Results 91 to 100 of about 26,127 (206)

Delay-Optimal Buffer-Aware Probabilistic Scheduling with Adaptive Transmission

open access: yes, 2015
Cross-layer scheduling is a promising way to improve Quality of Service (QoS) given a power constraint. In this paper, we investigate the system with random data arrival and adaptive transmission.
Chen, Wei, Chen, Xiang
core   +1 more source

Optimal Refund Mechanism With Consumer Learning

open access: yesThe RAND Journal of Economics, Volume 57, Issue 1, Page 205-224, Spring 2026.
ABSTRACT This article studies the optimal refund mechanism when an uninformed buyer learns about their valuation over time. We consider various refund mechanisms including simple return policies (no returns or free returns), and stochastic return policies, which allow the buyer to keep the product with some probability upon receiving a refund.
Qianjun Lyu
wiley   +1 more source

Different Approaches on Stochastic Reachability as an Optimal Stopping Problem [PDF]

open access: yes, 2008
Reachability analysis is the core of model checking of time systems. For stochastic hybrid systems, this safety verification method is very little supported mainly because of complexity and difficulty of the associated mathematical problems.
Bujorianu, L.M.
core   +2 more sources

Portfolio Optimization for Pension Purposes: Literature Review

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 45-72, February 2026.
ABSTRACT This systematic review identifies persistent challenges and gaps in the literature on pension portfolio optimization models. We searched, selected, and critically analyzed 82 articles from three major academic databases published over the past decade to investigate the barriers to the effective implementation of these models.
Leonardo Moreira   +2 more
wiley   +1 more source

Numerical method for expectations of piecewise-determistic Markov processes

open access: yes, 2012
We present a numerical method to compute expectations of functionals of a piecewise-deterministic Markov process. We discuss time dependent functionals as well as deterministic time horizon problems.
Brandejsky, Adrien   +2 more
core   +1 more source

Nonparametric estimation of the conditional distribution of the inter-jumping times for piecewise-deterministic Markov processes

open access: yes, 2012
This paper presents a nonparametric method for estimating the conditional density associated to the jump rate of a piecewise-deterministic Markov process.
Azaïs, Romain   +2 more
core   +1 more source

Solution to Asymptotic Stability in Tracking Control of Nonlinear Systems With Control Input Differentiation, Actuator Dynamics, and Saturation Constraints

open access: yesIET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
The work delivers a rigorous mathematical framework for asymptotic tracking in nonlinear systems that explicitly include control‐input derivatives, actuator dynamics, and input saturation, with Lyapunov‐based proofs establishing convergence and robustness under their coupled effects.
Mohammad Reza Homaeinezhad   +5 more
wiley   +1 more source

Optimal Resource Allocation in Relay-Assisted ISAC Systems via Deep Reinforcement Learning

open access: yesIEEE Open Journal of the Communications Society
This article studies joint beamforming and power allocation in a full-duplex decode-and-forward (FD-DF) relay-assisted monostatic integrated sensing and communication (ISAC) system. The base station performs monostatic sensing in the presence of clutter,
Hamidreza Hojjati   +2 more
doaj   +1 more source

Stability conditions for a Piecewise Deterministic Markov Process [PDF]

open access: yes
In the present paper we study the stability of a threshold continuos-time model that belongs to the class of Piecewise Deterministic Markov Processes. We derive a sufficient condition on the coefficients of the model to ensure the exponential ergodicity ...
Fonseca Giovanni
core  

Revolutionising Battery Energy Storage Systems Energy Management: Dynamic‐Aware Solutions With Integrated Quantum Particle Swarm Optimisation and Deep Reinforcement Learning

open access: yesIET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT The increasing integration of inverter‐based resources (IBRs) into microgrids (MGs) poses considerable challenges for dynamic stability and energy management, primarily due to their variable and uncertain inertia and damping characteristics.
Yousef Asadi   +2 more
wiley   +1 more source

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