Abstract The employment of intelligent tires to test the vehicle performances is ever-increasing in last years. Many research activities have been made correlate measurements provided by sensors tire dynamics. In this paper, a novel tire-road forces estimation technique presented. developed estimator based on an approximation well-known Flexible Ring Tire Model (FRTM) and therefore, it suitable...

i’ire behaviour plays a very important role in vehicle dynamic studies. Because of the complexity of tire structure, some tire models use so many assumptions they cannot represent tire behaviour well, while others are so complicated they are di@icult to use in engineering applications. This study presents an analytical tire side slip modeI with flexible tire carcass which is very helpful for un...

Dynamics of the membrane potential in a single neuron can be studied by estimating biophysical parameters from intracellular recordings. Diffusion processes, given as continuous solutions to stochastic differential equations, are widely applied as models for the neuronal membrane potential evolution. One-dimensional models are the stochastic integrate-and-fire neuronal diffusion models. Biophys...

Dynamics of the membrane potential in a single neuron can be studied by estimating biophysical parameters from intracellular recordings. Diffusion processes, given as continuous solutions to stochastic differential equations, are widely applied as models for the neuronal membrane potential evolution. One-dimensional models are the stochastic integrate-and-fire neuronal diffusion models. Biophys...

This paper proposes an autonomous vehicle trajectory tracking system that fully considers road friction. When intelligent drives at high speed on roads with different friction coefficients, the difficulty of its control lies in fast and accurate identification coefficients. Therefore, improved strategy is designed based traditional recursive least squares (RLS), which utilized for coefficient. ...

Dynamics of the membrane potential in a single neuron can be studied by estimating biophysical parameters from intracellular recordings. Diffusion processes, given as continuous solutions to stochastic differential equations, are widely applied as models for the neuronal membrane potential evolution. One-dimensional models are the stochastic integrate-and-fire neuronal diffusion models. Biophys...

Nacrtak The motion resistance ratio, gross traction ratio and net traction ratio of a wheel cable skidder were determined and mathematical models derived for three tire inflation pressure values with or without tire chains on forest road in mountainous conditions. The motion resistance ratio increases with the increase of tire inflation pressure. On the contrary, the gross traction ratio increa...

In uncoupled steering systems such as drive by wire, it is necessary for the driver to feel a simulated reaction torque related to tire/road interactions. To investigate this haptic necessity, we constructed a simple stationary force feedback steering wheel. This paper describes a low cost force feedback steering wheel system and introduces several driving events to validate the unit’s fidelity...

An articulated vehicle suspension comprising a parallel combination of energy restoring and dissipative elements and a feedback controlled force generator is analyzed using Linear Quadratic Gaussian (LQG) control technique. Ari ideal active suspension scheme is formulated to minimize a quadratic performance measure comprising ride quality, cargo safety, suspension and tire dynamic deflections, ...

Understanding the dynamic behavior of tires and their interactions with roads plays an important role in designing integrated vehicle control strategies. Accordingly, having access to reliable information about tire–road through tire-embedded sensors is desirable for developing enhanced systems. Thus, main objectives this research are: 1) analyze data from experimental accelerometer-based intel...