Discrete State Space ModelsConsider a two-level system ( N = 2) with the general transition rate matrix.doi:10.1007/978-3-319-07091-9_3Viktor HolubecSpringer International Publishing
In this chapter, we present a state-space model in discrete timethat can be... MSE Tuffaha 被引量: 6发表: 2016年 Cultural quantum-behaved particle swarm optimization for environmental/economic dispatch evolution mechanism is introduced into quantum-behaved particle swarm optimization (QPSO) to ...
Discrete State-Space http://tieba.baidu. 实现离散状态空间系统 库 离散 描述 块特性为非空矩阵 Discrete State-Space块实现所描述的系统 其中,u为输入,x是的状态,和y为输出。矩阵系数必须具有以下特征,如下面的图中示出 A必须的n×n矩阵,其中n是状态的数量。 B必须是一个的n×m矩阵,其中m是的输入的数量...
The resulting framework is a monolithic discrete-time state-space formulation, which provides a powerful tool for the stability boundary prediction of a flexible vehicle through a direct generalized eigenvalue analysis. It offers increased fidelity as compared to traditional tools, and at very low ...
SUMMARYA general p-shift linear optimal finite impulse response (FIR) estimator is proposed for filtering (p = 0), p-lag smoothing (p 0) of discrete time-varying state-space models. An optimal solution is found in the batch form with the mean square initial state function...
model_private.h作为一个外部的指针声明的状态 State name启用此参数 设置此参数为 ExportedGlobal, ImportedExtern, 或 ImportedExternPointer 启用 Code generation storage type qualifier. Code generation storage type qualifier 指定一个Simulink编码器的存储类型限定符。默认值是“”。当该字段为空,没有限定符分配...
In this paper, a new type of output feedback control, called a receding horizon finite memory control (RHFMC), is proposed for stochastic discrete-time state space systems. Constraints such as linearity and finite memory structure with respect to an input and an output, and unbiasedness from ...
This paper presents the discrete adaptive sliding mode control of a state-space system in the presence of a bounded disturbance. The delta form of the discrete state-space model is used as it closely resembles that of the continuous model. The control law takes into account of the effect of...
图2 world model的学习 world model也就是先用仿真器生成的数据来训练模型。文章的说法就是: 使用从实际仿真器生成的episode中采样固定长度的序列来训练模型,文中使用的长度为L=50,同时batchsize也是50,使用RNN模型,也就是文中提到的RSSM(Recurrent State-Space Model). ...
Random fields and orientational order in models with a continuous-energy minimum set in q space and in magnetic systems favoring an incommensurate order We study the influence of quenched random fields on the ground-state properties of a Ginzburg-Landau-Wilson model with a continuous set of energy...