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Ricardo A. Ramirez-Mendoza
Researcher at Monterrey Institute of Technology and Higher Education
Publications - 234
Citations - 2069
Ricardo A. Ramirez-Mendoza is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Damper & Computer science. The author has an hindex of 15, co-authored 195 publications receiving 1139 citations. Previous affiliations of Ricardo A. Ramirez-Mendoza include University of Monterrey.
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Noise emission from alternative fuel vehicles: Study case
TL;DR: In this paper, the authors characterize and quantify the level of noise emitted by alternative fuel vehicles, such as hybrid and electric vehicles, for both near and far fields, and demonstrate that these new vehicles have made important contributions towards reducing engine noise in suburban and urban traffic, at least 10dB less than diesel or petrol vehicles.
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Analytical and regulatory considerations to mitigate highly hazardous toxins from environmental matrices.
Almendra Reyes-Calderón,Samantha Pérez-Uribe,Ana Gabriela Ramos-Delgado,Sathishkumar Ramalingam,Goldie Oza,Roberto Parra-Saldívar,Ricardo A. Ramirez-Mendoza,Hafiz M.N. Iqbal,Ashutosh Sharma +8 more
TL;DR: In this paper, a review of analytical and regulatory considerations to effectively monitor and mitigate any or many pesticides and toxic elements from environmental matrices is presented, with suitable examples to mitigate or reduce the damage caused by these pollutants.
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Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers
Mohammad Javad Dehghani,Mohammad Mardaneh,Om P. Malik,Josep M. Guerrero,Carlos Sotelo,David Sotelo,Morteza Nazari-Heris,Kamal Al-Haddad,Ricardo A. Ramirez-Mendoza +8 more
TL;DR: Using dynamic programming and genetic algorithm, the energy commitment of an energy network that includes gas and electrical energy is carried out and shows that energy carriers can be used efficiently using the proposed energy commitment method.
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Finite sample properties of virtual reference feedback tuning with two degrees of freedom controllers
TL;DR: The problem of designing two degrees of freedom controllers for an unknown plant based on input-output measurements is discussed and one bound on the difference between the expected identification cost and its sample identification cost is derived under the condition that the number of data points is finite.
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A Systematic Review of Technologies, Control Methods, and Optimization for Extended-Range Electric Vehicles
David Sebastian Puma-Benavides,Javier Izquierdo-Reyes,Juan de Dios Calderon-Najera,Ricardo A. Ramirez-Mendoza +3 more
TL;DR: This paper analyzes the most relevant technologies that recover energy, the current topologies and configurations of EREVs, and the state-of-the-art in control methods used to manage energy to guide researchers and automakers to generate new topologies for EVs with optimized range, improved functionality, and low emissions.