Results 231 to 240 of about 1,418,610 (267)
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BCD MODEL FOR HUMAN STATE IDENTIFICATION
IFAC Proceedings Volumes, 2007Abstract 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
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Identification of nuclear cluster-molecular states
Physical Review C, 1991Gai {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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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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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
2015System 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
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Identification of Steady State and Transient State
Journal of Shanghai Jiaotong University (Science), 2022Sheng Yu, Xiangshun Li
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Hidden state and reinforcement learning with instance-based state identification
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996Real 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, 1972An 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
2000Excited 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
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Chapter 3. Identification with the State and Identifications by the State
2022openaire +1 more source

