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pro vyhledávání: '"Brown, Scott"'
This paper introduces a novel recursive distributed estimation algorithm aimed at synthesizing input and state interval observers for nonlinear bounded-error discrete-time multi-agent systems. The considered systems have sensors and actuators that ar
Externí odkaz:
http://arxiv.org/abs/2401.15511
In this paper, we consider the computation of controlled invariant sets (CIS) of discrete-time nonlinear control affine systems. We propose an iterative refinement procedure based on polytopic inclusion functions, which is able to approximate the max
Externí odkaz:
http://arxiv.org/abs/2304.11757
This paper proposes a novel distributed interval-valued simultaneous state and input observer for linear time-invariant (LTI) systems that are subject to attacks or unknown inputs injected both on their sensors and actuators. Each agent in the networ
Externí odkaz:
http://arxiv.org/abs/2303.11407
Autor:
Dao, Viet Hung, Gunawan, David, Kohn, Robert, Tran, Minh-Ngoc, Hawkins, Guy E., Brown, Scott D.
Evidence accumulation models (EAMs) are an important class of cognitive models used to analyze both response time and response choice data recorded from decision-making tasks. Developments in estimation procedures have helped EAMs become important bo
Externí odkaz:
http://arxiv.org/abs/2302.10389