Results 231 to 240 of about 1,418,610 (267)
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BCD MODEL FOR HUMAN STATE IDENTIFICATION

IFAC Proceedings Volumes, 2007
Abstract The paper presents an attempt to use the so-called BCD model (i.e., Benefit/Cost/Deficit model) in order to identify the human state. Different human states are taken into account from the automation and mechanical viewpoints to the psychological and physiological ones.
Marie-Pierre Pacaux-Lemoine   +1 more
openaire   +1 more source

Identification of nuclear cluster-molecular states

Physical Review C, 1991
Gai {ital et} {ital al}. have proposed that cluster-molecular structure, in which a three- or four-particle cluster is well separated from the core, can be identified by the strong {ital E}1 transitions connecting cluster states with this structure.
, Cottle, , Kemper
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State Identification.

2005
In this chapter, we deal with the problem of state identification of finite-state Mealy machines. Before defining the problem formally, let us illustrate it with a few examples and point out its differences with the similar problem of finding a homing sequence.
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System Identification Methods for Identification of State Models

2015
System Identification (SI) is a methodology for building mathematical models of dynamic systems from experimental data, i.e., using measurements of the system input/output (IO) signals to estimate the values of adjustable parameters in a given model structure. The process of SI requires some steps, such as measurement of the IO signals of the system in
Marta Sofia Esteves   +2 more
openaire   +1 more source

Identification of Steady State and Transient State

Journal of Shanghai Jiaotong University (Science), 2022
Sheng Yu, Xiangshun Li
openaire   +1 more source

Hidden state and reinforcement learning with instance-based state identification

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996
Real robots with real sensors are not omniscient. When a robot's next course of action depends on information that is hidden from the sensors because of problems such as occlusion, restricted range, bounded field of view and limited attention, we say the robot suffers from the hidden state problem.
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A New Approach to System Identification and State Estimation

IEEE Transactions on Systems, Man, and Cybernetics, 1972
An effective on-line procedure is presented for system identification and state estimation for multiple-input multiple-output linear systems. The proposed solution offers consistent system identification, bounding of the steady-state covariance, and computational savings.
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Identification of excited states in 119Ba

2000
Excited states have been identified in the very neutron-deficient 119Ba nucleus. Two bands have been observed, which are likely to be based on h11/2 and (g7/2d5/2) neutron orbitals. Despite this being the first observation of excited states in 119Ba, the bands extend to (75/2)ℏ and (79/2)ℏ, respectively.
Lane, G.J.   +15 more
openaire   +1 more source

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