-called bounded real lemma has played an important role in solving this problem. In the contexts of both the state-space and singular systems, a great number of results on H∞ control have been reported and different approaches ha
7-Positive-Real-Control
- decades. The so-called bounded real lemma has played an important role in solving this problem. In the contexts of both the state-space and singular systems, a great number of results on H∞ control have been reported and different approaches ha
State-Space-Modeling-of-Wind-Turbine-Generators.r
- state space modeling of wind turbine
State-space-model-4
- Motion Planning for Humanoid Robots Using Timed Petri Net and Modular State Net
State-space
- state-space . (describtion) - state-space . (describtion)
controlPState-Space-Method-Example
- control+State-Space Method Example
state-MPC
- 状态空间方程是现代控制理论的基础,在预测控制算法中,当系统釆用状态方程表达式时,不需要像求解广义预测控制律一样在线求解Diophantine方程,并且使得MIMO系统的系统表达和公式的推导更为简洁和直观,有利于预测控制方法的稳定性分析,已被越来越的人所采用.-State space equation is the basis of modern control theory, predictive control algorithm, when the system adopts an expr
state-space-design
- system dynamics and control using state space design.
Linear State-Space Control Systems
- linear state-space control systems course