Results 261 to 270 of about 1,023,856 (306)
Some of the next articles are maybe not open access.

Time Series Analysis by State Space Methods

Technometrics, 2005
(2005). Time Series Analysis by State Space Methods. Technometrics: Vol. 47, No. 3, pp. 373-373.
openaire   +1 more source

A Heuristic Method to Isolate the State Space

2009 International Conference on Computational Intelligence and Software Engineering, 2009
is a key problem, these mentioned above approaches are build on the decomposition of the state space. In these approaches, the state space is decomposed according to the prior problem domain knowledge with the assistance of human, but that would make the decomposition is problem-specific, and also destroy the agent’s autonomy: the most merit of RL.
Zhao Jin, WeiYi Liu, Jian Jin
openaire   +1 more source

Linear State Space Control Methods

2021
Here we explore the control of marine vehicles when their dynamics can be modeled in state space as linear time invariant systems. With this approach one can determine if the vehicle is controllable and whether it is possible to estimate the full system state using available measurements of its output.
openaire   +1 more source

A State Recognition Method Based on the State Space Theory

Advanced Materials Research, 2014
With the development of the monitoring technology in industrial process, it is increasingly important for state recognition of the mechanical devices. By learning from the immune identification process, state space theory is used for state recognition in this paper.
Xi He, Yu Jiong Gu, Ting Xu
openaire   +1 more source

Temporal disaggregation by state space methods: Dynamic regression methods revisited [PDF]

open access: possibleThe Econometrics Journal, 2006
Summary: The paper advocates the use of state space methods to deal with the problem of temporal disaggregation by dynamic regression models, which encompass the most popular techniques for the distribution of economic flow variables, such as Chow-Lin, Fernández and Litterman.
openaire   +3 more sources

An application of a state-space linearization method to a robot manipulator

IEEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications, 2002
An efficient method to design nonlinear controller for robot manipulators, based on state-space linearization concept, is presented. The method consists of three steps: (1) abbreviated equations which approximate the dynamic equations of a manipulator are calculated by Fourier transform; (2) using the simplified equations, linear dynamic equations ...
Yasuo Takagi   +2 more
openaire   +1 more source

State-space methods

2022
Andrea Benigni, Antonello Monti
openaire   +1 more source

State-space models and matrix methods

1993
In many cases a two-state approach for reliability analysis of systems composed of multiple components is not appropriate. This is so especially when redundancy is applied or when some components have multiple failure modes having non-identical impacts on system performance.
D. J. Sherwin, A. Bossche
openaire   +1 more source

Human State Recognition Method in Intelligent Space

2023 IEEE/SICE International Symposium on System Integration (SII), 2023
Haruhiro Ozaki   +2 more
openaire   +1 more source

Component Modeling with State-Space Method

2016
A state-space representation, also known as the ‘time-domain approach’, is a mathematical model of a physical system as a set of input, output, and state variables related to first-order differential equations.
Ye Yao, Yuebin Yu
openaire   +1 more source

Home - About - Disclaimer - Privacy