Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model

2010 ◽  
Vol 58 (2) ◽  
pp. 477-489 ◽  
Author(s):  
S.A. Pasha ◽  
Hoang Duong Tuan ◽  
Ba-Ngu Vo
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Valiollah Ghaffari ◽  
Saleh Mobayen ◽  
Sami Ud Din ◽  
Andrzej Bartoszewicz ◽  
Amin Torabi Jahromi

Author(s):  
Madeline Baer

Chapter 2 presents the central research questions that drive the theoretical and empirical work of the book, outlines the “moments of social transformation” model used for analyzing human rights realization, and positions the book in relation to theoretical and contemporary policy debates. The chapter synthesizes the literatures on socioeconomic human rights fulfillment and the human right to water and sanitation. It introduces two key elements for implementing human rights: political will and state capacity, as well as some obstacles to rights realization, including lack of strong regulatory frameworks and accountability mechanisms. The chapter explores the tensions between markets and rights, finding that neoliberal approaches to water policy have a negative effect on rights fulfillment by weakening the state’s role, and it engages with critiques that the human rights frame is too narrow and vague to facilitate transformative change in the water sector.


Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3425
Author(s):  
Huanping Li ◽  
Jian Wang ◽  
Guopeng Bai ◽  
Xiaowei Hu

In order to explore the changes that autonomous vehicles would bring to the current traffic system, we analyze the car-following behavior of different traffic scenarios based on an anti-collision theory and establish a traffic flow model with an arbitrary proportion (p) of autonomous vehicles. Using calculus and difference methods, a speed transformation model is established which could make the autonomous/human-driven vehicles maintain synchronized speed changes. Based on multi-hydrodynamic theory, a mixed traffic flow model capable of numerical calculation is established to predict the changes in traffic flow under different proportions of autonomous vehicles, then obtain the redistribution characteristics of traffic flow. Results show that the reaction time of autonomous vehicles has a decisive influence on traffic capacity; the q-k curve for mixed human/autonomous traffic remains in the region between the q-k curves for 100% human and 100% autonomous traffic; the participation of autonomous vehicles won’t bring essential changes to road traffic parameters; the speed-following transformation model minimizes the safety distance and provides a reference for the bottom program design of autonomous vehicles. In general, the research could not only optimize the stability of transportation system operation but also save road resources.


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