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A hybrid system is a dynamical system that exhibits both continuous and discrete dynamic behavior – a system that can both flow (described by a differential equation) and jump (described by a state machine, automaton, or a difference equation). [ 1 ] Often, the term "hybrid dynamical system" is used instead of "hybrid system", to distinguish ...
Hybrid vehicle drivetrains transmit power to the driving wheels for hybrid vehicles. A hybrid vehicle has multiple forms of motive power, and can come in many configurations. For example, a hybrid may receive its energy by burning gasoline, but switch between an electric motor and a combustion engine. A typical powertrain includes all of the ...
t. e. Systems thinking is a way of making sense of the complexity of the world by looking at it in terms of wholes and relationships rather than by splitting it down into its parts. [1][2] It has been used as a way of exploring and developing effective action in complex contexts, [3] enabling systems change. [4][5] Systems thinking draws on and ...
Parallel Hybrids. Of 25 million gasoline-electric hybrids on the world's roads, most are Toyotas—and most of those use the company's classic two-motor power-split parallel hybrid system. It used ...
In mathematics and science, a nonlinear system (or a non-linear system) is a system in which the change of the output is not proportional to the change of the input. [1] [2] Nonlinear problems are of interest to engineers, biologists, [3] [4] [5] physicists, [6] [7] mathematicians, and many other scientists since most systems are inherently nonlinear in nature. [8]
The first hybrid to hit North America was the Honda Insight, a funny little streamlined two-seater that beat the Toyota Prius to market by seven months. It had a manual transmission, was fun to ...
e. Mathematical psychology is an approach to psychological research that is based on mathematical modeling of perceptual, thought, cognitive and motor processes, and on the establishment of law-like rules that relate quantifiable stimulus characteristics with quantifiable behavior (in practice often constituted by task performance).
A system is placed in the ground state for a simple Hamiltonian, which slowly evolves to a more complicated Hamiltonian whose ground state represents the solution to the problem in question. The adiabatic theorem states that if the evolution is slow enough the system will stay in its ground state at all times through the process.