Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Fractional modeling of hepatitis B virus transmission via heterosexual and homosexual contacts and its disability burden. [PDF]
Guedri K +5 more
europepmc +1 more source
An adaptive hybrid quadrature scheme: Combining Simpson's rule and Gaussian quadrature for enhanced numerical integration. [PDF]
Asgedom AA, Kefela YY.
europepmc +1 more source
Machine Learning and SHapley Additive exPlanation-Based Interpretation for Predicting Mastitis in Dairy Cows. [PDF]
Zhou X +6 more
europepmc +1 more source
Unified Discontinuous Galerkin Analysis of a Thermo/Poro-viscoelasticity Model. [PDF]
Bonetti S, Corti M.
europepmc +1 more source
Age-structured malaria model with temperature-dependent dynamics and optimal control analysis within a partial differential equation framework. [PDF]
Petros LD +7 more
europepmc +1 more source
Sidelobe suppression for cosine-sum window functions via chaotic particle swarm optimization. [PDF]
Dong Z, Chen Y.
europepmc +1 more source
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New Criteria for Polynomial Stability
IMA Journal of Mathematical Control and Information, 1987New criteria for real-polynomial stability, developed during 1957-1978, are introduced. The real polynomial \(f(x)=a_ 0x^ n+a_ 1x^{n- 1}+...+a_ n\) is called stable if every one of its roots has negative real part. We define determining coefficients \[ \alpha_ i=a_{i- 1}a_{i+2}/a_ ia_{i+1}\quad (i=1,...,n-2), \] for the positive- coefficient polynomial
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