We propose and analyze a sequential design of price experimentation that balances the learning and earning trade-off in revenue management. Assuming the demand function belongs to a parametric family with an unknown parameter value, we derive a closed-form stopping rule based on the realized...

The role of network in transportation systems has gained significant and increasing relevance in the literature especially focusing on vulnerability and resilience.The structure of a transport system can positively or negatively influence the geographical areas it serves. A disruption of the...

In this paper, a novel robust controller technique is derived for the network synchronization of chaotic systems with time-varying delay. The stabilization of the complex chaotic systems is achieved by considering an appropriate Krasovskii-Lyapunov functional in order to find the asynchronous...

A multi-objective control for grid interfaced PV- BES based pico hydro system having multi mode operation is dealt in this work. The pico hydro system comprises of a PMSG driven by a DC motor, which emulates the function of an uncontrolled hydro turbine. This system utilizes only one VSC which...

We propose two novel voice activity detection (VAD) algorithms by employing i) the Reyni entropy estimate, and ii) a weighted combination of Reyni and differential entropies, at each frequency bin of power spectral estimates, by considering overlapping frames in the received signal samples. The...

Synthetic aperture radar (SAR) tomography (TomoSAR) is an appealing tool for the extraction of height information of urban infrastructures. Due to the widespread applications of the MUSIC algorithm in source localization, it is a suitable solution in TomoSAR when multiple snapshots (looks) are...

This article deals with nonlinear stochastic uncertain multi-agent systems (MASs) under mixed delays and impulse disturbances and leader-followers and leaderless systems. Based on the Lyapunov Function (LF), stochastic analysis and some inequality scaling skills, asymptotic stability is...

In this paper, we propose a novel learning-based robust adaptive trajectory tracking controller for wheeled mobile robots (WMR) subject to velocity input uncertainties. Gaussian process regression (GPR) is employed in view of its powerful estimation ability and wide scope of applications as a...

Transition metal sulfide is a promising electrocatalyst for the hydrogen evolution reaction (HER), yet it is still uncompetitive with platinum-based electrodes for clean and renewable energy applications. To resolve this issue, grid-matched palladium-nickel sulfides (Pd4S/Ni3S2) are successfully...

We consider the problem where a modeller conducts sensitivity analysis of a model consisting of random input factors, a corresponding random output of interest, and a baseline probability measure. The modeller seeks to understand how the model (the distribution of the input factors as well as...