Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
- This paper describes the development of an Adaptive Non-linear PI Torque Control for electro-rheological fluid (ERF) based variable resistance brakes that are used in compact and...
Jason Nikitczuk, Abhimanyu Das, Harsh Vyas, Brian ...
— This paper first presents a novel control strategy for periodic motion control based on a Hamiltonian system. According to the strategy, hybrid symmetric orbits (ideal walking...
The problem of regulating air traffic in the en route airspace of the National Airspace System is studied using an Eulerian network model to describe air traffic flow. The evolutio...
—Epidemic models based on nonlinear differential equations have been extensively applied in a variety of systems as diverse as infectious outbreaks, marketing, diffusion of belie...