搜索结果: 1-12 共查到“理学 State space”相关记录12条 . 查询时间(0.242 秒)
Optimal Synthesis and Explicit State-Space Solution for a Decentralized Two-Player Linear-Quadratic Regulator
Two-Player Linear-Quadratic State-Space Solution
2015/6/19
In this paper, we develop controller synthesis algorithms for decentralized control problems. The system considered here is an information structure, consisting of two interconnected linear subsystems...
A State-Space Solution to the Two-Player Decentralized Optimal Control Problem
Optimal Control Problem Two-Player Decentralized
2015/6/19
In this paper, we present an explicit state-space solution to the two-player decentralized optimal control problem. In this problem, there are two interconnected linear systems that seek to optimize a...
State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing
Magnetoencephalography source localization Kalman filter fixed interval smoother
2011/8/17
Abstract: Determining the magnitude and location of neural sources within the brain that are responsible for generating magnetoencephalography (MEG) signals measured on the surface of the head is a ch...
Canonical lossless state-space systems: Staircase forms and the Schur algorithm
Lossless systems input normal forms output normal forms balanced canonical forms
2011/2/21
A new finite atlas of overlapping balanced canonical forms for multivariate discrete-time lossless systems is presented. The canonical forms have the property that the controllability matrix is positi...
Research on the state space reconstruction applying in fault diagnosis of Diesel engine
State space reconstruction Phase Diagram Analysis
2010/9/25
Analyzing the data of diesel surface vibration acceleration monitoring, the method of state space reconstruction was applied. Processing the vibration acceleration signal via integration and filtering...
Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models with applications to parameter estimation
Non-asymptotic deviation inequalities smoothed additive functionals in non-linear state-space parameter estimation
2011/2/22
Approximating joint smoothing distributions using particle-based methods is a well-known issue in statistical inference when operating on general state space hidden Markov models (HMM). In this paper ...
Convex Optimization In Identification Of Stable Non-Linear State Space Models
Convex Optimization Identification Stable Non-Linear State Space Models
2010/12/1
A new framework for nonlinear system identification is presented in terms of optimal fitting of stable nonlinear state space equations to input/output/state data, with a performance objective defined ...
Counting SO(9)xSU(2) representations in coordinate independent state space of SU(2) Matrix Theory
Counting SO(9)xSU(2) representations SU(2) Matrix Theory
2010/12/8
We consider decomposition of coordinate independent states into SO(9)×SU(2)representations in SU(2) Matrix theory. To see what and how many representations appear in the decomposition, we compute the ...
Using a spatio-temporal dynamic state-space model with the EM algorithm to patch gaps in daily riverflow series
patch gaps daily riverflow series
2009/5/18
A spatio-temporal linear dynamic model has been developed for patching short gaps in daily river runoff series. The model was cast in a state-space form in which the state variable was estimated using...
A state space search algorithm and its application to learn the short-term foreign exchange rates
State space search discrete recurrent neural networks absolutelystable foreign exchange rates
2010/9/13
We propose the use of a state space search algorithm of the discretetime recurrent neural network to learn the short-term foreign exchange rates. By searching in the neighborhood of the target traject...
State Space Consistency and Differentiability Conditions for a Class of Causal Dynamical Input-Output Systems
State Space Consistency Differentiability Conditions Class of Causal Dynamical Input-Output Systems
2010/12/14
A causal input-output system may be described by a function space for inputs, a function space for outputs, and a causal operator mapping the input space into the output space. A particular representa...
MARKOV DECISION PROGRAMMING-THE FIRST PASSAGE MODEL WITH DENUMERABLE STATE SPACE
Markov decision programming first passag
2007/8/7
0)-optimal stationary policy exists. To find an ε-optimal stationary policy, an algorithm of policy improvement iteration and a method of successive approximations are given.